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Debunking IoT Myths: Part 1
RunTime: 25 minutes
This IoT Central webinar is the first in a two part series explaining the top five misconceptions about IoT.
IoT has rapidly evolved, promising transformative changes in various sectors. However, amidst the excitement, misconceptions about IoT are common, often hindering its adoption and understanding. In this webinar, a panel of four experts delve into debunking five prevalent myths surrounding IoT, shedding light on the realities behind the technology.
Topics include:
- What connectivity means in IoT
- Understanding cloud data
- The data, information, knowledge, wisdom pyramid
- The IoT analytics journey
- IoT program management
With diverse fields of expertise, our panelists will provide deep insights, clarifying the realities of IoT technology. Join us as we separate fact from fiction and explore the true landscape of the Internet of Things.
Moderator:
Heath Marvin, Senior Vice President, Engineering at Very
Panelists:
Nick Refalo, Vice President, Program Management at Very
Daniel Fudge, Director of Machine Learning and Data Engineering at Very
Steve Veltkamp, Lead Product Designer at Very
Umakaran Nemallan, Director of Hardware at VeryIP vs. Messaging for Satellite Data Transmission
Length: 24 minutes
In this IoT Central webinar, learn why the fastest and easiest way to send IoT data over satellite - an IP connection - often isn't the most efficient or cost-effective route. Watch this webinar to hear satellite IoT connectivity experts Alastair MacLeod and Ric Searle explain:
- The positives and drawbacks of using an IP connection
- How to optimise your data to save costs and conserve power
- The value of MQTT in improving data transfer efficiency
- The benefits, and challenges, associated with moving to message-based data transfer
Using the most recently available satellite airtime services, they demonstrate how to build a highly efficient connectivity infrastructure, while limiting the amount of custom development required. They conclude with recommendations based on a series of simple questions that will help anyone with a remote data transfer challenge to determine the best way forward.
Register now to watch and earn.
Speakers:
Alastair MacLeod, CEO at Ground Control
Ric Searle, Group CTO at Ground ControlCan 3GPP Standards Progress the Adoption of Satellite IoT?
RunTime: 19 minutes
Learn why satellite IoT communications has historically come with a premium price due to the high costs associated with building, launching, and maintaining satellite networks. However, lower launch costs have contributed to a gradual reduction in these expenses, which in turn has attracted numerous new entrants in the satellite IoT market. But despite over 70 companies planning to launch satellites for IoT/M2M, many have been cancelled or face challenges in maintaining momentum.
During this webinar, we explore the complex and evolving barriers to low cost, high capacity satellite IoT, and the role that standards-based devices are likely to play in helping to overcome these challenges.
In this webinar, you will learn:
- Why spectrum allocation presents such a challenge for new entrants
- If lower prices means more subscribers are needed for business cases to stack up: is this practical?
- Why 3GPP standards-based devices should make costs more predictable
- What needs to be true for low cost, high capability satellite IoT to be realized.
Watch this on-demand webinar now to gain a confident understanding in these areas of satellite IoT.
Speakers:
Alastair MacLeod, CEO at Ground Control
Oliver Potter, COO at Ground ControlBetter Outcomes with Remote Patient Monitoring
RunTime: 21 minutes
Discover how the medical Internet of Things empowers healthcare providers with real-time data for improved decision-making.
Watch this on-demand webinar and you will learn:
• The benefits of remote patient monitoring for patients and providers
• The best technologies for remote patient monitoring solution
• How to select the right communication module and connectivity provider for your smart healthcare monitoring solution
Register today to learn about the latest advancements in connected healthcare.
Speaker: Carsten Brockmann, Vertical Segment Manager at Telit CinterionChallenges and Opportunities in the Age of EVs
RunTime: 27 minutes
Understand how the Internet of Things enables fleet management solutions for electric vehicles (EVs).
Watch this on-demand webinar and learn:
• How to overcome fleet telematics challenges for EVs
• What technologies to choose for your EV fleet management solution
• What opportunities fleet telematics offer for EVs and how to take advantage of them
Register today to learn what you need to know about the latest in fleet telematics for EVs.
Speaker: Jitender Vohra, Senior Director Carrier Relations at Telit CinterionData Curation and Feature Scaling
Run Time: 19 Minutes
In this IoT Central MicroSession with Edge Impulse, learn how to perform feature normalization and standardization prior to uploading data to Edge Impulse. This process involves calculating the mean and standard deviation of each channel and standardizing the data along a single axis to have a mean of 0 and a standard deviation of 1. The means and standard deviations will need to be recorded for inference during deployment. We use Google Colab to perform this analysis and transformation prior to uploading the data to Edge Impulse.
