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Smart Home Security: An IoT-Driven Facial Recognition Door Lock using ESP32-CAM

Ratnesh Kumar Choudhary*, Prasanna Lohe**, Prathamesh Gadekar ***, Ved Sharma****, Sakshi Pahade*****, Saurav Tayde******, Rushikesh Nagpure*******

*-******* Department of Computer Science and Engineering, S. B. Jain Institute of Technology, Management and Research, Nagpur, India.

Periodicity:January - June'2025

Abstract

The Smart Door Lock leverages advanced facial recognition technology to enhance access control. This system replaces traditional keys or passwords by recognizing and verifying individuals through facial feature analysis. It utilizes the ESP32- CAM module, an affordable development board equipped with a camera, Wi-Fi, Bluetooth, and low- energy BLE capabilities. Its compact structure makes it well-suited for IoT applications. When an authorized individual approaches, the door unlocks automatically, offering both security and ease of use. The setup also incorporates an Arduino Uno microcontroller, capable of handling multiple inputs and outputs for added flexibility. For improved security, an optional fingerprint sensor can be integrated, enabling dual-layer authentication through biometric verification.

Keywords

IoT, ESP32-CAM, Facial Recognition, Door Lock, Security.

How to Cite this Article?

Choudhary, R. K., Lohe, P., Gadekar, P., Sharma, V., Pahade, S., Tayde, S., and Nagpure, R. (2025). Smart Home Security: An IoT-Driven Facial Recognition Door Lock using ESP32-CAM. i-manager’s Journal on IoT and Smart Automation, 3(1), 43-52.

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Smart Home Security: An IoT-Driven Facial Recognition Door Lock using ESP32-CAM

Abstract

Keywords

How to Cite this Article?

References

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