Electronic component detection system with server: Nazar Server
Nazar is an app built with react-native with a little spice of Tensorflow InveptionV3 which allows the user to take a picture using the camera or fetch image from gallery to identify the component with the predicted percentage ratio, thus using image processing and algorithm to segment them after detection along with fetching description about the detected component using Octopart API whose response is sent from the nazar-server itself.
It is done with both Clarifai API and Tensorflow frozen graph server deployed in heroku to deduce with internet along with option to look for feeds from internet within the app. The Option to fetch the details about detected component is setup but needs furnishing.
Run both on iOS and Android
Clone the source locally:
$ git clone https://github.com/aryaminus/nazar
$ cd nazar
Start the application in development mode
npm install
react-native link
react-native run-android
react-native run-ios
or for VS-Code:
npm install
react-native link
then press F1 or Fn+F1 and React Native:Run Android on Device or React Native:Run iOS on Simulator
- Fork it (https://github.com/aryaminus/nazar/fork)
- Create your feature branch (
git checkout -b feature/fooBar) - Commit your changes (
git commit -am 'Add some fooBar') - Push to the branch (
git push origin feature/fooBar) - Create a new Pull Request