Subscribe to our Newsletter | To Post On IoT Central, Click here


All Posts (776)

Today, retail stores are continually concentrating on utilizing the developing advances like cloud, portable, RFID, beacons, etc., to give associated retail administrations and better shopping knowledge to clients. For instance, store proprietors are incorporating sensors in the key zones of retail locations and associating them to cloud through a gateway that empowers constant information examination identified with items, deals, and clients from these sensors.

Interestingly, IoT and associated advances are overwhelming the retail business.


 

IoT in retail can help retailers improve store operations, enhance customer experience and drive more conversions. Moreover, IoT can help retailers solve day-to-day problems such as tracking energy utilization, managing in-floor navigation, detecting crowded areas, reducing check out timings, managing product shelves, preventing theft, monitoring goods, etc. Let us how IoT helps in few of these scenarios.

In-Store Navigation with IoT-enabled Devices

Identifying in-store navigation is one of the common problems in retail stores. Here, IoT devices with integrated technologies like Bluetooth, Wi-Fi, magnetic positions and augmented reality, etc., can facilitate in-store navigation to help customers navigate through the store and find the desired product.

It gives customers a multichannel shopping experience through digitization of physical assets. In-store navigation also helps increase the path to purchase rate before a product stock outs.

Energy Management with Smart Devices

Energy consumption is a major cost consuming factor for the retail businesses, be it in refrigeration, lighting, heating, air conditioning, etc. Using these energy sources efficiently can bring cost saving of up to 20 percent per year. IoT-enabled smart devices can help resolve problems of energy management and saving.

There are several IoT-based platforms that can log, monitor and beep alarms or alert the in-store personnel about temperature, energy usage, heating, gas leakage, electricity breakdowns, etc., with the help of integrated sensors. Using these smart energy management devices, store owners can directly interact with the controllers of refrigerators and retrieve prioritized information with the help of sensors.

Theft Prevention with Geo-Fencing

The crime of shoplifting in the retail industry is increasing day-by-day, because retailers fail to provide sufficient attention to shoplifters. According to National Association for Shoplifting Prevention (NASP), more than $25 million worth of merchandise gets stolen from retail shops each day. Adding more to retailers’ loss is retail shrinkage, which includes shoplifting, employe theft, paperwork error, vendor fraud and many more.

To overcome the problem of shoplifting and retail shrinkage, retailers can use Geo-fencing technique.
Geo-fencing relies on the global positioning system or a radio frequency identification (RFID) tag that allows a store operator to create a virtual barrier or zone around specific locations in retail shops. When a customer tries to move product from the specific location, an alert is triggered and a message is sent to the store in-charge. Geo-fencing enabled in IoT devices or beacons can help retailers in a number of ways; from keeping goods safe, tracking customers and employee movements, managing company-owned resources to minimizing incidents of theft and loss.

Customer Engagement with Sensor-Enabled Shopping Carts

The sensor-enabled shopping cart is a technique adopted by most of the retail merchandisers. These shopping carts help retailers grow their business in every aspect by helping them visualize shopper’s flows by category/subcategory, understand the shopping pattern, analyze the dwell path, and enable faster checkout.

This smart cart design involves sensors with connectivity protocols around the cart, which have the ability to track the movement of the wheels and match up with the distance the cart has traveled. It helps retailers with an accurate data of shopping carts with the inside-store journey. The data from this cart can be sent to the server or to cloud for further analysis.

 

Read more…

How to Use IoT Datasets in #AI Applications

Guest post by Ajit Jaokar

Recently, google launched a Dataset search – which is a great resource to find Datasets.  In this post, I list some IoT datasets which can be used for Machine Learning or Deep Learning applications. But finding datasets is only part of the story.  A static dataset for IoT is not enough i.e. some of the interesting analysis is in streaming mode. To create an end to end streaming implementation from a given dataset, we need knowledge of full stack skills. These are more complex (and in high demand). In this post, I hence describe the datasets but also a full stack implementation. An end to end flow implementation is described in the book Agile Data Science, 2.0 by Russell Jurney. I use this book in my teaching at the Data Science for Internet of Things course at the University of Oxford. I demonstrate the implementation from this book below. The views here represent my own.

In understanding an end to end application, the first problem is .. how to capture data from a wide range of IoT devices. The protocol used for this is typically MQTT. MQTT is lightweight IoT connectivity protocol. MQTT is publish-subscribe-based messaging protocol used in IoT applications to manage a large number of IoT devices who often have limited connectivity, bandwidth and power. MQTT integrates with Apache Kafka. Kafka provides high scalability, longer storage and easy integration to legacy systems. Apache Kafka is a highly scalable distributed streaming platform. Kafka ingests, stores, processes and forwards high volumes of data from thousands of IoT devices. (source Kai Waehner)

Full stack – End to End

With this background, let us try to understand the end to end (full stack) implementation of an IoT dataset. This section is adapted from the Agile Data Science 2.0 book

Image source:  Agile Data Science, 2.0 by Russell Jurney

We have the following components

Events: represents an occurrence with a relevant timestamp. Events can represent various things (ex logs from the server). In our case, they represent time series data from sensors typically represented as JSON objects

Collectors are event aggregators which collect events from various sources and queue them for action by real-time workers. Typically, Kafka or Azure event hub may be used at this stage.

Bulk storage – represents a file system capable of high I/O – for example S3 or HDFS

Distributed document store – ex MongoDB

web application server – ex flask, Node.js

The data processing is done via spark. Pyspark is used for the Machine learning (either scikit learn or Sparl MLlib libraries) and the results are stored in MongoDB. Apache Airflow can be used for scheduling

Code

from github repository of Agile Data Science, 2.0 

https://github.com/rjurney/Agile_Data_Code_2/tree/training

The EC2 scripts: https://github.com/rjurney/Agile_Data_Code_2/blob/training/aws/ec2_bootstrap.sh*

The real-time notebook with Spark ML/Streaming : https://github.com/rjurney/Agile_Data_Code_2/blob/training/ch08/Deploying%20Predictive%20Systems.ipynb

Finally, below are some of the reference datasets you can use with IoT.

To conclude, using the strategy and code described here – you could in principle, create an end to end streaming IoT application. 

