Design and Development of Smart Locker for Domestic Applications

This research work proposes the designing and development of a smart locker system for domestic applications that uses a face identification system to identify authorized and unauthorized persons from opening and stealing valuables. The system is designed to integrate Raspberry Pi, camera, and keypad modules to recognize the authorizer and allow access to the locker. The face identification system uses open CV technology, and the Raspberry Pi is coded using Python programming language to achieve the desired output. The proposed system provides a 4-digit passcode to open the locker, and if the authorizer fails to enter the correct passcode, the locker can only be accessed through the manual key provided by the manufacturer. If an unauthorized person attempts to open the locker, the system shifts to manual lock, and an additional shock protection mechanism is also implemented. The proposed system is expected to offer improved security and convenience for domestic applications. The performance evaluation criteria include testing procedures and protocols, and the experimental results are presented and analyzed. The research work concludes with suggestions for future research work in the field of smart lockers and face identification systems.