This article discusses a new approach to detecting guns in educational institutions by leveraging visual and auditory cues. The system below combines YOLOv7 for image recognition and pyAudioAnalysis for audio analysis to identify guns visually and discern gun-related sounds. The aim is to create a comprehensive security framework that can detect possible threats and ensure the safety of schools in a constantly changing security landscape.
Unified Approach: Merging Visual and Auditory Cues
Visual: Gun Detection Approaches
Image-Based Gun Detection With YOLO (You Only Look Once)
In 2016, Joseph Redmon and Santosh Divvala introduced YOLO (You Only Look Once), a one-stage object detection system that stands out for its image-based gun detection feature. YOLO works by dividing the input image into a grid and efficiently predicting bounding boxes and class probabilities. It is versatile in handling objects of different scales and is suitable for time-sensitive applications due to its real-time processing capability.