IoT datasets

Utilities

Gas Sensor Array Drift Dataset Data Set

Water Treatment Plant Data Set

Internet Usage Data Data Set

Commercial Building Energy Dataset

Individual household electric power consumption Data Set

AMPds2: The Almanac of Minutely Power dataset (Version 2)

Commercial Building Energy Dataset Energy, - Smart Building Energy ...

Individual household electric power consumption Energy, Smart home ...

Energy, Smart home AMPds contains electricity, water, and natural g...

UK Domestic Appliance-Level Electricity Energy, Smart Home Power de...

Gas sensors for home activity monitoring Smart home Recordings of 8...

Smart cities

Traffic Sign Recognition Testsets

Pollution Measurements for the City of Brasov in Romania

GNFUV Unmanned Surface Vehicles Sensor Data Data Set

CGIAR dataset Agriculture, Climate - High-resolution climate datase...

Uber trip data Transportation About 20 million Uber pickups in New ...

Traffic Sign Recognition Transportation

Malaga datasets Smart City A broad range of categories such as ener...

CityPulse Dataset Collection Smart City Road Traffic Data, Pollutio...

Open Data Institute – node Trento Smart City Weather, Air quality, ...

Taxi Service Trajectory Transportation Trajectories performed by al...

T-Drive trajectory data Transportation Chicago Bus Traces data Tran...

Citypulse ataset Collection

Taxi service trajectories

Health and home activity

Educational Process Mining Education, Recordings of 115 subjects’ a...

PhysioBank databases Healthcare - Archive of over 80 physiological ...

Saarbruecken Voice Database Healthcare - A collection of voice reco...

CASAS datasets for activities of daily living - Smart home Several ...

ARAS Human Activity Dataset - Smart home Human activity recognition...

MERLSense Data - Smart home, building Motion sensor data of residua...

SportVU Sport Video of basketball and soccer games captured from 6 ...

RealDisp Sport Includes a wide range of physical activities (warm u...

GeoLife GPS Trajectories Transportation A GPS trajectory by a seque...

Various sensor driving datasets

IoT Network Dataset

Various MHEALTH / physical activity dataset

Source: for some of the datasets Deep Learning for IoT Big Data and Streaming Analytics: A Survey

This article origally appeared on our sister site Data Science Central.

Read more…

Here's the latest IoT Central Digest. Encourage your friends and colleagues to be a part of our community by forwarding this newsletter to them. They can join IoT Central here. You can contribute your thoughts on IoT here.  

Featured Resources and Technical Contributions

Source for picture: contribution marked with a +

Read more…

Guest post by Kai Waehner

I built a scenario for a hybrid machine learning infrastructure leveraging Apache Kafka as scalable central nervous system. The public cloud is used for training analytic models at extreme scale (e.g. using TensorFlow and TPUs on Google Cloud Platform (GCP) via Google ML Engine. The predictions (i.e. model inference) are executed on premise at the edge in a local Kafka infrastructure (e.g. leveraging Kafka Streams or KSQL for streaming analytics).

This post focuses on the on premise deployment. I created a Github project with a KSQL UDF for sensor analytics. It leverages the new API features of KSQL to build UDF / UDAF functions easily with Java to do continuous stream processing on incoming events.

Use Case: Connected Cars - Real Time Streaming Analytics using Deep Learning

Continuously process millions of events from connected devices (sensors of cars in this example):

Connected_Cars_IoT_Deep_Learning

I built different analytic models for this. They are trained on public cloud leveraging TensorFlow, H2O and Google ML Engine. Model creation is not focus of this example. The final model is ready for production already and can be deployed for doing predictions in real time.

Model serving can be done via a model server or natively embedded into the stream processing application. See the trade-offs of RPC vs. Stream Processing for model deployment and a ....

Demo: Model Inference at the Edge with MQTT, Kafka and KSQL

The Github project generates car sensor data, forwards it via Confluent MQTT Proxy to ....

This project focuses on the ingestion of data into Kafka via MQTT and processing of data via KSQL: MQTT_Proxy_Confluent_Cloud

A great benefit of Confluent MQTT Proxy is simplicity for realizing IoT scenarios without the need for a MQTT Broker. You can forward messages directly from the MQTT devices to Kafka via the MQTT Proxy. This reduces efforts and costs significantly. This is a perfect solution if you "just" want to communicate between Kafka and MQTT devices.

If you want to see the other part of the story (integration with sink applications like Elasticsearch / Grafana), please take a look at the Github project "KSQL for streaming IoT data". This realizes the integration with ElasticSearch and Grafana via Kafka Connect and the Elastic connector.

KSQL UDF - Source Code

It is pretty easy to develop UDFs. Just implement the function in one Java method within a UDF class:

            @Udf(description = "apply analytic model to sensor input")             public String anomaly(String sensorinput){ "YOUR LOGIC" } 

Here is the full source code for the Anomaly Detection KSQL UDF.

How to run the demo with Apache Kafka and MQTT Proxy?

All steps to execute the demo are describe in the Github project.

You just need to install Confluent Platform and then follow these steps to deploy the UDF, create MQTT events and process them via KSQL levera....

I use Mosquitto to generate MQTT messages. Of course, you can use any other MQTT client, too. That is the great benefit of an open and standardized protocol.

Hybrid Cloud Architecture for Apache Kafka and Machine Learning

If you want to learn more about the concepts behind a scalable, vendor-agnostic Machine Learning infrastructure, take a look at my presentation on Slideshare or watch the recording of the corresponding Confluent webinar "Unleashing Apache Kafka and TensorFlow in the Cloud".

https://www.slideshare.net/KaiWaehner/unleashing-apache-kafka-and-t...

Please share any feedback! Do you like it, or not? Any other thoughts?

This article origally appeared on our sister site Data Science Central.

Read more…
The Internet of Things will do more than make our homes and cities stronger. They’ll also make everything more connected - including our people. To put it simply, we’re moving into the era of Civic Engagement 2.0. And that’s a wonderful thing, provided your city is prepared for it. Here’s how you can be.
Read more…

It is still the early days for autonomous trucks, and a report by Gartner estimates that by 2021, less than 1% of long-haul, over-the-road freight will be carried by driverless trucks. 

