Wobot Intelligence Chief Product Officer (CPO) Tanay Dixit talks with The Sociable about privacy in the age of mass surveillance from the Seedstars Summit in Switzerland.
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Wobot Intelligence helps businesses make sense of CCTV data by implementing a layer of Artificial Intelligence which makes the system capable of doing surveillance on behalf of the human eye.
The Indian startup uses AI in surveillance footage for:
- Activity Recognition, which is used to deduce human actions in present state, based upon complete action executions, and action prediction to predict human actions in future state based upon incomplete action executions.
- Facial Recognition, which is a category of biometric software that maps an individual’s facial features mathematically and stores the data as a faceprint. The software uses deep learning algorithms to compare a live capture or digital image to the stored faceprint in order to verify an individual’s identity.
- Object Detection, which is used to notice or discover the presence of real-world objects within an image or video frame and to be able to tell an object apart from the static background.
- Posture Detection, which is done by determining three dimensional orientations by tracking the movement and orientation of a body with respect to a custom axes. Its use cases include real-time posture detection (talking on the phone, aggressive behavior, etc.), kinect and 3D camera based body posture detection.
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Wobot’s Deep Learning algorithms can detect any deviations in standard operating procedures (SOPs) and automatically list them and make them track able for all relevant stakeholders in the organisation.
