Student Work

AWeD: Automatic Weapons Detection

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The goal of this project is to design an integrated system that allows for fast and reliable processing of high quality video data and in doing so detect and react to the presence of a firearm or other weaponry when used in a threatening or dangerous manner. This is accomplished through the combined use of computer vision processing techniques implemented on an FPGA as well as a convolutional neural network trained to determine the presence of a threat.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
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Identifier
  • E-project-042717-125304
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Year
  • 2017
Date created
  • 2017-04-27
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