The trucking business already leverage the advantages of using mobile technologies, but the volatile nature of rising labor rates, fuel costs, increased traffic, and a changing regulatory environment, continuously making operations challenging.

Inefficiencies caused by lack of visibility create considerable costs. However, with the help of disruptive technology such as Internet of Things (IoT), visibility into equipment, assets, personnel, and transactions, enterprises can better support crucial operations in real-time and improve operational efficiency and performance.

By leveraging enterprise IoT asset intelligence, the trucking can tackle problems with solutions powered by IoT. 

Problem # 1: The traditional transportation model lacks the operational efficiency of the trucks.

The Solution: IoT in transportation has empowered trucking business owners to improve the operational efficiency of trucks by real-time monitoring and tracking of the fleets. With real-time monitoring capability, decision-makers can make out-of-the-box business decisions. Whenever there is an engine oil leakage, an alert is sent well before time indicating about the threshold it has reached, that’s how the internet of things makes a difference in the trucking business.

 

Problem # 2: The consumption of fuel was increasing and congestion problems start arising. 

The Solution: Usually, the traditional transportation business models consumed energy affluently due to improper route management, so an optimized route management was crucial to building a sustainable trucking business. With the help of real-time field data, efficient fleet route management eliminated almost 175 grams of carbon emission, produced by every extra mile traveled by any vehicle. With the manual monitoring getting expensive and inaccessible, the IoT enabled heat and motion sensors to utilize the energy resources more smartly, which provides huge value to the administrators. 

 

Problem # 3: Tracking of the public transport became a serious issue.

The Solution: Managing the traveling from one point to other was possible by the traditional public transport but not the tracking real-time location of the vehicle and knowing when it will arrive at a particular stop. With the help of real-time sensor data, selecting the optimal route based on real-time conditions got easy, resulting in better public transit management. The IoT sensors tell where the traffic is jammed up and reduces the congestion and find an alternate route became easy which consumed the energy and time. IoT sensors tell where the traffic is jammed and convey the alert to the fleet and find an alternate optimized route to save time and energy.

 

Problem # 4: Increase in operational cost and damage to the infrastructure.

The Solution: From the traditional transportation model, loading the exact amount of load in the trailers was near to impossible. So, a proper check on the vehicles like size, weight, and type of vehicles is done and the load in the trailer is measured in real-time using weight sensors. Through IoT and smart devices, the overloaded vehicles can be identified and can be partially unloaded to evade fines. From the real-time tracking, alerts are sent well before time so that an optimized efficiency can be achieved.

 

Problem # 5: No advance alerts and availability of parking slots.

The Solution: The integrated smart transportation system tells the real-time information of the driver as well as the vehicle and warns them about the potential engine outbreaks. IoT in transportation can also ensure the smart parking, which tells about the lots that are presently available in real-time. Also, the multi-level parking system helps in reducing the operating and maintenance expenses. IoT sensors help in increasing the safety, comfort, and efficiency in driving and parking.

 

CONCLUSION:

Over the several recent years, the Internet of Things has unlocked a box of new opportunities in the trucking industry and has undoubtedly advanced beyond recognition. IoT is all about digitally connecting devices and analyzing the data to predict future outcomes or possibilities and the transportation industry is at a point where it can leverage the full potential of this disruptive technology.

Read more…

One year ago, I wrote the first part of this article: “Who need an IoT Analyst?. In those first part, I classified the different types of analysts who are involved in one way or another in the Internet of things (IoT).

In this second part, I will address the special case of analysts specializing in IoT Platforms. For them, I have created 4 categories of IoT Platform Analysts (The Powerful, the Specialists, The Opportunist and the Intruders) and then I ranked them following two high level criteria: Technical Experience criteria and Business Experience criteria.  The level of influence is a subjective value based on my own research and perception.  Likewise, the position in terms of technical and business criteria is also subjective. As usual in these graphics some will feel comfortable and I will receive critics from others. Nothing new under the Sun.

Let us start for the Powerful category:

The IoT Platforms Powerful Analysts' Firms

We will never remove at 100% the shadow of doubt flying over the reports and recommendations that prestigious and powerful firms like McKinsey, Gartner, IDC or Forrester continue to publish. But it also true that these multinational companies count with great analysts and they have the contacts with the right people in the Big IoT platform vendors, so they can get not only marketing info but strategic info from these vendors that is nearly impossible to get for others.

Not all the Powerful always agree, just read the Forrester reports of Q4/2016 and Q4/2018 and compare with Gartner report 2018 or IDC report 2017 to see the differences and the reasonable doubts for customers that only read these reports.

In Forrester reports from 2016 and 2018 we see some leaders maintaining their positions while other companies are losing moment, or they are not anymore in the picture.

Surprise even more if you see the Gartner graphic below with no leaders and most companies in the Niche players segment.

Finally, in the IDC Marketspace IoT Platforms picture dated in 2017 we see that Microsoft, PTC and IBM repeat as Leaders but new companies are included. No Contenders neither participants are interested for the guys of IDC.

Recommendation –  In terms of methodology and scope the reports of these Powerful analyst is not so bad, but they lack the in deep analysis firms required for a customer to take a final decision. These reports are valuable to shortlist candidates in RFIs/RFPs and of course the report is an excellent sales tool for companies that appear in the picture. My recommendation is used it for a first filter.

The IoT Platforms Specialist Analysts' Firms

Some of them started with the M2M market and have evolved to the IoT in a gradual way, without losing its essence like ABI Research, Berg Insight, Beecham Research, Harbor Research. Others like MatchManation or IoT Analytics, however, focused from the beginning in the IoT platform market analysis.

The populated market of IoT platform vendors and the need of these startups for brand recognition with low cost marketing, have made it bloom IoT platform specialist analyst firms offering their services.  Their suspense sales strategy can be annoying. Go discovering who is who is not easy and put all the tracks together is expensive. Some examples below. Nevertheless, I want to thanks to some vendors included in the report that allow download partial reports.

