Automa Ed Control By Real Time Road Lane And Vehi Detection Using Haar Cascade Algorithm

K.Alamelu

Page No: 30-35

The system uses computer vision to detect road lanes and vehicles in the real-time, adjusting the vehicle’s speed for improved road safety. It also prevents accidents due to drowsy driving on highways. Haar cascade algorithm provides fast and accurate detection, implemented on Raspberry Pi. The system captures road images using a camera and processes them in real-time. It adjusts the vehicle’s speed based on detected road lanes and vehicles, ensuring safe driving and maintaining a safe distance from other vehicles.

Citations

APA: K.Alamelu (2025). Automa Ed Control By Real Time Road Lane And Vehi Detection Using Haar Cascade Algorithm. DOI: DOI:10.86493/OTJ.2534303

AMA: K.Alamelu. Automa Ed Control By Real Time Road Lane And Vehi Detection Using Haar Cascade Algorithm. 2025. DOI: DOI:10.86493/OTJ.2534303

Chicago: K.Alamelu. "Automa Ed Control By Real Time Road Lane And Vehi Detection Using Haar Cascade Algorithm." Published 2025. DOI: DOI:10.86493/OTJ.2534303

IEEE: K.Alamelu, "Automa Ed Control By Real Time Road Lane And Vehi Detection Using Haar Cascade Algorithm," 2025, DOI: DOI:10.86493/OTJ.2534303

ISNAD: K.Alamelu. "Automa Ed Control By Real Time Road Lane And Vehi Detection Using Haar Cascade Algorithm." DOI: DOI:10.86493/OTJ.2534303

MLA: K.Alamelu. "Automa Ed Control By Real Time Road Lane And Vehi Detection Using Haar Cascade Algorithm." 2025, DOI: DOI:10.86493/OTJ.2534303