Learn To Create Face Recognition Door Lock With Raspberry Pi

This project course brings together Raspberry Pi, a camera, Python and AWS Rekognition to demonstrate a face-recognition door-lock system. It follows the components and software setup through recognition and door-control features, making the integration itself the focus of learning.

Connect recognition with a physical response

The curriculum covers creating and configuring AWS access, working with the Raspberry Pi in VS Code and setting up the camera. It then moves into indexing faces, recognition and opening the door. Later lessons extend the project with LEDs, relay control, a push-button bell, a motion sensor and voice.

• Explore the components used for the Raspberry Pi project.
• Set up the AWS services demonstrated in the course.
• Capture images and work with face-recognition steps.
• Connect the recognition workflow to a relay-based door lock.
• Explore additional input and feedback features.

The course also describes emailing an image when an unrecognized face is detected. The course suits electronics enthusiasts interested in how cloud recognition services and physical hardware can work together. It is a learning prototype rather than a certified access-control system. Following the build requires compatible Raspberry Pi hardware, a camera, the relevant electronic components and separate AWS access; hardware and service costs are separate.

PLR buyers can adapt and resell this Raspberry Pi training under their own brand. Its specific hardware-and-cloud project can serve a maker education catalog with a clear description of the technologies and build demonstrated.