Summary of Real-time Weapon Detection Using Yolov8 For Enhanced Safety, by Ayush Thakur et al.
Real-Time Weapon Detection Using YOLOv8 for Enhanced Safety
by Ayush Thakur, Akshat Shrivastav, Rohan Sharma, Triyank Kumar, Kabir Puri
First submitted to arxiv on: 23 Oct 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research paper develops an AI model using YOLOv8 for real-time weapon detection to enhance safety in public spaces such as schools, airports, and transportation systems. The approach leverages deep learning techniques to create a highly accurate and efficient system that detects weapons in video streams. The model was trained on a comprehensive dataset containing thousands of images depicting various types of firearms and edged weapons, ensuring a robust learning process. Evaluation metrics like precision, recall, F1-score, and mean Average Precision (mAP) across multiple Intersection over Union (IoU) thresholds revealed significant capabilities to differentiate between weapon and non-weapon classes with minimal error. The system’s operational efficiency was also assessed, demonstrating high-speed processing suitable for real-time applications. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research paper makes a special AI model that can quickly find weapons in videos taken from cameras. This is important because there are too many violent incidents happening all over the world, and we need ways to stop them from happening. The team used a super-powerful computer learning system called YOLOv8 to make this model. They trained it on lots of pictures of different kinds of guns and knives, so it could learn what those things look like. Then they tested how good the model was at finding weapons in videos. It did really well! The team thinks that their model can help keep people safer by helping police and security guards find bad guys more easily. |
Keywords
» Artificial intelligence » Deep learning » F1 score » Mean average precision » Precision » Recall
