TRAFFIC STOP LINE CROSSING DETECTION SYSTEM USING IMAGE PROCESSING

Using technology to detect traffic violators in many developing countries is challenging. And people in these countries really don’t care about rules or doesn’t know that rules exist. This gives inspiration for developing automated stop-line crossing detection system. This paper presents about cost effective system that uses Arduino-UNO and simple camera to detect people standing on zebra crossing when signal turns red. It also prevents the human intervention and detects stop-line violators swiftly. The system is autonomous and can detect more than one vehicle at a time and immediately send notification to violator. The system presents Automatic number plate recognition techniques and some other image manipulation techniques for number plate detection and character detection.