Security is a major concern everywhere in the world and maintaining the security of vehicles is a toughest job. So Vehicle identification system will help to detect the vehicle by using number plates. Because number plates are the unique identifier of every vehicle. Python, open CV libr
University Vehicle Identification System
Security is a major concern everywhere in the world and maintaining the security of vehicles is a toughest job. So Vehicle identification system will help to detect the vehicle by using number plates. Because number plates are the unique identifier of every vehicle.
Python, open CV libraries, OCR (optical character recongnition) and a web camera is used for all this process. Main approach is to make people secure at any place.
? To develop fully automated system for vehicle identification.
? To make security system fastest and reliable.
? To make people secure at any place.
? To make a convenient and easy to use system applicable for every small to big organization.
Project implementation will be done using:
• Python
• Open CV libraries
• OCR (Optical Character Recongnition)
• Web Camera
Firstly the car is detected by using a web camera. The number plate area is extracted by the car image. Characters from the image are then read by using OCR. The characters then matched by the data saved in Data Base. If the results match then car can easily go. But if results not found then an alert will generate to ensure that an unregistered car is trying to enter in the place.
• Fastest and secured system.
• Reliable and environment friendly.
• Highly trustable 24/7 security.
• Benefical from small schools to large military zones or offiices.
At the end a helpfull system will be genrated concerned with the day by day security issues. Developed using pyhton code, open CV librariers and OCR. Small details will b focused to ensure the reliability.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Camera, alarm | Equipment | 2 | 25000 | 50000 |
| Total in (Rs) | 50000 |
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