Published on Apr 18, 2017
Updated on Oct 16, 2019
In my last article, I have talked about the challenges and oppurtunities of IOT industry. Now let’s talk about building an IOT product and benefits of it in the market.
How about building an IOT device?
Now let me also talk a bit about the process of building an IOT product. If you are thinking of building an air purifier, or a thermostat, or some smart lighting solutions for home, you are very likely to hit the first stumbling block as to how to go about the whole process. How to get a 3D design for the device, where to go for a prototype design, and how to get the electronics (the PCB part) done, and how to make the device talk and interact with various other devices like your mobile phone, etc.
What you need is professional expertise in not one particular field, but many diverse fields. If you are a software engineer with some experience with coding, you will know writing software is not that difficult as all you need is a computer, and you could create wonders just sitting in home or office. Building a real, physical thing can be really tough & challenging. Not only it requires varied set of skill set, but also can cost much more to prototype, and test it out.
Steps to follow before going ahead
For the benefit of newbies to the field, I have listed down the steps generally followed in any IOT product development process.
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Market Research
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Conceptualization/Ideation
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Design
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Prototype (Schematic Design, Layout)
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PCB Manufacturing
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Procuring components & assembly of electronic circuitry
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3D printing of casing & outer facade of the product
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Field Trials
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Redesign & trials if needed
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Marketing & Mass manufacturing
Loads of data is generated, but what to do with it?
Due to the large number of IOT devices around, it is quite as well expected that they will generate a huge volume of data. Question is how to make best use of the data captured, or how to make your device react to events triggered by actions of other users, or may be from the device owner himself through a mobile application.
Standards like the MQTT, AMQP, etc are the general protocols used for an IOT device or the cloud to communicate with each other. Both of them work on basic principle of publish/subscribe. The two parties subscribe to events, and whenever there is an update, or an occurrence of the event, the subscribing parties are notified.
Providers like Microsoft Azure, ABM, and AWS have all come up with their IOT platforms making it easy to monitor and control remote devices from click of a button. Being on the cloud, it gives IOT the ability to scale. The data being captured in the cloud can be analysed, and trends studied using Machine Learning algorithms and Artificial Intelligence.
Today it is possible to auto update the firmware of an IOT device without requiring any intervention from the customer.
How IOT will drive benefits for users?
Data generated from IOT devices are being continuously analysed and machine learning models are built to help in predictive analytics. Earlier emphasis was on preventive maintenance in industries, and anywhere else where machines were deployed. We used to ensure regular and timely checkups to ensure our machines are always in healthy state. But now with advancements in technology, based on the data captured, our machine learning prediction models can warn us in advance of a possible impending breakdown. A corrective action can be immediately triggered, and the machine is restored to good health much before breakdown.
Today IOT driven processes paves the way for improvements in existing processes leading to higher customer satisfaction & safety leading to better profits for businesses. Customers delight and an increasing affiliation are invaluable assets to any business, and when IOT is able to help the business achieve that, its relevance will never be in doubt. No wonder Gartner Research predicts there will be more than 20 billion IOT devices by the year 2020.
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