• LEMBURU SHYAMKUMAR
• Dr. K.PURUSHOTHAM PRASAD

At present situation the human beings are faced many accidents during the road ways transportation. At the same time they lose our life and valuable properties in those accidents. To avoid these problems the system designed with the help of Raspberry pi. The Digital image processing plays important role in the sign capturing and detection system. The image processing algorithms to takes the necessary action for resizing the captured signs. The Raspberry pi camera port used to capturing the road signs with image enhancement techniques. The embedded system small computing platform studies the characteristics of speed signs. In that daylight vision time to take the shape analysis for recognizing the signs using CNN 2D convolution, Tensor flow DNN, Pandas, numpy. Automatic Cruise control (ACC) Algorithms. The objective of the proposed work is to implement the available technique to traffic signal with the help of raspberry pi3 board.

"RASPBERRY-PI BASED ROAD SIGN RECOGNITION FOR AUTONOMOUS VEHICLE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.c1-c7, August-2021, Available :http://www.jetir.org/papers/JETIR2108251.pdf

"RASPBERRY-PI BASED ROAD SIGN RECOGNITION FOR AUTONOMOUS VEHICLE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppc1-c7, August-2021, Available at : http://www.jetir.org/papers/JETIR2108251.pdf