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The Internet of Things is now widely used in a wide array of business verticals like manufacturing, healthcare, logistics, and more. According to the latest research data, the number of IoT connected devices, which made up ~4,9 million things in 2015, reached the point of ~3,9 billion in 2016.

Concerning AR, Statista predicts at least three various scenarios of AR/VR growth, but they all forecast the economic impact amounting ~$29,5 billion in 2020. Having reached the decision of developing your own IoT or AR software, you need to get heads up about the pitfalls of starting this new business solution development.

Major AR and IoT solutions’ programming challenges.

Challenges may be divided into several categories: high-level business obstacles and application development problems along with the solution’s further maintenance and enhancement. The first group may include the following issues:

  • Unclear business benefits;
  • Insufficient funding;
  • A poor go-to-market strategy, and more;

While it’s quite clear how to avoid business-level problems, it’s also worth taking into account the challenges which arise during the software development process itself. The average IoT obstacles may include:

  • Infrastructure problems (devices, gateways, platforms);
  • Security concern;
  • Cross-platform compatibility;
  • Lack of support, and more.

AR development challenges encompass:

  • AR hardware;
  • Generated content;
  • Security issues, and more;

With reference to the latest Cisco’s survey, only 26% of IoT projects considered as successful by their developers, whereas more than 50% reach the jumping-off place at the strategy crafting stage. One of the key AR challenges is to correlate virtual data with the real environment, which can bring even a leading vendor to a screwjob. For this very reason, it’s critically important to have an idea of technology development nuances.

Nevertheless, the latest statistics on the number of the internet connected devices and the AR technology in various spheres shows that a business owner is a targeted consumer for the outputs. This gives extra room for the IoT and AR initiatives:

Statistics reveals the amount of investment made worldwide in IoT by sectors during 2015-2020.


Statistics shows AR technology’s market share by business spheres.

2 notable IoT/AR use cases

In the context of solving the task, below are the two living examples of successful solutions to take into account while initiating your own development project.

E.g.: IoT mobile app for smart buildings and yachts management:

The idea was to develop a highly customizable system allowing to manage numerous connected devices in smart buildings/yachts.

Challenge:

A necessity to run a proprietary protocol in remoteness from real devices.

Solution:

Multiple devices installed within a building/yacht were united into a single smart system. A proprietary text protocol which provided smooth communication between the user interface and the backend was applied for infrastructure visualization configuration, gateways, and IR-gateways communication. This permitted cutting down on customizing the part of UI for each client.

The developed IoT application allowed for managing a chain of devices, including surveillance cameras (change the angles, zoom in/out), lighting, media systems, smart locks, and more via an Android-based mobile app. This led to essential energy and budget economy. The product is now being enhanced by integrating more smart devices into the system. A similar solution may be implemented in any smart home, hotel, or yacht to introduce automation and analysis to the existing infrastructure.

E.g.: Equipment maintenance and service mobile app with augmented reality

The idea was to develop a mobile app compatible with numerous platforms, which would give a possibility to maintain complex industrial equipment single-handedly.

Challenge:

A necessity to ensure image recognition with absolute accuracy.

Solution:

To create a repair or service guide, a user takes a photo of the equipment as a first step. Then the image is processed by Metaio SDK, which is a basis for its further recognition by the app. The built-in image recognition helps to save on painstaking programming and therefore additional investments on the part of the user.

Afterward, each of the required equipment part scenes is supplied with a step-by-step guide by means of animated, drag-and-drop 3D objects, such as a nut, a screwdriver, etc. The system allows to include text information, as well as images and videos in the instructions. Finally, the app’s user gets the complete instructions by simply pointing the device’s camera at the equipment that needs repair. A similar solution may be applicable to any industrial enterprise, healthcare organization, or any other vertical which requires urgent fixes and updates.

The bottom line

Any AR and IoT application development challenges may be addressed with a well-thought-out plan for development, implementation, and further maintenance and enhancement. The quantity of IoT and AR applications is skyrocketing and the above examples are a living proof of the system’s effectiveness in different business spheres.

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