Design Of Automatic Embedded Vision Authorized Vehicle Recognition System

Abstract

Embedded vision is the merging of two technologies: embedded systems and computer vision (also sometimes referred to as machine vision). An embedded system is any microprocessor-based system that isn’t a general-purpose computer. Embedded systems are ubiquitous: they’re found in automobiles, kitchen appliances, consumer electronics devices, medical equipment, and countless other places. Computer vision is the use of digital processing and intelligent algorithms to interpret meaning from images or video. Computer vision has mainly been a field of academic research over the past several decades. Today, however, a major transformation is underway. Due to the emergence of very powerful, low-cost, and energy-efficient processors, it has become possible to incorporate vision capabilities into a wide range of embedded systems. Our system is designed by using ARM 32-bit controller which supports the image/video processing features. Signals are recognized by using web camera connected to controller through USB. This camera captures image and sends to controller which processes the received image by using image processing technique of detecting specific person/object stored in data base. Our embedded system is designed for tracking only vehicles continuously using USB camera algorithms stored in controller.

Existing System

Proposed System

Architecture

BLOCK DIAGRAM