Ai-based collision avoidance systems
The next-generation AI edge computing technology combines powerful processing capabilities with millisecond-level response. Through five years of continuous development and algorithm optimization in industrial environments, the system now delivers highly accurate and reliable personnel collision avoidance, with a significantly reduced false alarm rate.
Using high-resolution imaging, the AI collision avoidance system continuously monitors the vehicle’s surroundings and dynamically establishes multiple warning zones based on pedestrian distance (5m, 10m, 15m), allowing for precise risk assessment.
When a person enters the warning zone, the system immediately triggers audible and visual alerts. If the individual proceeds into the high-risk zone, it automatically controls the vehicle to slow down or stop, based on real-time speed and braking requirements. Throughout the process, the system continuously records and stores all relevant video and image data, providing comprehensive support for post-incident analysis and traceability.
Collision Avoidance Solution For Forklifts
Based on AI vision technology, the system proactively detects pedestrians and enables tiered collision warnings, speed limits, or automatic stops.
It intelligently recognizes various human postures—including standing, walking, running, and partial occlusion.
Equipped with an integrated DMS (Driver Monitoring System), it monitors and alerts against risky behaviors such as smoking, phone use, and driver fatigue.
The system records vehicle start-stop events, operational violations, and incident details, storing video and image evidence for traceability and analysis.
It supports overspeed alerts, seatbelt non-use warnings, driver facial recognition for ignition, and vehicle access management.
Compatible with electric, fuel-powered, and other industrial vehicles, the system offers flexible deployment options.
Loader Collision Avoidance
Supports highly flexible camera configurations, scalable up to 8 camera channels.
Accurately detects pedestrians and vehicles in real-time around the front, sides, and rear of the vehicle, enabling comprehensive 360° monitoring.
Features an adjustable collision warning distance of up to 15 meters, with tiered responses including alerts, speed limitation, and automatic stopping.
Simultaneously monitors driver status for fatigue, distraction, phone usage, and other unsafe behaviors, providing timely warnings.
Automatically records and stores on-site alarm-triggered videos and images for subsequent analysis and review.
Collision Avoidance for Engineering Vehicles
This system integrates 360° panoramic AI vision algorithms to generate a real-time bird’s-eye view of the vehicle’s surroundings, seamlessly covering all blind spots. For the left, right, and rear areas, it accurately detects approaching objects such as pedestrians and vehicles, promptly alerts the driver via audible and visual signals, and activates a tiered warning mechanism based on risk levels.
Additionally, the system intelligently monitors the driver’s status, providing real-time detection and alerts for behaviors such as smoking, calling, mobile phone use, and fatigue driving. Leveraging 4G vehicle connectivity and an intelligent monitoring platform, it enables comprehensive interoperability between devices, establishing an integrated digital supervision framework of "Human-Vehicle-Safety" to enhance operational efficiency and management intelligence.
Collision Avoidance for Agricultural Machinery
High-definition cameras are strategically installed on key components of the machinery to achieve full blind-spot coverage and real-time monitoring of operations.
A 10-inch waterproof display supports 4-channel video input, while the AI-powered pedestrian and vehicle detection cameras utilize cloud-based intelligent recognition algorithms to learn and identify specific human gestures. Even in complex environments, the system accurately detects individuals and sends early-warning signals to relevant monitoring systems for prompt alerts.
