Advanced Security with YOLO Object Detection Using Raspberry Pi

Recent years have seen a tremendous impact on the field of security and surveillance systems due to the quick development of computer vision technologies. The You Only Look Once (YOLO) object identification method has stood out among these developments for its speed and accuracy in real-time object recognition. The suggested system combines the cutting-edge object detection capabilities of YOLO with the small and power-efficient Raspberry Pi to enable the creation of affordable and transportable security solutions. The system can quickly identify and monitor objects of interest inside a surveillance region by utilizing YOLO's real-time detection capabilities. This is especially helpful in situations like intrusion detection, access control, and asset security that call for quick action. By offering a reliable, real-time object detection solution that runs on a cheap and energy-efficient platform, the research's findings boost security systems. A wider use of similar systems in a variety of security applications, such as smart homes, retail surveillance, and industrial monitoring, is demonstrated by the practical implementation of YOLO on Raspberry Pi.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/emergin63207.2024.10960931
Primary Topic
IoT-based Smart Home Systems
Type
article
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article

Advanced Security with YOLO Object Detection Using Raspberry Pi

Sankha Subhra Kundu, Purnendu Shekhar Pandey, Vivek Kumar, Yash Gehlot et al.
IoT-based Smart Home Systems
article

Advanced Security with YOLO Object Detection Using Raspberry Pi

Sankha Subhra Kundu, Purnendu Shekhar Pandey, Vivek Kumar, Yash Gehlot, Aditya Gurung, Navjot Rathour, Monika Monika
article en

Abstract

Recent years have seen a tremendous impact on the field of security and surveillance systems due to the quick development of computer vision technologies. The You Only Look Once (YOLO) object identification method has stood out among these developments for its speed and accuracy in real-time object recognition. The suggested system combines the cutting-edge object detection capabilities of YOLO with the small and power-efficient Raspberry Pi to enable the creation of affordable and transportable security solutions. The system can quickly identify and monitor objects of interest inside a surveillance region by utilizing YOLO's real-time detection capabilities. This is especially helpful in situations like intrusion detection, access control, and asset security that call for quick action. By offering a reliable, real-time object detection solution that runs on a cheap and energy-efficient platform, the research's findings boost security systems. A wider use of similar systems in a variety of security applications, such as smart homes, retail surveillance, and industrial monitoring, is demonstrated by the practical implementation of YOLO on Raspberry Pi.

Chandigarh University (IN)
Openalex Percentile: Top 73%
IoT-based Smart Home Systems
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Advanced Security with YOLO Object Detection Using Raspberry Pi — Sankha Subhra Kundu, Purnendu Shekhar Pandey, et al. · (2024) | TGRS Research Map | TGRS