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T-Hub – India’s fastest growing startup engine catalyzing Innovation, Scale, and Deal flow – in partnership with United Technologies Corporation (UTC) is inviting startups that are working on video analytics solutions to apply for the Smart City/Smart Building NanoAccelerator® program. This initiative will enable the Climate Controls and Security and Otis divisions of UTC to work closely with the shortlisted startups, which are differentiable, scalable, software and/or which runs on low cost general purpose hardware and which provides seamless actionable intelligence data with minimal human intervention.

Through this program, we seek to enhance UTC’s integrated platform with reliable and efficient video analytics software and embedded intelligence, through open innovation frameworks.


A seamless video solution would include video intelligence at the camera (edge), video intelligence shared by a “local mesh” of cameras to construct a local real time event unfolding, and intelligence from local events further processed to construct a situation with greater detail and reliability, with minimal human intervention.

The analytics requirements for residential, commercial & enterprise video solutions would vary. The solutions are currently sought in the area of commercial and enterprise market segments.

In a commercial set up, like banking, shops, malls, with typically 4-100 cameras, solutions are sought with edge video intelligence to identify abnormal or suspicious activity. In an enterprise set-up, like airports, with 100 to 1000’s of cameras, solutions are sought to identify the intent, context at the edge, and solutions are sought to track in real time any unexpected event to raise alerts or awareness to security personnel

In many situations, the solutions that minimize specialized configurations and which eliminate privacy concerns will be preferred. Solutions that integrate with other ubiquitous information (like social media) to improve the accuracy and reliability of the data or to extend the capabilities of the system, will be preferred.

The challenge therefore is to have analytics that have several of the below features:

And these are pulled together as needed, to find “a lost child wearing a blue jacket in mall” or detecting “suspicious or abnormal activity at an airport” in real time.


What’s in it for Startups?

To apply, please click here.

DEADLINE: August 20, 2017