Physics-Aware AI Surveillance System

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 visualization/dashboard showing detected objects, trajectories, and alerts. Expected Technical Skills : Python, PyTorch, Deep learning, Physical AI Preferred Candidate Candidates with a background in Computer Vision, Physics-Informed Machine Learning, Video Analytics, AI/ML research, or Intelligent Surveillance Systems will be preferred. Please include relevant previous projects/GitHub/demo links and briefly explain your experience with physics-aware AI or video analytics. For background on our company (KAAI-VISIONS), feel free to browse the current projects here: https://sites.google.com/view/kaai-vision917/home. If you’d like updates on future consultancy openings, US based projects or part-time roles, subscribe to our channel: https://youtube.com/@kaai-visions?si=xMNj_MugNtN-Su1a.