Abstract
Limiting gun violence has become a major concern in recent years. Deep Learning models can help reduce gun violence by automatically detecting weapons from security cameras. In this project, we will be implementing the use of Deep learning algorithms, to detect any firearms / weapons to improve response time and reduce potential harm. The proposed system in this project is a weapon detection system based on CNN. The project will involve the use of various resources for implementation, such as: Tensorflow, OpenCV, Python, CNN, Google Colab, Numpy, Pandas
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