Indian trio bags grand prize at IoT contest – The Hindu


August 29, 2016 Facebook Twitter LinkedIn Google+ Uncategorized


Kalaburagi-based software innovator and research scholar Rupam Das, his wife Moumita Das, an engineering student in a local college, and Kolkata-based engineer Abhishek Nandy have bagged the prestigious IoT (Internet of Things) article contest organised by Codeproject.com.

The Codeproject group had organised the challenge from June 16 to August 10 in various categories — for hackers, innovators and developers. They had to write a tutorial on their IoT project in categories such as industry, health, transport, Intel IoT elements, home, DIY platform, and editor’s choice. Each category had on offer two prizes ($500 and $250) and there was an overall grand prize of $1,250 for the best of the best article.

The trio from India, all Intel software innovators, came together to win six of the seven categories, barring home automation, and also took home the grand prize. Their overall prize money was $ 4,750.

Mr. Rupam Das won the grand prize in the contest for his entry ‘biometric locker’, an Intel Edison-based IoT-secured locker with cloud-based voice and face biometric. In the tutorial, the entire process of IoT product development, from unboxing to prototyping, was covered in detail. The tutorial helps the beginner to learn Intel Edison and Intel XDK IoT edition and create a cloud-based biometric solution.

In the industrial IoT category, the team developed a machine that could predict remaining useful life using upcoming GE Predix industrial IoT platform and machine tool vibration monitoring. In the health category, Rupam and Moumita Das came first for a foot gesture-based text entry system, an assisting technology that helps patients with upper body disabilities to type using their feet.

In the transport category, Mr. Nandy and Mr. Das won the first and second prize for their ‘Co2-based traffic light control’ and ‘CoolHead-An Intel Edison-based smart helmet with climate control, accident notification and auto-indication’, respectively.

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