Weapon Detection using Open CV
This project demonstrates a real-time weapon detection application using Streamlit and OpenCV. Users can log in with a username and password.
Created on 9th June 2024
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Weapon Detection using Open CV
This project demonstrates a real-time weapon detection application using Streamlit and OpenCV. Users can log in with a username and password.
The problem Weapon Detection using Open CV solves
This weapon detector offers a real-time visual aid for potentially identifying weapons in a video stream. It utilizes Streamlit for a user-friendly interface and OpenCV for computer vision processing. While it relies on a pre-trained classifier (whose accuracy may vary), it can be a starting point for exploring weapon detection concepts. Remember, this is for demonstration purposes only, and secure password storage is crucial for real-world applications.
Challenges we ran into
The main challenges in building this project revolved around balancing clarity, security considerations, and limitations of pre-trained models:
Security vs. Demonstration: Highlighting the importance of secure password storage and user authentication in real-world scenarios, while keeping the code clear for demonstration purposes with a plain text password.
Pre-Trained Classifier Accuracy: Emphasizing the potential limitations of pre-trained weapon classifiers and the need for evaluation in your specific use case, as accuracy can vary.
Clarity vs. Comprehensiveness: Striking a balance between providing clear instructions for basic functionality and acknowledging the complexities involved in real-world weapon detection systems