Abstract
Speed is the single largest killer on India’s roads. The higher the speed, the greater the impact and the more the chances of grievous injury and death. This is why speed management is something which needs to be seriously considered. Here is an approach to build a system which reduces the number of accidents due to driver’s negligence of over speeding. We are proposing a Dynamic Speed Limiter with the help of machine learning algorithm which will help in reducing the accidents caused due to over speeding and rash driving of vehicles on road. The proposed system set the maximum speed of vehicle with the help of sign board available on the roads which define the safe driving speed of vehicle for that area or road. Also to solve the potholes we are using ML algorithm and mobile phone accelerometer to detect the potholes, accelerometer vibrations are set. After detecting the vibrations, the location (i.e. longitude and latitude) is marked on the GPS, commuters will get information about potholes.
Highlights
According to the World health organization, around the world approximately 1.35 million die every year due to road accidents
We introduce an automatic detection and recognition system of speed- limit sign board that can handle different conditions of lighting and blurriness in images[5,6]
The speed limiter sets the maximum speed of the vehicle which restricts the vehicle to over speed
Summary
According to the World health organization, around the world approximately 1.35 million die every year due to road accidents. According to Central Ministry of Road Transport and Highway India[1], in 2017 speeding on road was reason for death of 9717 peoples accounting for more than a quarter (26%) of all the traffic caused fatalities. Speeding endangers the life of the speeder and all the commuters around them. To solve this cause, we are designing and implementing a dynamic speed limiter through image processing technique. In the year 2017, 4250 people died nearly on the roads which were under construction. To solve this cause, we are using ML algorithm and mobile phone accelerometer to detect the potholes, accelerometer vibrations are set. The location (i.e. longitude and latitude) is marked on the GPS, commuters will get information about potholes via updated Maps and the location will be sent to the corporation to fix the potholes
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