Automatic Monitoring And Control Of Vehicle Entry/exit In Forest Area With Raspberry-pi, Python And Open Cv

In this paper we propose a completely automated monitoring and control of vehicle entry-exit in restricted area using raspberry pi system. The project aims at designing a system which captures vehicle image along with its number plate automatically and further these details are verified with the database filled in online registration form consist of username, mobile number, vehicle number and full address. Farther the details are authenticated then it is processed by Raspberry Pi to authorize to enter the vehicle in the forest area. Once the information is filled in an online registration form the user gets a four digit random code as the receipt of conformation. That random code will be enter at the time of visiting. On the entrance gate camera capture image of vehicle and from that image the number plate is extracted then that extracted number is verified with the authorized registered number plate number. Raspberry Pi is connected with a server for verification of registered data with the image processing tool OCR. If the verification is success fully done with the comparison of online registered data base and the extracted number plate number then visitor enter their four digit random code. If the code is match then the gate will be open. When the authorized vehicle was detected then the system operates the gate using DC motor. The system also alerts the authorities when any unauthorized image of number plate was detected using buzzer alarm system and led. The aim of this research is to develop and implement an authorized automatic gate control system that will increase security and convenience at entrance of all restricted forest places that require protection and Security. The auto gate control will be works without manual help and the system will help to recognizes license plates with the authority at entrance gate and take an action to permits the vehicle in a forest area.