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Russian Startup Develops Detection Technology for Face, Bodies and Vehicles

Russian start-up NTechLab has released FindFace Multi, a detection technology that uses an advanced algorithm to recognize not only faces, but also bodies of people and cars.

Russian start-up NTechLab has released FindFace Multi, a detection technology that uses an advanced algorithm to recognize not only faces, but also bodies of people and cars. This is an update to the company’s flagship product and is able to support numerous video streams and facial database entries.

Body recognition allows FindFace Multi users to count and search people moving through an environment as well as identifying individuals and tracking movements. The algorithm also takes into account markers such as height, color of clothes and accessories. 

The vehicle recognition function determines the body type, color, manufacturer, and model of a car, as well as searching by license plate. Even if license plates, or parts of the vehicle are not visible or obscured, the system can still identify a car.

Using a criteria-based facial search, a user can detect and track ‘persons of interest’, even if faces are partially covered.

NTechLab’s algorithm took first place in a global competition after it increased, by a factor of ten, the ability to accurately identify faces that are masked, as well as doubling benchmark accuracy rates of individuals who weren’t wearing masks. 

The company’s facial recognition system has recently been provided to Indian Railways to track millions of daily commuters.

Read more at NTechLab

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