WEAPON DETECTION USING PYTHON

[Damini2004]

Is your feature request related to a problem? Please describe. The problem is the lack of an efficient and accurate system for detecting weapons in images or videos, which is a critical task in various applications such as security surveillance, law enforcement, and border control.

Describe the solution you'd like A weapon detection system using Python that can accurately identify and classify weapons in images or videos. The system should be able to detect various types of weapons, including handguns, rifles, knives, and explosives, and provide a confidence score for each detection.

Describe alternatives you've considered Using pre-trained object detection models such as YOLO, SSD, or Faster R-CNN, which can be fine-tuned for weapon detection Implementing a custom convolutional neural network (CNN) architecture for weapon detection Utilizing transfer learning from existing weapon detection models Using traditional computer vision techniques such as edge detection, shape analysis, and texture analysis

Approach to be followed (optional) Data Collection: Collecting a large dataset of images or videos containing weapons and non-weapons Data Preprocessing: Preprocessing the dataset by resizing images, normalizing pixel values, and data augmentation Model Selection: Selecting a suitable object detection model or architecture and fine-tuning it for weapon detection Model Training: Training the model using the preprocessed dataset and evaluating its performance using metrics such as precision, recall, and F1-score Model Deployment: Deploying the trained model in a Python application for real-time weapon detection

Additional context The system should be able to detect weapons in various scenarios, including:

Different lighting conditions Various angles and orientations Occluded or partially hidden weapons Weapons in complex backgrounds

[LEVIII007]

I'd like to request ownership of this project. I plan to use YOLO or SSD. I will work on both and see which one works best to differentiate between people with guns, knives, normal people, and pistols. I plan to merge some existing datasets to include guns, explosives, rifles, and knives in dataset. My approach involves data preprocessing, model training, analysing results and building an inference pipeline for real-time detection. Please assign it to me. Thank you

[Laxmanpratapsingh]

I would like to work on this, please assign this to me