Combining AI image recognition and early warning mechanisms to actively detect pedestrian and vehicle dynamics at intersections, effectively improving safety at non-signalized crossings.
AI Object Detection with Real-Time Alerts
In line with the Ministry of Transportation's Q4 2022 Road Safety Campaign theme “Unsignalized Intersection Safety,” the system targets accident-prone unsignalized junctions. It uses AI object detection to accurately identify oncoming vehicles and pedestrians, focusing on high-risk areas such as intersections and blind corners.
The system provides real-time alerts to road users, reminding them to slow down and pay attention to approaching traffic or pedestrians. This helps reduce accidents and improves overall intersection safety, aligning with the government's road safety promotion and intelligent transportation supervision policies.
Utilizes advanced deep learning to accurately detect vehicles and pedestrians, enhancing early risk prevention at intersections.
Operates reliably in rain, fog, and at night, ensuring long-term high-efficiency monitoring across weather conditions.
Focuses on unregulated intersections and blind corners with accurate surveillance and risk alerts to improve traffic safety.
All-time and All-space Perception
Multi-sensor complementary advantages, sensing all-weather and complementary spatiotemporal measurement.
Platform-wide Analysis
Global target tracking and analysis for continuous perception.
Provides real-time monitoring and video feed to help users stay updated with traffic conditions.
Uses AI vision to detect approaching vehicles and alert road users to avoid accidents.
Integrates detection results into the CMS display to warn of vehicle or pedestrian presence and promote safety.
The system uses AI-based image recognition that can flexibly adapt to various non-standard camera angles, and displays real-time intersection footage on the platform.
When a vehicle or pedestrian enters the AI detection zone, the system warns either the vehicle or pedestrian to ensure safety awareness.
