Design of Face Detection and Recognition System to Enhance Security of Safe Locker | ||
| IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING | ||
| Volume 23, Issue 4, December 2023, Pages 95-105 PDF (1.2 M) | ||
| Document Type: Research Paper | ||
| DOI: https://doi.org/10.33103/uot.ijccce.23.4.9 | ||
| Author | ||
| Mohammed Majid Msallam* | ||
| Computer Engineering Department, Ankara University, Ankara, Turkey. Control and Systems Engineering Department, University of Technology, Baghdad, Iraq. | ||
| Abstract | ||
| In recent years, safe lockers have been spread in public places to secure valuable belongings. The people are concerned about losing safe locker keys or use of the spare key by others and will remain worried about their things. To solve the forenamed matter, this paper proposed a system that depends on biometrics to secure valuable things and can minimize their concerns and worries. The proposed system consists of two major parts, software, and hardware. In the hardware part, A microcontroller with a camera and an electronic lock will be used to securely open or close the door of the safe locker. In the software part, the images that are pictured by the camera will be prepared by an image processing algorithm and then Support Vector Machines (SVM) will be trained in the images of a person. The images and information of the person will be saved until the belongings come out and after that deletes everything to prepare for another one. | ||
| Keywords | ||
| Safe Locker; Face Detection; Face Recognition; Machine Learning; Cyber Security | ||
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