| Title | A Smart Door Lock Security System using Internet of Things |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Doshi, Om B., Bendale, Hitesh N., Chavan, Aarti M., More, Shraddha S. |
| Conference Name | 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC) |
| Date Published | may |
| Keywords | Cameras, Costs, face recognition, Firebase, Haar-Cascade, Human Behavior, Internet of Things, LBPH face recognizer, Mobile handsets, pattern locks, Pi Camera, pubcrawl, Raspberry Pi, resilience, Resiliency, Safety, Scalability, SD Card, security |
| Abstract | Security is a key concern across the world, and it has been a common thread for all critical sectors. Nowadays, it may be stated that security is a backbone that is absolutely necessary for personal safety. The most important requirements of security systems for individuals are protection against theft and trespassing. CCTV cameras are often employed for security purposes. The biggest disadvantage of CCTV cameras is their high cost and the need for a trustworthy individual to monitor them. As a result, a solution that is both easy and cost-effective, as well as secure has been devised. The smart door lock is built on Raspberry Pi technology, and it works by capturing a picture through the Pi Camera module, detecting a visitor's face, and then allowing them to enter. Local binary pattern approach is used for Face recognition. Remote picture viewing, notification, on mobile device are all possible with an IOT based application. The proposed system may be installed at front doors, lockers, offices, and other locations where security is required. The proposed system has an accuracy of 89%, with an average processing time is 20 seconds for the overall process. |
| DOI | 10.1109/ICAAIC53929.2022.9792831 |
| Citation Key | doshi_smart_2022 |
A Smart Door Lock Security System using Internet of Things