The project aims at designing an intelligent security system for accessing the door using raspberry pi and image processing. Our system uses face recognition system to identify the authorized users to access the door and only the authorized users are accessing the door. This allows for a fast easy to use authentication system. System uses raspberry pi circuit, it consists of an LCD display, a motor & LEDs, and it also consists of a camera. When we turn on the system authority provided by 3 options that is registration, start and clear data, while registering, it first scans the owner’s face. After successful registration, the owner/authorized person can access the door. If an unauthorized user tries to use the door, the system scans the person’s face, and checks whether face matches with the authorized face, if it does not match the system denies and turn on the RED LED as indication of unauthorized accessing. In this way system helps to secure such intelligent systems. The status of the project will display on LCD module. This project consists of ultrasonic sensor to detect the presents of the person. If the sensor detects the person this data process to raspberry pi, then raspberry pi enables the pi camera module for scanning the person image. In this project DC motor works as a vehicle. The Intelligent system proposed makes a use of raspberrypi3. To perform this task, Raspberry Pi processor is programmed using embedded ‘Linux’.    

The objectives of the project are:  

• To design and implement of face authenticated based door accessing system.
• To design and implement face authentication of captured image using pi camera by Python platform on Raspberry Pi.
• The captured image is compared and verified with the database, if found matching then system accesses the door along with indication.
• In case of failure of face authentication then system gives the indication through RED LED.
• To design and implement of the project using python platform and raspberry.
• Visible alerts using LCD display.
• Ultrasonic sensor-based person detection.

  The major building blocks of the project are:  

• Power supply.
• Raspberry Pi processor.
• Pi Camera.
• LCD display.
• Ultrasonic sensor.
• DC motor with L293D motor driver.
• RED, GREEN LED indications.
• Limit switch.
• 9V Battery.
• Two push buttons.

  Software’s used:  

1. Embedded Linux programming.
2. Express SCH for Circuit design.
3. Face recognition using image processing.

Block diagram:         video: