FACE DETECTION BASED LOCKING SYSTEM USING RASPBERRY PI CAMERA FOR HIGH ALERT SECURITY

Code 280 FACE DETECTION BASED LOCKING SYSTEM USING RASPBERRY PI CAMERA FOR HIGH ALERT SECURITY

15,700.00 12,900.00

The project deals with the design and implementation of secure locking automation using Raspberry Pi Bio-metrics refers to metrics related to human characteristics. Face recognition system is widely used for human identification due to its capability to measure and subsequently identifies human identification especially for security purposes. Bio-metrics authentication (or realistic authentication) is used in computer science as a form of identification and access control. It is also used to identify individuals in groups that are under surveillance. Open CV/ Python library is formulated as given images of a scene identify or verify one or more persons in the scene using a stored database of faces. Thus, the images are extracted and allowed to match with the database images. If the images are matched, the door opens automatically.

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Description

The project deals with the design and implementation of secure locking automation using Raspberry Pi Biometrics refers to metrics related to human characteristics. Face recognition system is widely used for human identification due to its capability to measure and subsequently identifies human identification especially for security purposes. Biometrics authentication (or realistic authentication) is used in computer science as a form of identification and access control. It is also used to identify individuals in groups that are under surveillance.
Open CV/ Python library is formulated as given images of a scene identify or verify one or more persons in the scene using a stored database of faces. Thus, the images are extracted and allowed to match with the database images. If the images are matched, the door opens automatically.
The design of the face recognition system using Raspberry pi can make the smaller, lighter and with lower power consumption, so it is more convenient than the PC-based face recognition system. Because of the open source code, it is freer to do software development on Linux. The developed scheme is cheap, fast, highly reliable and provides enough flexibility to suit the requirements of different systems. Camera module is Pi camera interfacing to the raspberry pi module. It issued for capturing an image and send captured image to the Raspberry pi module.
Raspberry pi module is small computer board. When image taken by the raspberry pi. At the first time when we capture the image to create a data base, raspberry pi module captures to create a data base in the system and this data base is compared with the live captured image. Sometimes unknown person may also enter; this cannot be avoided but at all times everyone will not be aware of the intruder. For this type of situation this model proposes a solution. If the captured image is an unauthenticated person, then an message will be automatically displayed on LCD. Face recognition system has been developed in order to study the potential application for automated door access control. Among the other bio-metric techniques, face recognition approach possess one great advantage which is user friendliness. Industrial automation and control. Improvement in the security issues in highly restricted areas.

HIGHLIGHTS

  • The project deals with the design and implementation of secure locking automation using Raspberry Pi Biometrics refers to metrics related to human characteristics.
  • Face recognition system is widely used for human identification due to its capability to measure and subsequently identifies human identification especially for security purposes.
  • It is also used to identify individuals in groups that are under surveillance.
  • Improvement in the security issues in highly restricted areas.

BLOCK DIAGRAM

HARDWARE REQUIREMENTS

  • Raspberry-Pi Kit
  • Motor Driver IC
  • LCD Display
  • Motor
  • Pi Camera

SOFTWARE REQUIREMENTS

  • Linux OS
  • Programming Language: Python

RESOURCES

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