Advanced Lane Change Detection With Deep Learning Monitoring Dangerous
Lanes Changes with Precision Alerts
Why this detection is important?Preventing Collisions
Unsafe lane changes significantly increase the risk of collisions with other vehicles. Detecting these maneuvers enables timely interventions to avoid accidents. Minimizing Congestion and Delays
By mitigating accidents caused by reckless lane changes, traffic flow becomes smoother and more efficient, reducing delays. Reducing Secondary Incidents
Unsafe lane changes often result in secondary incidents, such as chain-reaction collisions. Identifying and addressing these risky behaviors helps prevent further accidents and disruptions on the road.
Benefits of Lane change Detection with Deep LearningA new detection system for safer roads and tunnels: Designed to enhance road and tunnel safety by identifying unsafe driving behaviors. Detection of hazardous driver behavior: The system actively identifies and highlights risky maneuvers by drivers. Dynamic bounding box for targeted monitoring: A dynamic bounding box follows the driver in question, providing precise tracking. Behavior tracking: Tracks and visualizes the driver’s behavior over time for better analysis. Vehicle classification: Classifies lane-changing vehicles for detailed reporting and analytics. Non-intrusive detection mode: Operates in silent mode to avoid distracting traffic operators, functioning as a traffic event alert when necessary.
- World leader with 25 years of experience and 60,000 video streams analyzed in 50 countries. We offer the best performance on the market, with the highest detection rate and lowest false alarms.
- The only global company dedicated to AID, our 10 R&D engineers continually enhance our product using AI. Our unique approach blends traditional pixel-based analytics with the latest deep learning models.
- We provide the best total cost of ownership over 10 years, with standard hardware requirements, easy commissioning, annual upgrades, expert tech support, and proven cybersecurity.
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