Instructor: Shawn Hymel Senior Developer Relations Engineer, Edge Impulse
Optional Hardware: None
Preparation: Free sign-up at https://studio.edgeimpulse.com/signupData Collection with a Custom Sensor
Run Time: 25 minutes
In this IoT Central MicroSession with Edge Impulse, learn how to collect data from custom sensors and store the readings in CSV files for analysis and uploading to Edge Impulse. For seamless efficiency, the Edge Impulse Data Forwarder tool can be used to automatically send data to the Edge Impulse Studio using an internet connection with your embedded system tethered to your computer via USB. By storing data to CSV files, you can then collect samples in the field without an internet connection.
Instructor: Shawn Hymel, Senior Developer Relations Engineer, Edge Impulse
Required Hardware: Arduino Nano 33 BLE Sense
Preparation: Free sign-up at https://studio.edgeimpulse.com/signupCreate Real-Time Object Detection on Low-Power Microcontrollers
Run Time: 19 Minutes
In this IoT Central MicroSession with Edge Impulse, learn how to create a real-time object detection system (FOMO) using low-power microcontrollers. You will learn how to collect a high quality object detection dataset to train and deploy a FOMO model to a microcontroller like the Himax WE-I Plus.
Instructor: Jenny Plunkett, Senior Developer Relations Engineer, Edge Impulse
Preparation: Free sign-up at https://studio.edgeimpulse.com/signupClassify Non-Human Voice Audio for Automation and Embedded Machine Learning
Run Time: 23 Minutes
In this IoT Central MicroSession, learn how to create a non-human voice audio classification system to identify when a faucet is leaking. This demo can also be adapted for industrial use cases, such as identifying machine failures with grinding sounds, or even for wildlife conservation purposes, to recognize the vocalizations of various endangered species in the wild.
Instructor: Jenny Plunkett, Senior Developer Relations Engineer, Edge Impulse
Optional Hardware: Mobile Phone
Preparation: Free sign-up at https://studio.edgeimpulse.com/signupAuto ML with EON Tuner
Run Time: 18 Minutes
In this IoT Central MicroSession with Edge Impulse, learn how to speed-up your machine learning pipeline design using the EON Tuner, Edge Impulse's tool for AutoML and much more. The EON Tuner analyzes your input data, potential signal processing blocks, and neural network architectures, providing an overview of possible model architectures that will fit your chosen device's latency and memory requirements. Louis will walk you through this process and show how to leverage the tool in just 18 minutes.
Instructor: Louis Moreau, Senior Developer Relations Engineer, Edge Impulse
Required Hardware: none
Preparation: Free sign-up at https://studio.edgeimpulse.com/signupAdvanced Sensor Anomaly Detection
In this IoT Central MicroSession with Edge Impulse, learn how you can easily create a machine learning classifier to detect anomalous sensor readings using only nominal training data for embedded machine learning models directly in the Edge Impulse Studio.
Instructor: Jenny Plunkett, Senior Developer Relations Engineer, Edge Impulse
Optional Hardware: mobile phone or a microcontroller with accelerometer sensor
Preparation: Free sign-up at https://studio.edgeimpulse.com/signupIoT Connectivity and Multi-Carrier Management Platform
Many enterprises struggle to effectively deploy and then manage their active cellular devices in multiple regions around the world. This problem occurs due to differences between carrier SIM management platforms, a lack of comprehensive reporting and dissimilar workflows for activating and deactivating service within each carrier platform.
In this first of a three-part IoT Central webinar series, you will learn about solutions that simplify cellular IoT & Fixed Wireless deployments. You will see how they improve operational efficiencies through standardized and automated data usage reporting and SIM workflows across multiple wireless carriers.
In this webinar, you will learn about:
• Solutions for normalizing workflows across carriers
• Optimized SIM and carrier options for companies deploying products across NA and globally
• Uniform reporting for a variety of KPIs across the leading global carriers
• A means of automating cellular billing management when working through dealer or distribution channels
Register for this IoT Central webinar now to learn about these valuable tools.
Guests:
Jim Greco, CRO at Zipit Wireless
Ralph Heredia, VP Business Development at Zipit WirelessUsing Image Data Augmentation to Train a Better ML Model
Learn the process of performing data augmentation on an image dataset, which includes flipping, translating, zooming, rotating, and adding noise.
