Automatic Traffic E-challan Generation

Automatic Traffic E-challan Generation

Harsh Sharma (harsh.sharma.it.2020@miet.ac.in)

Lalit Chauhan (lalit.chauhan.it.2020@miet.ac.in)

Lakhan Bhardwaj (Lakhan.bhardwaj.it.2020@miet.ac.in)

Punit Mittal (punit.mittal@miet.ac.in)

Information Technology Dept, Meerut Institute of Engineering and Technology, Meerut

Abstract

Utilizing state-of-the-art technology, Automated Traffic E-challan Generation systems are employed to promptly detect and document traffic violations as they occur. By seamlessly integrating cameras, sensors, and sophisticated algorithms, these systems independently identify transgressions including but not limited to speeding and unauthorized parking. After detection, electronic citations (e-challans) are swiftly produced and delivered to vehicle proprietors, thereby optimizing enforcement procedures and bolstering overall road safety. However, notwithstanding their efficacy, the deployment of such systems mandates the meticulous consideration of privacy and equity issues, necessitating the enactment of suitable regulatory protocols. The Automatic recognition of license plate is the basis of effective management in traffic, the automatic detection and localization of license plate is an important part.
Keywords- Python, Raspberry Pi, Convolutional Neural Network