Pedestrian Crosswalk Detection — automated ped presence detection

Pedestrian crossings are detected using AI-powered video cameras, FMCW radar, or 3D lidar sensors that continuously scan the crosswalk zone. These systems classify road users, track movement, and send real-time signals to traffic controllers or warning beacons, allowing dynamic signal timing adjustments and driver alerts to prevent collisions with pedestrians.

Common technologies include AI-powered video detection cameras, FMCW radar sensors, and solid-state 3D lidar. Each analyzes the crosswalk area to identify and classify pedestrians, cyclists, and vehicles, feeding data into traffic signal controllers or cloud analytics platforms for real-time safety response and reporting.

Yes. Modern radar and lidar-based sensors are designed for all-weather performance, maintaining detection accuracy in rain, snow, fog, glare, and nighttime conditions. AI video cameras also use advanced algorithms to compensate for shadows and low-light scenarios, ensuring consistent pedestrian detection year-round.

AI video detection cameras use machine learning algorithms to analyze live HD video streams, distinguishing pedestrians from vehicles and bicycles based on shape, movement patterns, and size. This classification data is sent to traffic controllers to adjust signal timing or trigger warning beacons for improved crosswalk safety.

Radar sensors use FMCW signals to detect motion and range, performing well in all weather but with lower spatial resolution. Lidar sensors generate a high-resolution 3D point cloud, offering more precise object shape and position data. Many agencies combine both technologies with AI video for redundant, highly accurate pedestrian detection.

Most detection sensors, including AI video cameras and radar units, are designed to integrate with NEMA TS2 and ATC SDLC compliant traffic cabinets and controllers. This allows agencies to upgrade detection capabilities without replacing existing signal infrastructure, minimizing installation costs and downtime.