gun-detection

Goal

Kids must be safe at school. AI For Mankind wants to build and deploy gun detection system to local schools to protect our children.

Datasets

1. YouTube-GDD: A challenging gun detection dataset with rich contextual information.
2. Hands Guns and Phones (HGP) Dataset. Prepared by the authors of this paper TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video.
3. Real-time gun detection in CCTV : An open problem.
4. Detection-of-lumbar-weapon-pistol-by-deep-learning--With-YOLO-v5.
5. https://www.kaggle.com/datasets/atulyakumar98/fire-and-gun-dataset/

Model

AI For Mankind combined the following datasets into the above one consolidated train dataset and trained an experimental Yolov5 model for gun detection.

1. Hand, gun and phone dataset prepared by Mario Alberto Duran-Vega, Miguel Gonzalez-Mendoza, Leonardo Chang, Cuauhtemoc Suarez-Ramirez, the authors of TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video

2. Rifle, gun and fire dataset prepared by Atulya Kumar

Here are the experimental model's metrics against validation set. (Yolov5 large, 300 epochs, batch size 8, image size 640)

YOLOv5l_rifle summary: 267 layers, 46119048 parameters, 0 gradients, 107.7 GFLOPs

Class	Images	Instances	P	R	mAP50	mAP50-95
all	500	645	0.834	0.741	0.77	0.496
gun	500	195	0.898	0.774	0.837	0.658
fire	500	151	0.798	0.722	0.744	0.349
rifle	500	299	0.808	0.726	0.73	0.481

Our volunteers are working on a better model. Checkout our Colab notebook in the repo.

Resources

1. After Uvalde: Could A.I. prevent another school shooting?
2. Seminole County Public Schools testing AI gun detection system on several campuses

Companies offer Gun Detection System.

1. ZeroEyes
2. Omnilert
3. Defendry
4. Athena Securities