Jun 3, 2022 · weapon detection python opencv with yolov5. a mini project aiming to detect weapons in real time through cameras and notify authorities in instant. This project proposes a software solution with face recognition and weapon detection to improve perimeter security.

This project utilizes the YOLOv3 (You Only Look Once) algorithm for real-time weapon detection. The code supports two modes of operation: Webcam-based weapon detection: Uses the webcam to detect weapons in real-time. Video file-based weapon detection: Uses a pre-recorded video file to detect weapons.

Jun 1, 2023 · Python Code for Detection of Guns using OpenCV . OpenCV comes with a trainer as well as a detector. If you want to train your own classifier for any object like a car, plane, etc. We can use OpenCV to create one. Here we are only dealing with the detection of Guns. First, we need to load the required XML classifiers.

Jun 25, 2024 · Weapon Detection using Deep Learning - A Python Project utilizing YOLOv8 for real-time image, video, and webcam analysis to enhance security measures.

Apr 11, 2023 · Design and implement a weapon detection algorithm from scratch using YOLOv7. YOLOv7 (You Only Look Once version 7) is a popular object detection model in computer vision, known for its speed and...

May 13, 2024 · Automatic Detection: Utilizes detect_auto.py to perform automatic handgun detection on a dark video. This command uses a specific set of weights, sets the confidence threshold, defines the...

One such innovative solution is the development of an enemy detection system that integrates facial recognition, real-time surveillance, autonomous navigation, and automated weapon delivery.

Explore Python code that detects weapon types and displays their attachments in a user-friendly interface.

Sep 9, 2020 · Although we implement the logic here, there are many areas for which it is different so that it can be useful for our specific problem – detecting weapons. The project uses 6 basic steps: When creating a bounding box for a new image, run the image through the selective search segmentation, then grab every piece of the picture.

Dec 5, 2019 · AI-driven weapon detection system for real-time surveillance. Developed on TensorFlow, achieved precision of 0.8524 and 0.7006 at IoU 0.50 and 0.75. Utilizes key frame extraction and SSD-MobileNet, enhancing efficiency. Developed on Windows 10, Python 3.7.3, and TensorFlow 1.14.0. Boosts security with low-cost, automated threat recognition.