Looking into the recent past, IoT has evolved from a concept of connecting ordinary electronic devices to the internet to blockchain and Artificial intelligence (AI) based smarter systems. There are more open source platforms which were there about five years ago. Many things have changed along this path but we still have our doubts. This article is written based on the insights given by Karthikeyan Prakash, Project Engineer – IoT, Techolution.
IoT devices are different for a reason
IoT devices are not just confined to using Arduino and Raspberry for implementation. Furthermore, product development with IoT is rather a core engineering concept where real-world problems must be identified and solutions that help us make better decisions are devices. Arduino and Raspberry integration into your IoT project/ product doesn’t suffice.
With business opportunities are concerned, everyone in the market wants to deploy their products in order to tap into this billion-dollar market overlooking security and standardization aspects.
Getting dumb machines to talk
With industrial IoT exploring its vast capabilities, engineers across the globe are busy linking their machine to talk back to us like never before. This way they are solving real-life pain points in order to create smart factories of the future. “Now using IOT and some proven standardization protocols, dumb devices are the converted to intelligent. Moving forward in this segment are smart cities and home automation etc. which never had any accountability for natural resource usage. With smart homes inside cities it is now possible to monitor water usage thus helping us use this valuable resource judiciously”, says Karthikeyan Prakash.
Keeping a close eye
Feedback mechanisms are the keeping a close eye on the machines. The IoT ecosystem has three major components, the sensor, the gateway and the cloud analytics. In the field, endpoint devices are connected to this centralized system of servers. Reliable feedback information picked up by the sensors such as temperature, humidity etc. go to this centralized system, which enables the IoT ecosystem to update the human with the most relevant decision that they are supposed to take. In future, we are yet to see how machines and IoT systems can intelligently figure it out while we humans can invest our time in scaling up.
To quote an example, let’s take ourselves to a traditional electricity supply grid. There are transformers, wires, relay cables and a lot of types of heavy duty electrical machinery involve in supplying power to the nearby town. Now let’s apply IoT and connect the transformer to the ecosystem. The technical who had to manually check the status of the transformer can now see the health transformer sitting in the office. Services such as timely maintenance, replacements of transformer oil, surge in the grid network can all be monitored. The truly intelligent part is the integration of decision-making methodology using machine learning and AI which will aid us in future. This way practical challenges of getting the right information, connectivity and challenges to unreachable or harsh places are solved.
The pace of development
The pace of development that IoT has taken was not easy. The companies and engineers working in this domain do face a lot of regulation problems apart from funding and other practical problems. A word of caution that is creating friction for It is the much talked about “replacement” of humans by smart machines with unmatched efficiency and low error rates. The question is about accountability in this rapid development phase which requires us to think if this technology is really adaptable, if so how far should we assign control them so that they do not control us.
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To know more, attend Karthikeyan Prakash’s talk on “PRODUCT DESIGN STRATEGIES FOR CONNECTED CARS USING OPENSOURCE“ at EFY Conferences 2018