Physics-Aware AI Surveillance System

Employer not named by the sourceRemote

AI/MLFull Stack

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About this role

Python, Engineering, Matlab and Mathematica, C++ Programming, Mathematics, Computer Vision, Deep Learning, AI Model Development, AI Research, AI Automation · Physics-Aware AI for Video Surveillance

Project Overview We are looking for an experienced AI/Computer Vision developer or researcher to develop a prototype of a Physics-Aware AI-based Video Surveillance System. The objective is to build a surveillance solution that combines deep learning, computer vision, object tracking, motion analysis, and physics-based constraints to detect and predict abnormal events more accurately than conventional AI systems.

Client Requirements The system should: Detect and track people, vehicles, and other objects in CCTV/video footage. Analyze position, velocity, acceleration, direction, and trajectories.

Detect abnormal activities such as: Falls Unauthorized entry Abnormal movement Vehicle–pedestrian collision risks Unusual trajectories Crowd-related incidents Predict potential incidents before they occur, where possible. Incorporate physics/kinematic constraints to identify physically implausible or anomalous motion. Generate explainable alerts, e.g., why an event was classified as high risk. Provide confidence/risk scores for detected events. Include basic privacy-preserving mechanisms, such as face/person anonymization where required. Provide a v