Learn How to Integrate an Object Detection Model in a Custom Application
Learn how to integrate object detection models with the Linux Python SDK to build fully-customizable applications.
Data Collection with a Custom Sensor
Collect data from custom sensors and store the readings in CSV files for analysis and uploading to Edge Impulse.
Advanced Sensor Anomaly Detection
How to easily create a machine learning classifier to detect anomalous sensor readings using only nominal training data for embedded machine learning models directly in the Edge Impulse Studio.
Data Curation and Feature Scaling
Learn how to perform feature normalization and standardization prior to uploading data to Edge Impulse. This process involves calculating the mean and standard deviation of each channel and standardizing the data along a single axis to have a mean of 0 and a standard deviation of 1. The means and standard deviations will need to be recorded for inference during deployment. We use Google Colab to perform this analysis and transformation prior to uploading the data to Edge Impulse.
Instructor: Shawn Hymel Senior Developer Relations Engineer, Edge Impulse
Optional Hardware: None
Preparation: Free sign-up at https://studio.edgeimpulse.com/signupInference with Custom Sensors
Learn how to create a keyword spotting system to recognize spoken words. Follow along or use an Arduino board (details below) and classify words using Edge Impulse.
Auto ML with EON Tuner
Learn how to speed-up your machine learning pipeline design using the EON Tuner, Edge Impulse's tool for AutoML and much more.
Automate your ML Pipeline
In this IoT Central MicroSession with Edge Impulse, learn how to create complete automated data pipelines so you can work on your active learning strategies.
How to Build Continuous Audio Classification Applications
Run Time: 16 Minutes
In this IoT Central MicroSession with Edge Impulse, quickly learn how to build continuous audio classification applications using Edge Impulse. First see a walkthrough of the theoretical understanding of the continuous classification methods before diving into the demo. Then follow a demo of the data collection and exploration, impulse design, and finally perform live inference on an Arduino Nano 33 BLE Sense, smartphone or anyone one of the boards listed below.
Instructor: Clinton Odour, Senior Developer Relations Engineer, Edge Impulse
Optional Hardware: Any smartphone and most boards with a microphone or an accelerometer. Examples include: ST B-L475E-IOT01A, Arduino Nano 33 BLE Sense, ESP32 FireBeetle with LIS3DHTR accelerometer, Himax WE-I Plus, Nordic Semiconductor nRF52840 DK, nRF5340 DK or nRF9160 DK, Silicon Labs Thunderboard Sense 2, Sony's Spresense, TI CC1352P LaunchPad, Raspberry Pi 4, Nvidia Jetson and more.
Preparation: Free sign-up at https://studio.edgeimpulse.com/signupHow to Classify Motions Using Embedded ML & Accelerometers
Run Time: 15 Minutes
In this IoT Central On-Demand MicroSession, learn how to classify three-axis motion signatures with machine learning using Edge Impulse. You will navigate through the full MLOps pipeline from the data collection to the live inferencing passing by the digital signal processing features extraction and the neural network training.
Instructor: Louis Moreau, Senior DevRel Engineer, Edge Impulse
Optional Hardware: Sensor or smartphone with 3-axis accelerometer
Preparation: Free sign-up at https://studio.edgeimpulse.com/signupHow to Create a Keyword Spotting System in 20 minutes
Run Time: 27 Minutes
In this IoT Central MicroSession, learn how to create a keyword spotting system to recognize spoken words. Follow along or use an Arduino board (details below) and classify words using Edge Impulse.
Instructor: Shawn Hymel, Senior DevRel Engineer, Edge Impulse
Optional Hardware: Arduino Nano 33 BLE Sense
Preperation: Free sign-up at https://studio.edgeimpulse.com/signupInference with Custom Sensors
Run Time: 20 Minutes
In this IoT Central MicroSession, learn how to create a keyword spotting system to recognize spoken words. Follow along or use an Arduino board (details below) and classify words using Edge Impulse.
Instructor: Shawn Hymel, Senior DevRel Engineer, Edge Impulse
Optional Hardware: Arduino Nano 33 BLE Sense
Preparation: Free sign-up at https://studio.edgeimpulse.com/signupIoT Central & Arm Present The IoT Roundtable: Advancing IoT from Cloud to Edge
IoT Central, and hosting sponsor Arm, continue the successful Roundtable Series with a focus on the latest developments in edge to cloud computing and how it is advancing IoT.
