Case Study: Waste Management improves rider safety with KUNGFU.AI's computer vision early warning system

Waste Management detects threats in 0.05 seconds with KUNGFU.AI

Waste Management, North America's leading waste services provider, faced the critical challenge of protecting the riders on their rear-loader trucks from life-threatening rear-end collisions. Relying solely on human awareness was not enough, so they partnered with KUNGFU.AI to create a proactive, automated detection system that could provide real-time alerts to riders at risk.

KUNGFU.AI developed a high-performance computer vision platform using an ensemble of models running on low-power edge devices. The solution included a threat prediction model that calculated the speed and distance of approaching vehicles to assess danger. The resulting Early Alert Rear Safety Device proved highly effective in field tests, achieving detection in just 0.05 seconds per frame with no false negatives reported, giving riders valuable seconds to react and avoid injury.

Waste Management