Intrusion Detection System Using Yolo V5

The Intrusion Detection System (IDS) for Grovers Vineyards stands as a critical asset in fortifying security measures, serving as a vigilant sentinel against unauthorized access and potential threats within the confines of a renowned wine-tasting center.

In a contemporary landscape rife with ever-evolving security challenges, the deployment of such automated surveillance systems assumes paramount importance. While the IDS excels in its capacity to swiftly detect physical intrusions, it remains focused solely on the realm of physical security, omitting coverage of digital breaches or network infiltrations.

Operationalized through the cutting-edge YOLO v5 algorithm, alongside Python programming on the Linux platform, the IDS harnesses the prowess of OpenCV and PyTorch dependencies to meticulously analyze surveillance footage.

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