Pedestrian Safety Behavior Sensor (PSBS)

About This Exhibit

The Pedestrian Safety Behavior Sensor (PSBS) is an intelligent, edge-computing platform designed to enhance pedestrian safety in urban environments through real-time monitoring and predictive analytics. Integrating multimodal sensors including an RGB camera, proximity sensors, motion detectors, and environmental modules the system captures pedestrian movement, vehicle distance, and surrounding conditions. Using embedded computer vision and machine learning algorithms, PSBS performs pedestrian detection, multi-object tracking, and behavior classification, identifying patterns such as safe crossing, risky entry, and congestion. A predictive risk engine analyzes spatial, temporal, and environmental parameters to generate dynamic risk scores based on proximity, time-to-collision, and visibility. High-risk scenarios are identified proactively, enabling immediate safety interventions through LED alerts, audible warnings, and wireless notifications with minimal latency. By shifting from reactive observation to predictive intelligence, PSBS offers a scalable and effective solution for smart city applications, supporting safer, data-driven pedestrian–vehicle interaction management.