Vehicle Controlled with Smart Traffic Image Processing System and Accident Detector

Road traffic congestion conditions are getting worse day by day, it is due to rapid growth of vehicle volume on roads. Therefore, the road traffic management is a major concern. Vehicles mostly uses traffic congestion .This project main aim will be to make sure that vehicles will have an pi camera that will capture the signs from a traffic signs board at a distance of 5mts between the traffic sign board and the vehicles By doing this, if the traffic sign shows the STOP sign ,the vehicle will get slow down and will not move but the engine will be ON, now when the sign shows GO then the vehicle will be able to move. Most of the times when the person who met with an accident doesn't get any help from the surrounding hence auto detection of accident and notifying the accident with the location to a victims relatives and emergency services plays a vital role in saving person's life. This paper describes the implementation of microcontroller based accident detection and notification system. The sensing unit contains accelerometer sensor which are used to detect accident of vehicle. When accident happens GPS sky trek s1315 is used to track real time location and GSM 900 is used to notify the accident via SMS. Software program developed using PYTHON coding. The proposed model is successfully implemented and tested with prototype model. Alex Abraham | Arvinth. P. R | Guru Prasad. K | Sudha. M "Vehicle Controlled with Smart Traffic Image Processing System and Accident Detector" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31082.pdf Paper Url :https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/31082/vehicle-controlled-with-smart-traffic-image-processing-system-and-accident-detector/alex-abraham