Recommendation - The reports of IoT Platform specialists will help us discover some jewels that the Powerful have overlooked or have not wanted to pay to appear in their famous reports. I do not like how these companies use a game-strategy offering partial pictures or partial reports through their most valuated clients or generic pictures with no names. I believe they need to be courageous and present graphics will all companies’ logos. Otherwise they will be continuing in a niche market that soon will be owned for the Big Players.

The Opportunistic Firms

These analyst firms want to take advantage of the IoT platform moment. Companies such as Navigant, IHS market, 451 Research or Constellation Research have published reports on this topic.

Recommendation - I find their IoT reports useful from a vertical or an individual vendor analysis.

The Intruders Firms

There are other firms (The Intruders) that in my opinion are aggregators of content. Companies like Markets and Markets or Data Bridge deliver big reports with excellent pictures, tables and infographics.

Recommendation - Sometimes they provide for free a Table of Contents with dozens of tables, and a list of dozens of IoT platforms info but I am afraid that in 1 page per platform the info sounds irrelevant for take a decision. They facilitate the multi search in Google to identify IoT platform vendors.

Note: I have not included in this article Universities that produce very interesting to read reports including more granular technical criteria than most of the powerful or specialist analyst firms. 

Key Takeaway:

Recommending a client an IoT platform is a very delicate matter. The IoT platform will play a key role in the execution of its IoT strategy. Giving good advice on the choice of these platforms requires a lot of time and dedication with the client to understand their objectives, identify their use cases, know their organization and their IT / OT systems.

The reports of the analysts of IoT platforms, both those of the Powerful and those of specialists help to make a first filter and to select 3 or 4 vendors that best adapt to their needs. Thereafter, these finalists need to be analyzed in greater depth. That is why I decided to create our IoT Platforms services, which have been so successful and well received by our customers.

We value positively that this combination of IoT Platform vendors and IoT platform analysts exists. The Powerful ones help them as always and the small ones help them in their efforts to be noticed in a technological world as little democratic as the present one.

Thanks in advance for your Likes and your Shares.

 

Read more…
Digital Transformation is moving any company into the future. Well, this statement is true for Disney, Nestle, Apple, Amazon and other leaders as they focused mostly on the customer/user experience.
 
Digital Transformation is in almost every c-level magazine, blog and whitepaper and executives do not want someone comes in and disrupt their business.
 
If you want to reap the rewards of the digital revolution, a smooth, easy and positive user experience is vital.
 
People may not be getting technically proficient, but they have become more comfortable using their smartphones to download music, find the nearest movie theatre or pay for purchases. This raises the bar for user experience.
 
Today organizations are adopting MobilityAnalytics, and the Internet of Things for Digital. However, solutions, which are not intuitive, responsive and social, does not have a place in the customer’s list. So it becomes appropriate for companies to get into the user experience space.
 
A UX design can supercharge productivity, add immense value to customer interactions, and help employees love their jobs.
 
It is extremely important to do an accurate analysis of users, their needs by conducting surveys, workshops to design the UX.
 
Here are six major criteria for UX design:
  • Easy to find: How easy it is to find a site or application
  • Ease of use: How easy it is to use the site or application, how easy to learn
  • Easy to access: How easy it is to access the site or application, easy to understand, easy to reach
  • Usefulness: How useful the features and functions are and they meet my needs
  • Elements of desirability: Will make users like the product’s looks and feel and visual appeal
  • Credibility: How much users trust the site or application, creating the overall brand experience
 
Overall UX design should have short navigation steps so users require very few clicks to get the information they want. It should be based on responsive web designs so application maintain full functionality, usability and appeal on different browsers and screens from desktop to laptops to tablets to smartphones.
 
Once you have applied these criteria it is also important to measure the results, for future course correction. One initial KPI is user adoption rates, which should be higher than 60%.
 
The great user interface makes the experience better, transactions easier, decision making simple and cuts down the operational costs. 
 
It is the deciding factor for keeping/loosing or successfully engaging a customer.
Read more…

Throughout the years, the oil and gas industry has confronted numerous difficulties — from expediently changing economic situations to an enormous decrease of ability and workforce. Because of these difficulties, numerous oil and oil providers' development designs were put on hold. To beat these difficulties and also to maintain their business development designs, organizations are looking towards inventive innovations. Web of Things and Cloud are the key advancements for oil and gas industry that assistance accomplish operational productivity. IoT and cloud advances enable the business to manage various difficulties, for example, instability of oil costs, guaranteeing the security of laborers in the dangerous condition, getting to information and data for taking right choices, observing remote resources, fuel shipments, and so forth.

 

How IoT and associated cloud advancements functions for oil and gas industry:

 

The usage of IoT and cloud innovation enables organizations to enhance oil and gas activities by beating challenges. For an example, data gathered from every framework enables specialists to direct a functioning checking of the general framework, including gas spillage, different dangerous conditions, and so on. Also, associated frameworks can be customized to send dynamic alarms to other associated gadgets in the event that they start to fizzle. In such cases, cautions can likewise be sent when frameworks are going to encounter a high-weight circumstance or some other perilous issues.

 

The associated framework gives a total perceivability of the operational floor, even in a remote area, guaranteeing proactive support to follow up on potential issues, for example, issues in tank levels, oil weight, spillage, and so on., from sensors sent in the well. What's more, IoT enhances efficiencies in resource following. The utilization of sensors allows the oil organizations to screen countless alongside stock and oil and gas shipments. These following sensors give valuable data so the organizations can recognize the quantity of provisions in inventories and if any thing is feeling the loss of, the IoT sensors can be utilized to track shipments with the correct area of each oil and gas shipment.

 

Part of digitization in the improvement of oil and gas industry

 

Digitization in oil and gas industry permits oil and gas organizations to enhance their business by decreasing costs, enhancing basic leadership, and expanding the profitability and effectiveness, to augment business and operational advantages for development. Also, wearable innovation joined with the cloud capacities can support laborer wellbeing by enabling supervisors to screen representatives in danger.

 

There are distinctive IoT and cloud stages accessible in the market. Here, we will discuss how AWS Cloud administrations can help defeat issues in the Oil and Gas industry.

