Anyvision Interactive Technologies Ltd.

Idan Barak

Ishay Sivan

Ohad Shaubi

Neil Martin Robertson

Sankha Subhra Mukherjee

Rolf Hugh Baxter

Ailon Etshtein

Alexander Zilberman

Presented herein are systems, methods and apparatuses for increasing reliability of face recognition in analysis of images captured by drone mounted imaging sensors, comprising: recognizing a target person in one or more iterations, each iteration comprising: identifying one or more positioning properties of the target person based on analysis of image(s) captured by imaging sensor(s) mounted on a drone operated to approach the target person, instructing the drone to adjust its position to an optimal facial image capturing position selected based on the positioning property(s), receiving facial image(s) of the target person captured by the imaging sensor(s), receiving a face classification associated with a probability score from machine learning model(s) trained to recognize the target person, and initiating another iteration in case the probability score does not exceed a certain threshold. Finally, the face classification may be outputted for use by one or more face recognition based systems.

Adaptive positioning of drones for enhanced face recognition

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Kfar Aviv, Israel

Idan Barak