An Experiment Analysis on Tracking and Detecting the Vehicle Speed using Machine Learning and IOT

Nowadays road accidents are the major concern in machinery life of humans. Lots of people have lost their lives, properties, family members due to the misjudged act in driving and the curiosity of over-speed. So it is important to define a system to protect the people from unexpected collision not completely at least save their lives. Hence this project is to track the speed of the vehicle and alert the vehicle about speed variations as well as capture its information from number plate. As widely preferred recent technology of AI with machine learning has been used to visualize the clear data from the picture captured by sensing camera placed at appropriate places. Once the data is extracted it will be sent to the control room to track and penalized the vehicle's owner for the violation of traffic rules. This project is makes use of Arduino UNO, machine learning along with IOT. The accurate data that is being collected is recognized through machine learning that is being enabled using IOT is used to segment and recognize the character and sent via Wi-Fi module to the server. This would be an efficient method for detecting and tracking of vehicles of vehicles in the current situation, this will be greatly useful to avoid traffic congestion in urban areas, avoid accidents in hill side turnings, national highways. This system is implemented in Protues software along open CV python that is being worked along with ML.