 

Pipeline security challenges

 

Pipelines are a standout amongst the most productive methods for transporting vast amounts of unrefined petroleum or flammable gas. There are diverse difficulties in keeping up these pipelines, for example, consumption, human blunder, spillage, metal misfortune or modest splits, which can result in real breakdowns and perils. Indeed, even a pinhole spillage, which can be not entirely obvious amid a virtual investigation, can turn into a major issue. Likewise, it is basic to keep up the temperature of oil and gas in funnels to keep the water and oil level adjusted with a specific end goal to lessen the odds of future accidents.

 

Distributed computing stages like Amazon AWS enable organizations to utilize a system of gadgets and remote servers facilitated on the web — to store, oversee, and process information. Cloud-based preparing administrations empower pipeline administrators to process a colossal measure of information keeping in mind the end goal to run a point by point examination that enhances the straightforwardness and wellbeing of pipeline activities.

 

To oversee pipeline, assess hazard, expel human blunder, give specialist wellbeing, get to information identified with remote areas, and so forth., AWS IoT Device Management can be of extraordinary help. With AWS IoT Device Management, pipeline administrators can without much of a stretch locally available and track associated IoT gadgets. It can likewise help in the scaling of existing gadget armadas, which can lessen the cost for extensive arrangements.

 

Apparatus downtime challenges

 

In the Oil and Gas industry, generation downtime can result in a huge number of loss of dollars every day. To guarantee that the generation apparatus and other basic hardware downtime are limited, organizations need to put resources into customary upkeep and observing of utilizations. Updating an upkeep application to guarantee a more prescient support of oil hardware and apparatus with advanced innovations and information can help seaward creation offices to chop down their spontaneous downtime and drive a superior operational effectiveness.

 

As the oil and gas creation moves towards a more computerized and information empowered condition, it is vital for the administrators to manufacture more prescient and information driven methodologies for resource tasks. Currently checking and following the state of segments is exceptionally basic, with the goal that the frameworks don't separate and bomb on a foreordained calendar.

 

Amazon Cloud Watch causes screen assets to mechanize activities in light of characterized measurements, gather and screen log documents, and set alerts. This at last aides in using applications at an ideal level, keeping up application execution and guaranteeing operational wellbeing to keep the application running easily.

 

Cloud-based administrations can offer skill and adaptability to help information driven methodologies as they proceed to develop and advance. Utilizing AWS cloud administrations for observing, gathering telemetry information from numerous gadgets, and putting away and breaking down the information can diminish the future endeavors.

 

Penetrating difficulties in the ocean

 

Profound penetrating is a territory of oil and gas investigation that need a superior innovation. Profound apparatuses are utilized to bore assets that are hard to reach. Be that as it may, the more profound the apparatus goes, the more unsafe it progresses toward becoming. Subsequently, the apparatus and administrators must be precise as far as inches and centimeters amid the boring procedure. Deepwater boring is troublesome actually, and furthermore increment the quantity of natural concerns if done unsystematically.

 

One of the innovations to manage such difficulties is RFID (Radio recurrence recognizable proof). RFID lessens hazard and non-gainful time and perform tasks that are troublesome with customary instruments. The RFID innovation utilizes minor electronic gadgets that comprise of a reception apparatus and a little chip to consequently distinguish and track marks that are connected to boring items. In addition, RFID with AWS cloud administrations empower oil and gas associations to build their productivity and decrease the cost of conveying penetrating apparatuses. Also, with cloud-empowered RFID, associations can foresee the accomplishment of boring activity as per nature, and also benefit data to distinguish ideal oil penetrating areas. Additionally, it helps oil and gas associations to recognize potential penetrating mistakes or hardware disappointment with the assistance of ongoing sensor information and land information from gear.

Read more…

Those who regularly read my articles know that I like movies and TV series. Just remember my article "About IoT Platforms, Super Powers Methodology, Superheroes and Supervillains".

This time my article is dedicated to the two trilogies: Jurassic Park and Jurassic World (the latter still pending the third movie).

 

Have not passed millions of years since the appearance of the first telemetry species and their evolved cousins of Machine to Machine (M2M.) But the tempo in technology is measured differently. The unit of time here has to do with Gartner Hype Cycle. For Gartner the technologies pass quickly from Innovation Trigger to Productivity. Companies that want to appear in Gartner´s  Magic Quadrants have to adopt successfully these technologies or are condemned to  disappear.

 

Large companies that have been in the IT world for more than 15 years seem like dinosaurs and they themselves are afraid of disappearing because of a meteorite (IoT metaphorically).

 

In this article I present some technology companies that we could consider as dinosaurs and that are undergoing a cloning (transformation) to adapt to the new world of the Internet of Things (IoT), Artificial Intelligence(AI) or Blockchain.

 

As usual in this type of articles, the included companies and the classification is subjective. Therefore, not all dinosaurs are represented (47 species of cloned animals have been portrayed in the novels and films) nor all companies can feel be represented by the dinosaur that I have chosen for them.

 

Welcome to my Jurassic World of IoT.

The threats to these cloned dinosaurs are constant. Despite its size and strength many predators lurk to take down these giants (Uptake digital safe package over GE Digital).

Some species go in packs (Google and Ayla Networks or Microsoft and Electric Imp) to survive and others seek alliances with other cousins giants (Rockwell to take $1 billion stake in software maker PTC) the best way to reign in its territory.

 

There are also dinosaurs in the WestWorld of the Telcos and in the world of Industrial companies that are adapting or cloning, but that is another story.

 

Your comments and suggestions can vary my Jurassic World table of the IoT.

Read more…

Here's the latest IoT Central Digest. Encourage your friends and colleagues to be a part of our community by forwarding this newsletter to them. They can join IoT Central here. You can contribute your thoughts on IoT here.  

Featured Resources and Technical Contributions

Source for picture: contribution marked with a +

Read more…

Here's the latest IoT Central Digest. Encourage your friends and colleagues to be a part of our community by forwarding this newsletter to them. They can join IoT Central here. You can contribute your thoughts on IoT here.  

Featured Resources and Technical Contributions

 

Source for picture: contribution marked with a +

Read more…

Considerations for IoT App Development


The textbook definition: Internet of Things (IoT) is the network of physical devices connected to each other. In layman’s term, any device or appliance that is connected to other such items via the internet or any such wireless network.