Host Robert Wolff, from the Arm Developer Relations team, will kick things off with an overview of the growing user demand for edge computing and why a cloud-only world will no longer be sufficient.
Additionally, Robert will facilitate more detailed presentations from special guest panelists representing industry leading companies with hardware and software solutions advancing the diverse and quickly evolving solutions in this space.
Join us and learn how you can save time and money with advanced technologies addressing edge/cloud architectures, data processing proximity, security, connectivity, costs, scale and more.
Panelists:
Angel Rivera, Senior Developer Advocate at CircleCI
Steve Sponseller, Senior Director, Business Development & Americas Channel for Kepware at PTC
Brian Tol, VP of Engineering at SpinDanceIoT Central & Arm Present The IoT Dev Board Roundtable: Industrial IoT
IoT Central, and hosting sponsor Arm, continue the successful Dev Board Roundtable series –this time with a focus on the Industrial IoT.
Hosts, Robert Wolff and Alessandro Grande, from the Arm Developer Relations team, will kick things off with an overview of product development trends in the Industrial IoT space and how “one-size fits all” does not exist when selecting hardware.
Additionally, Robert and Alessandro will facilitate more detailed presentations from special guest panelists representing industry leading companies with hardware and software building blocks, dev board solutions, and kits for Industrial IoT developers.
Join us and learn how you can save time and money in the early stages of development!IoT Central & Arm Present The IoT Dev Board Roundtable
IoT Central, and hosting sponsor Arm, will present a virtual roundtable with IoT industry leaders discussing how to find the best dev boards available to bring IoT projects to life.
Hosts, Robert Wolff and Alessandro Grande, from the Arm Developer Relations team will kick things off with an industry overview, a few of their favorite boards, and suggestions on how to navigate the dev board chaos and find the board that hits your project "sweet spot".
Additionally, Robert and Alessandro will facilitate more detailed presentations from four special guests representing industry leading companies with dev board solutions or kits for IoT developers.
Hosts:
Alessandro Grande - Ecosystem Manager, Automotive & IoT, Arm
Robert Wolff - Manager, Ecosystem Developer Evangelist, Arm
Panelists:
Sahaj Sarup - Application Engineer, 96 Boards
Dario Pennisi - Hardware Development Manager, Arduino
Rick Bye - Sr. IoT Solutions Marketing Manager, NXP
Rajan Mistry - Sr. Engineer, QualcommLearn How to Integrate an Object Detection Model in a Custom Application
Run Time: 12 Minutes
In this IoT Central MicroSession with Edge Impulse, learn how to integrate object detection models with the Linux Python SDK to build fully-customizable applications. In this example, you will see how an object detection model running locally can output a live video stream with the bounding boxes in a web application.
Instructor: Louis Moreau, Senior Developer Relations Engineer, Edge Impulse
Optional Hardware: Linux x86 or MacOS
Preparation: Free sign-up at https://studio.edgeimpulse.com/signupLearn to Build Object Detection Using Transfer Learning
Run Time: 15 Minutes
In this IoT Central MicroSession with Edge Impulse, quickly learn how to build an object detection model using Transfer Learning. You will also learn how to run the live inference using Edge Impulse Linux CLI or MacOS-based hardware. This is the first ion a two part series (coming soon).
Instructor: Louis Moreau, Senior Developer Relations Engineer, Edge Impulse
Optional Hardware: Linux-based or MacOS-based hardware
Preparation: Free sign-up at https://studio.edgeimpulse.com/signupWebinar Series: Fast and Fearless - The Future of IoT Software Development - Part 3 of 4: Making the Most of IoT Connectivity
Webinar Series: Fast and Fearless - The Future of IoT Software Development
Part Three of Four: Making the Most of IoT Connectivity
The IoT is transforming the software landscape. What was a relatively straightforward embedded software stack, has been revolutionized due to the IoT where developers juggle specialized workloads, security, machine learning, real-time connectivity, managing devices in the field - the list goes on.
How can our industry help developers prototype ‘fearlessly’ because the tools and platforms allow them to navigate varying IoT components? How can developers move to production quickly, capitalizing on innovation opportunities in emerging IoT markets?
This webinar will help you to choose the appropriate connectivity protocol for your IoT application. The presenters will deliver an overview of Wi-Fi, NB-IoT, Bluetooth and LoRaWAN and their benefits, provide examples and application ideas, as well as useful resources for developers of all skill levels - whether you're just getting started or you've been working in the IoT for some years. There will also be an opportunity for Q&A.
