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DESIGN AND IMPLEMENTATION OF AN FPGA BASED SMART TRAFFIC LIGHT CONTROL SYSTEM USING CAMERA BASED VEHICLE DETECTION
Traffic Congestion Is A Major Challenge In Rapidly Growing Urban Areas, While Conventional Fixed-time Traffic Signals Cannot Respond Effectively To Changing Traffic Density. This Paper Presents A Camera-based Smart Traffic Light Control Sys...
Adaptive Traffic Lights Control Using IoT And Image Processing
Urban Traffic Congestion Has Become One Of The Major Issues In Modern Cities. As City Populations Grow And Vehicle Usage Increases, Existing Road Systems Struggle To Manage The Traffic Load Effectively. This Results In Long Delays, Energy W...
Emergency Vehicle Object Detection For Traffic Light Optimization
In Modern Urban Areas, Traffic Congestion Is A Significant Issue, Especially During Emergencies. Emergency Vehicles Such As Ambulances And Fire Trucks Often Get Delayed Due To Traffic Signals Not Adapting To Their Presence. This Paper Propo...
LANE AND VEHICLE DETECTION USING VGG-16 ALGORITHM FOR NEXT GENERATION OF FEATURES
Lane And Vehicle Detection Is A Crucial Component Of Many Advanced Driver Assistance Systems (ADAS) And Autonomous Driving Systems. By Accurately Identifying And Tracking Lanes And Vehicles, These Systems Can Help Improve Safety And Reduce...
REAL TIME TRAFFIC SURVEILLANCE USING CANNY OPERATOR AND FUZZY HYBRID DETECTION
Every Day Growth Of Vehicles Has Become An Increased Problem Of Urbanism Especially In Major Cities. Traffic Control And Monitoring Using Video Cameras Has Recently Drawn Increasing Attention, Due To The Significant Advances In The Field Of...