Vehicle lane Detection
Intelligent Vehicle Lane Detection Using Vision AI for Safety
Automatically identify and track the lanes on highway roads using Computer Vision and alert relevant traffic authorities for immediate action. Through surveillance, capture the Image/video of vehicles mounted on roadside and determine the boundaries of the lanes to improve the safety and efficiency of transportation.
Addressing Lane Detection Challenges to Reduce Collision Risks
Lane breaking leads to 30% of highway accidents being caused by distracted or tired drivers.
- Increase Safety: Providing better traffic conditions by controlling and guiding drivers to avoid traffic conflicts.
- Reduce Road Accidents: Probability of accidents on roads is much greater than usual.
Real-Time Vehicle Lane Detection Using Deep Learning to increase Safety
Our system applies the Canny Edge detection algorithm for lane detection from a video sequence, thereby showing detected lanes to the user.
- Image Processing: Converts images to grayscale and binarization for accuracy.
- Lane Detection: Identify object range using Canny Edge detection and Hough Transform.
- Lane Deviation Recognition: System sends alerts to traffic authorities when deviating from the driving range.
Traffic Safety with Vehicle Lane Detection to Reduce Accidents
Detect lane boundaries to enhance safety with warnings and active assistance for traffic authorities. Analyze lane occupancy and traffic patterns for improved flow, reduction in congestion and optimize operations, leading to reduced travel times and enhanced efficiency in transportation management.