You must have watched in movies devices like smart mirrors that show weather and news, and touch screen car dashboards. These things are not fantasies anymore but present-day gadgets.  IoT solutions aren't just for larger than life devices but also for normal appliances. You can convert your regular water faucet or AC into an IoT Compatible device with some simple adjustments.

There are some sensors and radio frequency tags that receive commands from your mobile or computer and follow the instructions accordingly. So you can sync your mobile’s alarm with your bathroom’s faucet so that after 15 minutes it will start heating water for your bath. And the fridge can send a message to your smartphone with the list of items running low like milk or eggs.

What is the IoT App Development?

The textbook definition: IoT App Development is an amalgamation of many different skills in the production and maintenance of app products like Native/Hybrid apps, web applications built to control consumer electronics, IoT devices. Simply said, IoT app development is the means by which we develop a platform where unconventional smart home Devices  (toaster, doorbell, etc) communicate with conventional IoT devices (computer, smartphones, tablets).

If we are talking about IoT developers then, they are working to make other unprecedented objects also networking just like present-day mobile devices.

Present day IoT facts:

  • In the year 2018, there are almost 2 billion individual devices across the world connected via IoT technology.
  • It is projected that the IoT industry will become a whopping $3 trillion business by 2020.
  • Back in 2008, there were more devices connected to the Internet than people.
  • ATMs can be considered as some of the first IoT devices that went online back in 1974.
  • The market for Radio Frequency Identification (RFID) tags, used for transmitting data to identify and track objects, is worth more than $11.1 billion.

IoT (Internet of Things) examples:

Smart Home, connected devices from bulbs, fans to TV and in some cases the entire house is Smarthome.

Business offices have adopted smart projectors, voice-enabled assistants (Alexa, Home Pod, Google Home) and other devices. Transportation has real-time responsive vehicle dashboards that warn you about traffic and even save lives by projecting possible accidents and warn the driver in the span of milliseconds. A groundbreaking example of this is the BMW i8.

The possibilities are endless with IoT web development. With more and more things joining the IoT club and that too the objects that could never have been imagined to become an Internet of Thing.

Advantages of IoT app development

Data is the currency of the future. So the more data you have, the richer you are. IoT devices like smart clothes can keep track of your skin condition and warn of possible skin conditions. This information can be sent to your dermatologists who can clearly understand your symptoms without making an error and give the right cure.

Time is the most invaluable thing; more for people who may be fighting a life or death situation. If the paramedics responding to an accident call have an IoT device that can give the vitals and relevant medical information of the patient then countless lives can be saved because of the timely response.

Money is the driving force of the financial world and IoTs are saving a whole lot of it. If your fridge knows which grocery items are running low, it can send a list of items to the home assistance device which can order the groceries from the best and cheapest source.

Tracking your daily activities will give in-depth information about almost everything. This makes medical, retail, entertainment, and many other industries to cater to your needs on a more personalized level.

IoT Product Design

If you are an IoT web developer or an entrepreneur planning to build an connected products  or IoT service then you need to learn what platforms and what languages will be used for the same. The pre-requisites before starting you IoT product design (for this blog we would consider IoT app development) are:

IoT Development Platform

IoT app development programming languages were more unique earlier but now common web and app development languages can be used. This choice in programming languages freed IoT app development from restrictions that were present with older embedded systems. The choice of programming language can be done on the basis of the knowledge of your app developer, compatibility with your IoT app development ecosystem, the speed of development, size and memory of the code, and efficiency required.

Programming Language

Advantages

Disadvantages

C & C++

Almost every programmer know this language

Code is more hardware-specific

 

Popular for Linux OS and Arduino which were used for IoT software systems

 

Java

Code is less hardware-specific, making it more portable

Requires libraries to run on different hardware

 

Write once, run anywhere type of code

 

Python

It’s an interpreted language, making it more flexible.

Compared to Java’s speed, Python is slow.

 

Codes are easy to write and read.

 

 

Perfect for data-heavy apps.

 

 

There are many other options for programming languages like Node.JS, JavaScript, Go (Google), Rust, B#, Parasail, etc. to choose from.

Back End Development

When trying IoT app development you need to consider that each device has different capabilities and commands. The way of communicating with each device will vary. So a pre-defined framework for communication should be set or each individual device that the IoT app can understand. Node.JS has emerged as the common framework for this type of communication between IoT devices.

Speed

Design strategies for slow connections should be adopted. Unlike traditional websites, where requests go to a web server which sends data back; there is another communications step involved for IoT devices. This potentially means additional latency and the user’s perception of slow response.

User Interface (UI)

The UI for IoT app should be fast, clean, and intuitive. The need for a good feedback program and user-assistance is a must to get precise data from the IoT device. Because the app will be in the mobile device and command other non-mobile IoT devices, all the standard usability practices are to be integrated for the users’ ease.

IoT app development has a bright future ahead. It is the next big thing after the Internet and if you wish to be a part of this glorious future then you need to hurry. 

Read more…

With literally hundreds of IoT platforms on the market, how do you know which ones to add to your short list? As a rule of thumb, an IoT platform should connect to Things, manage their identity + security, collect data, store, manage, analyze and visualize that data, integrate with enterprise systems and take action on insights. 

In this podcast, Rob Tiffany walks you through these minimum requirements to help you make an informed choice.

http://theinternetofthings.io/iot-podcast-8-what-to-look-for-in-an-iot-platform/ 

Read more…

We are well aware that IoT offers a range of possibilities across various industries including consumer electronics and cars, healthcare, utilities, transportation, manufacturing, and so on. Also, Industrial IoT offers means to obtain insights into the business operations.

IoT offers a greater promise in the healthcare sector than in other sectors. This is because the IoT principles are already being applied to enhance the quality of care, reduce the cost of care, and improve the overall access to care. 

The integration of IoT features into medical devices greatly enhances the effectiveness and quality of service, especially bringing greater value to those requiring constant supervision and elderly patients suffering from chronic illnesses. The IoT has the potential to not only keep the patients healthy and safe but also to improve how the doctors provide care as well.

A few estimates have revealed that by 2025 spending on Healthcare IoT solutions will reach around $1 trillion, and hopefully, will make the conditions favourable for highly accessible, on-time, and personalized health services for everyone.

