• Syed Ashfaquddin
• VS Padmini
• Ujwal Kodge
• Shah Mujtaba Ahmed Quadri

Ensuring public safety through effective weapon detection is a critical challenge in modern security systems. This research presents an AI-powered weapon detection system using the YOLOv8 deep learning model. The system is trained on the Roboflow weapon detection dataset to accurately identify and classify weapons in real-time video feeds or images. By leveraging advanced computer vision techniques, the model enhances surveillance capabilities, reducing response time and improving security measures in high-risk environments. Experimental evaluations demonstrate high accuracy and efficiency, making this system a reliable solution for automated threat detection in public spaces.

"Weapon Detection Using Artificial Intelligence & Deep Learning for Security Applications", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 1, page no.h197-h201, January-2025, Available :http://www.jetir.org/papers/JETIR2501722.pdf

"Weapon Detection Using Artificial Intelligence & Deep Learning for Security Applications", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 1, page no. pph197-h201, January-2025, Available at : http://www.jetir.org/papers/JETIR2501722.pdf