Proxicam Pedestrian Detection & Proximity Warning System

Proxicam’s Pedestrian Detection & Proximity Warning System is engineered to protect construction, mining, warehousing, and logistics operations from struck-by accidents.

Harnessing the power of today’s AI technology, Proxicam’s object recognition algorithms and fast edge processing delivers instant alerts for pedestrian proximity and exclusion zone breaches.

The system has been developed for easy installation on any type of machine.

• AI camera-based pedestrian detection: AI-powered pedestrian sensing using advanced modelling with 99.8% accuracy. More accurate detection with fewer false positives means your operators get alerted and take action when it matters. No RFID tags or special safety vests required, reducing the risk of human error or tag failures.
• 360 degree view, no blind spots: Reduce risk and improve visibility for forklift, truck, heavy equipment operators. Proxicam’s HD monitor provides up to 360 degree views from four cameras around any size machine with a sharp, clear, full-color image.
• Secure incident management: Capture crucial proximity data in real-time with Proxicam’s DV-Hub - a ruggedized and lockable data and video logger with up to 2TB SSD storage. Wifi and 4G LTE provide wireless connectivity for remote access, data upload, and over-the-air updates.
• Make data-driven decisions: Proxicam’s cloud portal empowers management with valuable safety insights from event-generated data, video, and asset telemetry information. Accessible from any web browser, get real-time event notification, dashboards, heat-mapping, and customizable reporting on pedestrian proximity events.
• Modular plug-and-play design: Modular design and edge processing located on-camera means simpler, faster installation with fewer components to install and compatibility with all types of machines and equipment. Configuration and optimization is app-based via any smartphone or tablet.

Interested parties can contact Proxicam’s sales team to learn more information.