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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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SEE RESULTS

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

LS

Lavanya Seetharaman

Added: Oct 27, 2017

Lavanya Seetharaman
Ritvij Saxena
Sanjay B.S
Gaurav

TAGS

  1. Visually Impaired People , CNN , Deep Learning , Smart Phones , Android ,
  2. Social , Society, People

TYPE OF PROJECT

APP

VOTES: 1 LIKES: 2

AiSight - A Smart Eye

  • AiSight - A Smart Eye
  • AiSight - A Smart Eye
  • AiSight - A Smart Eye

    Project description

    The Existing aids and equipment for the visually impaired, only aid them  to an extent where they can survive the world with ease, but, doesn’t provide sight or help them see what a normal person can see. With an Android application which helps detect objects, recognize text and identify color, it would help them see the world to an extant more than they can by helping them identifying an object or the color of the object or any normal text present in them. We have come up with a prototype of an android application, which scans for the image dynamically and recognize its content based on the module the user is using and retrieve the type of object, or color or text.The application software is trained with massive real-time dataset using Deep Convolutional Neural Network and other Machine learning Algorithms and APIs, such as tensor flow and Open-CV. When an object is scanned, it matches the object from the dataset using the training algorithm and then converts the result to text and later to speech. Since the use of smartphones is extant, it is simple to implify this model and hence makes it more feasible.

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