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This Challenge is completed

NVIDIA® Jetson™ Developer Challenge

NVIDIA® Jetson™ Developer Challenge
  • Winners announced
  • Winners announced
prize pool $42,789

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Oct 23, 2017 - Feb 18, 2018 23:59 UTC
Voting: Feb 19 - Mar 04, 2018 23:59 UTC
  • Challenge outline
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NVIDIA® Jetson™ Developer Challenge
  • Challenge outline
  • Resources
  • Participants
  • Projects
  • FAQ
  • Results
  • Updates
  • Rules

MN

Marcus Nilsson

Added: Jan 24, 2018

Marcus, Peter, Pawel, John, Henrik

TAGS

  1. Manufactoring, Machine Learning, Smart Camera

TYPE OF PROJECT

Physical Camera

WWW

www.gimic.se

VOTES: 0 LIKES: 0

Cognitive scanner for quality inspection

  • play
  • Cognitive scanner for quality inspection
  • Cognitive scanner for quality inspection
  • Cognitive scanner for quality inspection
  • Cognitive scanner for quality inspection
  • pdf

    Project description

    We have created a cognitive scanner for quality inspection. The solution is built around the Nvidia Tx1 devkit with 2 cameras connected to cover as much as possible from the produced item.

    Our cameras has builtin led light to make the classification as consistent as possible. The cameras are easy to adjust by using flexible arms.

    The cameras are easy to connect to by Wifi. HDMI and USB ports are available at the side of the cabinet.
    Two push buttons are available to make it easy to start and stop.

    The cameras are filming in 30 FPS in a resolution of 12 MP. This is possible by our custom software stack. Each camera is running its own inference engine, the classification result is then sent to our platform called Skyraid.

    The inference engine is built with Cuda and TensorRT for maximum performance.

    The Skyraid platform is built to be the control plane of the solution. It receives the events from each camera and then routes the events to the correct configured application. The application can then make the decision if a relay ouput should be set or just a email should be sent.

    Our team consist of

    Marcus, Programming / Electrical Engineering
    Pawel, Mechanical / Electrical Engineering
    Peter, Business Developer
    John, Customer with domain knowledge
    Henrik, Photo and movie

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