• M Mohamed Rafi
• R .Hema Ganapathi
• K.Ramya
• Dr.S Sajitha Banu

There are many standard regulations for traffic light detection and regulations through the world that has been constituted by many regulatory bodies, traffic authorities and government agencies. But constant updation of technology implementation such as machine learning and deep learning algorithms, innovative solutions for real time problems like traffic plate detection and automation has a long way to go. This paper implements the use of neural networks using deep learning technique to detect and automate the traffic in the street lights that has been a problem since long. Many significant works done on the same what this paper stands rest by using the updated deep learning Technology and the latest algorithms providing accuracy level, comparative analysis and visualization to the real time scenario.

Traffic Sign Detection , Congestion, Traffic Density, Computer Vision, Deep Learning, Convolutional Neural Networks, Python

"Smart Traffic Signs detection & control system based on Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.e716-e719, August-2022, Available :http://www.jetir.org/papers/JETIR2208487.pdf

"Smart Traffic Signs detection & control system based on Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppe716-e719, August-2022, Available at : http://www.jetir.org/papers/JETIR2208487.pdf