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Weapon Detection System Using CNN FLask Web app

Posted on December 8, 2023January 21, 2024 by Yugesh Verma

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ML powered system for detecting weapons within images

Business Problem

Mass shootings have become increasingly prevalent at public gatherings

Creating an algorithm that that be integrated into traditional surveillance systems can be used to detect threats faster and more efficiently than those monitored by people
In modern surveillance systems, there is a person or group of people, in charge of watching monitors which can span across multiple floors of a given area

Violence on social media platforms such as Youtube, Facebook, and TikTok

An algorithm that integrate itself into traditional upload systems can detect violent videos before they are spread on a given website
Considering the graphs below, the United States ranks among the top 5 countries in terms of firearm deaths
- Total Deaths Data
- Mass Shootings Data

Solution

Create a neural network that can be integrated into traditional surveillance systems
This neural network will be able to detect whether a firearm is present in a frame, and if so, it will notify authorities/managers of its detection

Requirements

keras (PlaidML backend --> GPU: RX 580 8GB)
numpy
pandas
opencv (opencv-contrib-python)
matplotlib
beautifulsoup

Datasets

Data used in this project can be found on my Google Drive
- Weapons
- No Weapons

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