Low Power Computer Vision

Low-Power
Computer-Vision
Counting Research

4 NYU CUSP grad students piloted a machine learning model in NYC that counts pedestrians on Low-Powered Devices.

Abdulaziz Alaql
Alec Bardey
Turbold Baatarchuluu
Branden DuPont

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LPCV Pilot Locations

At three locations in NYC, we validated our pedestrian tracking model on 7 randomly selected 15-min DOT pedestrian videos. We acheived an accuracy of 87 - 93%. Click to view a pilot dashboard.