Skip to content

Latest commit

 

History

History
13 lines (7 loc) · 463 Bytes

README.md

File metadata and controls

13 lines (7 loc) · 463 Bytes

Image Classifier with Raspberry Pi

Handwritten digit recogniser with Raspberry Pi and Sense HAT used to demonstrate neural networks to school students in London.

  • User draws a number on paper.
  • Uses PiNoir Camera to take a picture of the number.
  • The Raspberry Pi recognises this image and shows the user the number on the Sense HAT display.

Future Work

  • Extend model to one that can recognise and compute simple arithmetic expressions (5+2 etc).