Automated Vehicle Noise and Over Speed Detection System

Abstract

Abstract: This paper introduces anongoing project on the surveillance of speed vehicles and which makes more noise on the road. Noise pollution created by vehicles on urban roads is becoming more severe. To enforce current measures,we developed a vehicular noise surveillance system including a vehicle speed measurement method. Samples ofvehicular noise were recorded on-site using IR sensor. When IR Sensor detects more vehicle noise greater than 90 decibels, then the transmitter sends the data to the receiver. The receiver recieves the data then makes the RaspberryPi camera on. RaspberryPi camera captures the vehicle number plate and rider photo or video using OCR and the buzzer will turn on it gives the intimation and at the same time the data will store in cloud. License Platform Detection is a computer technology that enables us to identify digital images on the platform automatically. Different operations are covered in this system,such as imaging, number pad locations, alphanumeric character truncation and OCR. The final objective of the system is to construct and create efficient image processing procedures and techniques to position a licensing platter on the Open Computer View Library picture. It was used and implemented the KNN algorithm and python programming language. The technology can be used in different industries such as security, highway speed detection, lighting violations, manuscript documents, automatic charging system, etc. Auto plate recognition is an integratedtechnology which identifies the auto licence plate. Auto plate auto recognition. Multiple applications include complex safety systems, public spaces, parking andurban traffic control. Automatic Vehicle License Plate Recognition (AVLPR) has undesirable aspects because of many effects, such as light and speed. This work presents an alternative technique to leverage free software for the implementation of AVLPR systems including Python and the Open ComputerVision (openCV).