The IoT can also enhance patient satisfaction and engagement by allowing patients to spend more time interacting with their doctors. This article will explore some of the major applications of healthcare IoT and the challenges it poses for healthcare today.

Applications of Healthcare IoT

Starting with managing chronic diseases to preventing a disease, there are a broad range of applications for IoT in the healthcare sector. Now, let’s dig deeper into each of the major applications.

Providing Constant Attention

The patients who are hospitalized and whose health status requires close attention can be monitored constantly using noninvasive, IoT driven monitoring. This kind of solution uses sensors to gather comprehensive physiological data and the cloud and gateways to examine and preserve the data and then send the examined information wirelessly to physicians for further analysis and review.

This eliminates the need for the doctor having to visit at regular intervals to check the vital signs of a patient, instead offering a continuous and automated flow of data. In this way, it enhances the quality of care via constant attention and lowers the cost involved by eliminating the need for a physician to engage actively in data gathering and analysis.

Building Trust

The connectivity of a healthcare system with the IoT places emphasis on the patient needs. This means timely intervention by doctors, enhanced accuracy in case of diagnosis, proactive treatments, and improved treatment outcomes result in a care that is highly accountable and gains trust among the patients.

Remote Patient Monitoring

All over the world, there are many people who face health issues due to lack of access to effective health monitoring. But, with the help of powerful, interrelated IoT solutions, monitoring the patients has become easier than ever.

These solutions can be utilized to capture the health data of a patient in a secure way from different sensors, make use of complex algorithms to examine the data and then share it via wireless connectivity with the physicians who can make proper health recommendations.

Reduced Costs

With the availability of real-time data from the connected healthcare solutions, the doctors can not only take better care of their patients but also lessen their number of visits to the patient as they can monitor their patients remotely. This decreases the overall health care costs as the costs involved in hospital stays and readmissions are cut down to a greater extent.

Configuring Emergency Alerts

Healthcare IoT allows care teams to gather and connect millions of data points regarding the personal fitness of a patient from wearables like activity, temperature, perspiration, sleep, and heart-rate. As a result, the information obtained from sensors can send out real-time alerts to caregivers and patients so they obtain event-triggered messaging such as triggers and alerts for elevated heart-rate and so on. This will hugely enhance workflow optimization and ensure all the care is handled from home.  

Challenges of IoT in Healthcare

The IoT continues to face challenges in spite of the promise of what it can achieve in healthcare. If these challenges are not addressed soon, they could put the IoT at risk of failure.

By intent and design, the IoT devices collect and transmit real-time data. The infrastructure required to receive and process this information should be designed and developed for scale. This means obtaining, processing, and storing data in real-time from millions of IoT devices and applying analytics to gain insights from this data. Unfortunately, most of the providers lack the know-how and infrastructure to access the data.

Also, most of the devices reporting healthcare data suffer from a lack of common security practices or standards. Due to this, many healthcare IT professionals have raised concerns about the risks associated with data breaches and IoT device tampering.

Other major challenges include lack of EHR system integration and lack of adoption of interoperability. Addressing these problems will further revolutionize the health industry as more organizations will start implementing IoT for their healthcare services.

Conclusion

Healthcare IoT is transforming the way the facilities are delivered to patients. In order to derive the true value of healthcare IoT, the interrelated healthcare devices and the processes that are supporting them must work as a joint system that is comprehensive, integrated, and secure. With healthcare IoT facing few challenges, the healthcare providers are hopeful that the IoT will have a positive impact on delivering valuable data and supporting patient care.  

Read more…

The internet of things (IoT) is much more than the next step in consumer technologies — it also represents a significant leap forward for industries of all kinds.

Manufacturing is already — and will continue to be — a field almost uniquely suited to applying IoT technology. In fact, there's almost no part of the process that won't be touched in some way by this ever-expanding web of smart and interconnected sensors, computers and machines. No matter how large or small your operation is, it's increasingly difficult to understate the potential value of adding intelligence and oversight to your processes using the internet of things.

Here are four ways IoT is revolutionizing the field of manufacturing.

A Greater Degree of Competitiveness

According to a report published by Verizon in 2016, an overwhelming majority of manufacturing managers already consider IoT technology a critical competitive advantage. It's hard to believe that such a sea change happened practically overnight, but not quite so much when you realize what's at stake.

Suffice it to say, the IoT represents a bundle of industrial innovations that have been a long time coming. Most of the competitive advantages cited by the Verizon report have to do with parts of the manufacturing and business processes that required guesswork or drew from incomplete data sets. We're talking things like altering business processes based on current demand and future trends, optimizing longstanding workflows and responding to unforeseen events.

Technology powered by the IoT can make manufacturing companies more competitive by, among other things, granting some autonomy and automation to back-end processes that inform the rest of your employee processes and workflows. This type of automation could, for example, automatically flag product for shipment to another location based on current levels or even trip a slowdown on one production line to pivot to another product if future demand isn't expected to be there.

The result is a leaner business that can run circles around your more flat-footed competition, who might've been slow to adopt modern technologies. 

A Demystified Supply Chain

Gathering useful insights into the supply chain — that all-important web of manufacturers, shippers and vendors that makes modern production and order fulfillment possible — has been one of the most significant advantages of applying the IoT.

Of course, oversight into vendor and shipper processes is nothing new — but accessing it and making decisions in real-time is a relatively new innovation courtesy of the IoT. These days, every plant location and every party responsible for assembling or moving finished or in-progress merchandise enjoys a higher degree of transparency and collaboration thanks to remote monitoring technology, sensors along material handling paths and assembly lines, and more.

Perhaps most importantly, the availability of granular data at each stage lets each party know exactly what inventory levels look like, all the way up and down the supply chain. This is a significant innovation and a huge stride toward true lean and just-in-time manufacturing, not to mention seamless collaboration. Neither wasteful production methods nor products sitting idle that are needed elsewhere are long for this world, and it's all thanks to the IoT.

Automated Maintenance and Unsafe Operation Alerts

Even the very machines manufacturers use to fabricate and assemble new products are getting smarter thanks to the internet of things. Low-cost sensors are easier than ever for facilities to deploy on their critical machines and equipment, which can make the time and labor associated with ongoing maintenance far easier to manage.

