Weapon Detection System Using CNN FLask Web app

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ML powered system for detecting weapons within images

Business Problem

  1. 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
  1. 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

Solution

  1. Create a neural network that can be integrated into traditional surveillance systems
  2. 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

  1. keras (PlaidML backend --> GPU: RX 580 8GB)
  2. numpy
  3. pandas
  4. opencv (opencv-contrib-python)
  5. matplotlib
  6. beautifulsoup

Datasets

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