This webinar is part of a series taking you through the fundamental steps, tools and opportunities for simplifying IoT development.
Speakers:
Omer Cheema, Head of Wi-Fi Business Unit at Renesas Semiconductor
Wienke Giezeman, Co-Founder and CEO at The Things Industries
Samuele Falconer, Principal Product Manager at u-blox
Thomas Cuyckens, System Architect at QorvoUsing Image Data Augmentation to Train a Better ML Model
Run Time: 18 Minutes
In this IoT Central MicroSession with Edge Impulse, learn the process of performing data augmentation on an image dataset, which includes flipping, translating, zooming, rotating, and adding noise. This process generates modified copies of the original data. See how to train a convolutional neural network (CNN) on Edge Impulse with the augmented dataset and demonstrate how it is more accurate than a model trained on the original data.
Instructor: Shawn Hymel, Senior Developer Relations Engineer, Edge Impulse
Required Hardware: None
Preparation:
Free sign-up at https://studio.edgeimpulse.com/signup
Code and dataset: https://github.com/ShawnHymel/computer-vision-with-embedded-machine-learning
Additional Resources:
A non-augmented version of the project used in the video: studio.edgeimpulse.com/public/36514/latest
An example of the project with augmented data: studio.edgeimpulse.com/public/36800/latestUsing Machine Learning for Sensor Fusion
Run Time: 22 Minutes
In this IoT Central MicroSession, learn about use cases for sensor fusion and how it can be accomplished using neural networks. You will walk through how a machine learning model performing sensor fusion can be trained in Edge Impulse and tested on a microcontroller.
Instructor: Shawn Hymel, Senior Developer Relations Engineer, Edge Impulse
Optional Hardware: Arduino Nano 33 BLE Sense
Preparation: Free sign-up at https://studio.edgeimpulse.com/signupWebinar Series: Fast and Fearless - The Future of IoT Software Development - Part 2 of 4: AI and IoT Innovation
Webinar Series: Fast and Fearless - The Future of IoT Software Development
Part Two of Four: AI and IoT Innovation
The IoT is transforming the software landscape. What was a relatively straightforward embedded software stack, has been revolutionized due to the IoT where developers juggle specialized workloads, security, machine learning, real-time connectivity, managing devices in the field - the list goes on.
How can our industry help developers prototype ‘fearlessly’ because the tools and platforms allow them to navigate varying IoT components? How can developers move to production quickly, capitalizing on innovation opportunities in emerging IoT markets?
This webinar series will take you through the fundamental steps, tools and opportunities for simplifying IoT development. Each webinar will be a panel discussion with industry experts who will share their experience and development tips on a specific topic. This session will cover AI and IoT Innovation and will include:
- How to juggle the additional complexities that machine learning adds to IoT development
- Why on-device machine learning is more important now than ever
- What does the combination of AI and IoT look like for developers in the future?
Speakers:
Karl Fezer, AI Ecosystem Evangelist at Arm
Wei Xiao, Principal Engineer, Sr. Strategic Alliances Manager at Nvidia
Nikhil Bhaskaran, Founder of Shunya OS
Tina Shyuan, Director of Product Marketing at QeexoWebinar Series: Fast and Fearless - The IoT Software Developer Experience
Webinar Series: Fast and Fearless - The Future of IoT Software Development
Part One of Four: The IoT Software Developer Experience
The IoT is transforming the software landscape. What was a relatively straightforward embedded software stack, has been revolutionized due to the IoT where developers juggle specialized workloads, security, machine learning, real-time connectivity, managing devices in the field - the list goes on.
How can our industry help developers prototype ‘fearlessly’ because the tools and platforms allow them to navigate varying IoT components? How can developers move to production quickly, capitalizing on innovation opportunities in emerging IoT markets?
This webinar series will take you through the fundamental steps, tools and opportunities for simplifying IoT development. Each webinar will be a panel discussion with industry experts who will share their experience and development tips on the below topics.
In this latest IoT Central webinar, you will learn:
• Development challenges engineers are facing today
• How the industry is helping to make IoT development easier
• Overview of development processes, including cloud-based continuous integration (CI) workflows and low-code development
• What the future looks like for developers building for the IoT
Speakers:
Joe Alderson, Director of Embedded Tools and User Experience at Arm
Ihor Dvoretskyi, Developer Advocate at Cloud Native Computing Foundation
Pamela Cortez, IoT Developer Advocate and Sr. Program Manager at Microsoft Azure IoT
Katherine Scott, Developer Advocate at Open Robotics