Sensors on manufacturing and product handling equipment provide real-time alerts and analysis concerning the condition of the machine and its many moving parts. These sensors can also take the guesswork and scheduling out of regular equipment maintenance by sending an alert to the appropriate parties at regular intervals — or whenever the machine's onboard self-diagnostic tools detect an impending failure or fault.

The implications for manufacturing are enormous since no two organizations work under the same conditions and with the same equipment. IoT-powered condition-based alerts help facilities maintain the health of their machines, no matter where in the world they're located and no matter what the temperature and humidity are doing. Some devices are more finicky than others when it comes to environmental conditions, making no-hassle maintenance a considerable advantage.

Improved Safety Oversight

Before the industrial internet of things, key performance indicators for employee safety and work environment were commonly spread across several systems, including paper-based ones. This made it difficult for plant managers to get a good, top-down sense of where dangerous processes existed or what types of simple process changes might result in improvements.

The internet of things makes it possible to gather data concerning work accidents and near-misses, property damage, employee injury rates by process and more. It's quite common — and potentially even required — for modern business to track some of these data points as for various compliance purposes. However, it's less common to assemble them in one place and use modern digital technologies to draw actionable conclusions, isolate consistent trouble areas and drill down to causes.

Wearables are another safety-minded application of the IoT. Helmets and wristbands are being eyed as possible future locations for health-related sensors to keep track of workers' physical locations, temperatures, heart rates and more — all in service of rotating employees more regularly, keeping bodily stresses to a minimum and bolstering organizational safety as a whole.

Tomorrow's Technology Today

It's likely that the future will see even more IoT innovations for manufacturing. For right now, these four major improvement areas represent many opportunities for the modern business to revolutionize what they do and how they do it.

Read more…

Since its conception, IoT has been impacting numerous businesses in unprecedented ways than expected. IoT infrastructure market, one of contemporary niche verticals of the building construction and infrastructure development sphere, now holds the reputation of being encompassed among the many IoT influenced business spheres. The proliferation of the Internet of things in infrastructure development has led to the procreation of smart homes and cities, touted as a revolutionary phenomenon of the 21st century. With the rising demand for connectivity to enable smart security, social surveillance, smart transportation, energy safety, smart metering, and efficient governance for enhancing consumer lifestyle, IoT infrastructure industry is likely to garner much acclaim in the ensuing years. Estimates compiled in a recent IoT infrastructure market research report forecast this business space to have accumulated a valuation of close to USD 15 billion in 2016.

U.S. IoT infrastructure market, by application, 2016 & 2024 (USD Billion)

A succinct overview of IoT infrastructure market in terms of the application spectrum

IoT infrastructure industry outlook from smart homes

The proliferation of IoT in the home sector has brought about a barrage of changes in consumer standard of living. IoT-enabled homes offer some of the best advantages that can transform a person’s lifestyle across the urban space. Smart devices such as the Nest thermostat, Amazon Echo, smart fridges, Google Home, Wink Relay and Controller, etc., have been popularized across IoT infrastructure market and liberally deployed in smart homes, subject to their incredible benefits such as controlled energy consumption, automated notifications, weather alerts, etc. Fiercely vying with one another to consolidate their positions in IoT infrastructure industry, tech companies have been going the whole hog to introduce highly advanced connected devices for smart homes.

IoT infrastructure market outlook from smart buildings

The deployment of big data and IoT in smart buildings helps deliver actionable insights to improve consumer living comfort, optimize building operations, and reduce energy expenditure. The robust rise in the number of connected devices being installed in smart buildings bears evidence to the fact that IoT infrastructure industry share from smart buildings is likely to plummet in the years ahead. Companies have been planning strategies to brainstorm numerous connected devices for exploiting the potential of IoT in buildings. Recently for instance, Kone signed on a multi-year deal with IBM, with an aim to maneuver the IBM IoT Cloud Platform for connecting, monitoring, and optimizing building components such as doors, elevators, turnstiles, and escalators.

IoT infrastructure market outlook from smart cities

A recently compiled report depicts that close to 60% U.S. citizens prefer living in smart cities, given their incredible advantages. The rising proliferation of smart cities is evident from the incredible proportion of smart city projects that are being undertaken across myriad geographies – which may have a mammoth impact on the revenue graph of IoT infrastructure industry. The numerous advantages provided by smart cities with regards to planning, finance, energy safety, transportation, and other urban aspects have accelerated their demand and popularity across IoT infrastructure market. In consequence, tech behemoths have been signing public-private partnerships, that would lead to the generation of layered framework to address the many challenges of smart city projects by building effective, connected solutions.

The Internet of Things, conceived back in the 1980s at the Carnegie Mellon University, has now metamorphosed into a prodigy that defines efficiency, sustainability, and convenience. The deployment of this concept in infrastructure is likely to open up a plethora of opportunities for construction companies, real estate developers, technology behemoths, and infrastructure development firms, that would strive to brainstorm numerous solutions for connected infrastructure, augmenting IoT infrastructure industry trends. An IoT related report by a research firm claims close to 1.40 billion IoT units to be shipped ahead for smart city projects by 2020, for smart homes, smart buildings, smart transportation, sustainability and climate change. This provides ample evidence to the fact that IoT infrastructure market is here to stay, boasting of a widespread array of technologies, platforms, and applications. A report compiled by Global Market Insights, Inc., claims IoT infrastructure market size to surpass a valuation of more than USD 130 billion by 2024 – which is apparently close to 8.5 times its value in 2016.

Source:https://www.gminsights.com/industry-analysis/iot-infrastructure-market

Read more…

Despite the great promise of IoT to improve business and society, many think it’s being held back due to complexity and the associated lack of required skills to make it a success. Is it possible that the antidote to this complexity and skill shortage problem lies in the existing open standards and technologies that comprise the World Wide Web? In this podcast, Rob Tiffany makes the case for using existing W3C standards to power the Internet of Things.

Check it out at https://theinternetofthings.io/iot-podcast-can-the-web-save-the-internet-of-things/ 

-Rob

Read more…