Abstract: It is impossible to exaggerate the role that facial recognition plays in modern security and surveillance. The demand for a dependable and reasonably priced system is growing as a result. We want to know if it's possible to install a facial recognition system that uses conventional facial detection methods and is based on a Raspberry Pi. offering a novel approach to expedite student attendance records while enhancing security. This Python-developed system uses the Haar Cascade algorithm, a USB camera, and an OLED display as examples of modern technology. It guarantees accurate and perceptive facial recognition, presenting "Known" or "Unknown" according to unique identifications. When someone approaches the gate, an ultrasonic sensor is used to detect it, which triggers the camera to begin processing images. The idea uses a fast Class 10 SD card and a strong power supply system to enable effective data handling and streaming. In the end, our project serves as a powerful instrument for extremely precise facial recognition, improving the effectiveness and security of facial recognition.
Keyword: Raspberry Pi, Haar Cascade, Facial Recognition.
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