Automation has created a bigger hype in the electronics. The major reason for this hype is automation provides greater advantages like accuracy, energy conversation, reliability and more over the automated systems do not require any human attention. Any one of the requirements stated above demands for the design of an automated device. The energy conversation is very important in the current scenario and should be done to a maximum extent where ever it is possible. Energy can be effectively conserved if we can control the traffic lights on the highways by glowing them according with time delay. So in this situation we should think about a system which is capable of sensing the traffic density and automatically should manage to control the traffic levels by increasing the time delay for the green signal to the roads which are with heavy traffic. The main aim of this project is to monitoring of traffic signal violation and its penalty system using Raspberry Pi. In this work, Radio Frequency Identification (RFID) along with Image Processing techniques is used. Using radio frequency identification (RFID) technology, this project aims to create an intelligent traffic system. It is developed and operated in such a way that fines are tracked independently. RFID technology, passive tags, a processing unit (computer), and a communication system were all utilized with low-cost equipment. The first level is represented by data collection via RFID, which scans any identifiable tag connected to cars. In this pi camera is mounted on traffic signals which is interfaced to the raspberry pi for continuously monitoring of vehicles. When any vehicle break traffic rules, particularly signal jumps then pi camera capture the vehicle image and sending mail to the vehicle owner along with vehicle image and penality. And also display the vehicle number on LCD display. The concept provided in this title will help to reduce road accidents and avoidance.  The SD card is a key part of the Raspberry Pi; it provides the initial storage for the Operating System and files. Storage can be extended through many types of USB connected peripherals.  

The major features of this project are:

1. Automatic traffic lights control.
2. Automated Penalty Collection for Traffic Signal Violation.
3. Using RFID technology for vehicle details.
4. Using Raspberrypi, PIC Microcontroller to achieve this task.

  The major building blocks of this project are:  

• Regulated Power Supply.
• PIC Microcontroller.
• Traffic signals.
• Raspberry pi.
• RFID Reader.
• Pi camera.
• SD Card.
• LCD display.

  Software’s used:  

1. PIC-C compiler for Embedded C programming.
2. PIC kit 2 programmer for dumping code into Micro controller.
3. Express SCH for Circuit design.
4. Linux OS, Python language.
5. Image processing technology.

  Regulated Power Supply:   Block Diagram:           video: