Coronavirus cases can now be detected in crowds by a thermal camera from this Indian startup
Mar 18, 2020, 14:49 IST
- Indian startup Staqu has built a thermal camera which can detect COVID-19 positive cases even in crowded places.
- The technology can alert the system if anyone in the crowd has a body temperature of above 37°C and will also examine heat signatures directly through the camera.
- The latest technology comes under the startup’s already existing artificial intelligence enabled video analytics product JARVIS.
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As coronavirus cases rise up in India, the country’s startups are stepping up their game and doing their bit to handle the crisis. Indian startup Staqu has built a thermal camera which can detect COVID-19 positive cases even in crowded areas. The technology can alert the system if anyone in the crowd has a body temperature of above 37°C. It will also examine heat signatures directly through the camera. The camera which has a range of 100 metres can effectively work in places like airports, malls etc.
It will then send real-time alerts and will help tracking people with positive cases. As many possible suspects are absconding from hospitals and quarantines, this technology would be a Godsend for the authorities.
“Our latest technology removes human intervention in early stages of detection; through heat wave analysis and more, the technology helps in proactively taking preventive efforts to reduce the risk of the spreading the virus. We are hopeful that the government and other authorities would make the best of this advancement,” said Atul Rai, CEO and Co-founder, Staqu.
The latest technology is a part of the startup’s existing video analytics product JARVIS.
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Staqu, which was founded in 2015, turned profitable earlier this year and has been working with various state police departments of India. The startup landed its first deal with the Rajasthan police force after the Alwar lynching. After a flurry of successes, police officials started recommending Staqu to others in the force.
It has since then gone on to help solve over 1,100 cases for the police forces of Rajasthan, Punjab, Uttar Pradesh, Uttarakhand and Telangana.
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