Multi-layered safety is an approach that combines complementary AI, UWB, vehicle, and zone-control technologies to address different industrial risk scenarios. In forklift operations, layers can include AI camera perception, UWB tag-based proximity detection, vehicle-to-vehicle communication, zone-based speed control, and connected environmental controls.
The layers address different operating conditions. AI cameras can identify pedestrians without requiring a wearable tag, while UWB can provide proximity detection in blind spots or occluded areas when compatible tags and equipment are present. Vehicle communication can support forklift-to-forklift or forklift-to-AGV interactions, while zone controls and connected lights or doors can support responses at defined intersections and facility areas.
A useful design starts with site-specific risk assessment, including location-based hazards, traffic patterns, and operational constraints. The selected controls can then be integrated into existing workflows, with each layer assigned to a defined exposure scenario. The configuration and coverage depend on the site, equipment, and validated integrations.
Ongoing review of event records, leading indicators, and interaction patterns helps teams identify emerging risks and refine controls over time. This closed-loop approach supports risk visibility and continuous improvement alongside traffic management, workplace procedures, and training.