Deep Learning based Smart Security Camera System using YOLO Algorithm in Security Setting
The proposed Deep Learning based Smart Security Camera System using Yolo Algorithm in Security Setting is designed to detect unusual behavior, like someone covering their face entirely, and responding to that by generating a beep sound to alert. Unlike older systems, it doesn’t just record incidents for later review it can recognize problems as it happens and take action right away. Even if someone wears a full face mask, this system notes them and raise an alarm immediately. It works by using an efficient algorithm called YOLO (You Only Look Once) to quickly know what’s happening in the live camera footage. That is, it can spot multiple objects in real time without slowing down. Overall, this security system is a step ahead in keeping areas safer. It is faster, as it can react to potential threats without needing as many human interventions.
Authors
- G Praveen Santhoshkumar
- Pandi Vijayakumar (ORCID: https://orcid.org/0000-0001-5451-8946)
- C Shwetha
- M. Pyingkodi
- K Shruthi (ORCID: https://orcid.org/0009-0004-8550-0254)
- S Sibitha
Publication Details
- Published
- 2024-10-23
- DOI
- https://doi.org/10.1109/icssas64001.2024.10761043
- Citations
- 1
- Primary Topic
- Face recognition and analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.25