• Shobhit Khandare
• Archit Badhe
• Rahul Belani
• Rutuja Rakvi
• Sahaj Santani

With the ever-evolving technology, there have been various developments in the field of Lane Detection and Overspeeding. According to the data for the year 2020, In India the issue of lane crossing accounts for 24.4 % of road accidents. Along with lane detection, overspeeding has been a vital cause of accidents. Despite vital efforts to neutralize the problem, excessive speed remains the number one causal factor associated with serious accidents. Also, the majority (59.6%) of road accidents were due to 'over-speeding' which caused 86,241 deaths and left 2,71,581 people injured, the data stated. So, in this report, we propose an effective method for the lane and speed detection of a moving vehicle which would, in turn, reduce the problems of lane cutting and also would reduce the number of accidents significantly. This project mainly focuses on two aspects 1) Lane Detection 2) Over-speeding. The solution is to develop a device that captures real-time road images using the Camera module and IR sensor module for detecting the speed of the vehicle. The feed of both the modules is given to the Raspberry Pi 3 Model B+ to detect the lane and speed of the moving vehicle. If the vehicle crosses the lane or over-speeds or both then the device sends the data and vehicle’s registration number to the central system where all the vehicles of the highway are monitored. This project will help the concerned highway authority to keep a check on the vehicles and also by charging them a fine for every mistake they commit.

Overspeeding, Lane Detection, Grayscale Filter, Gaussian Blur Filter, Canny Edge, Hough Transform, Google Sheets

"LANE ASSIST AND OVER SPEED DETECTION OF VEHICLE TO AVOID ROAD ACCIDENTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.146-151, October-2021, Available :http://www.jetir.org/papers/JETIRFD06019.pdf

"LANE ASSIST AND OVER SPEED DETECTION OF VEHICLE TO AVOID ROAD ACCIDENTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. pp146-151, October-2021, Available at : http://www.jetir.org/papers/JETIRFD06019.pdf