• Vivek Bonde
• Tejas Dharamthok
• Shraddha Doke
• Ashwini Choudhari
• Vaishali Baviskar

In the modern era, where public safety is paramount, there is an increasing need for intelligent surveillance systems capable of real-time threat detection. GuardVision addresses this need by utilizing cutting-edge computer vision techniques to detect weapons in images, videos, and live webcam feeds. Our system leverages the YOLOv8 object detection model, known for its speed and accuracy, to identify potential threats such as guns or knives. Once the input is processed and a weapon is detected, the system immediately initiates a multi-channel alert mechanism, notifying relevant personnel via email, SMS, and an audible alarm on the system’s dashboard. This comprehensive alert system ensures that authorities can respond swiftly to any potential danger, making GuardVision an essential tool for enhancing security in sensitive environments, public spaces, and high-risk areas. Through extensive testing, the system has proven its efficiency and reliability across a variety of conditions.

Weapon Detection, YOLOv8, Computer Vision, Alert Mechanism.

"GuardVision: An Enhanced Weapon Detection using Computer Vision with Alert Mechanism", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 1, page no.e446-e457, January-2025, Available :http://www.jetir.org/papers/JETIR2501458.pdf

"GuardVision: An Enhanced Weapon Detection using Computer Vision with Alert Mechanism", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 1, page no. ppe446-e457, January-2025, Available at : http://www.jetir.org/papers/JETIR2501458.pdf