README.md

Go application using Machine learning through facebox, a machinebox.io facial recognition tool and gocv, a library offering bindings for OpenCV, which leverages image parsing in videos.

Features

• A web client written in react.

  • To upload image files to the server
  • To configure voice responses coming soon
  • To configure actions to be taken coming later but soon

• An Image API written in GO

  • Serve the web client
  • Process Post requests
  • Detect faces in picture
  • Crop faces from pictures
  • Teach them to Facebox

• A Raspberry Pi Webcam Application written in GO

  • To recognize faces taught through the web client
  • To execute actions triggered by voice (send sms, mails, add to shopping-list, etc...)

Roadmap

Web

Requirements

• 👌 Host Facebox on Google Cloud.
• 👌 Create a web client form to upload images
• 👌 Create a web server to receive images from the client
• 👉 Check and Teach images to Facebox
• 👉 Convert and store images in Base64 on Google Storage
• 👉 Add a programmable action interface
• 👉 Add a general config interface
• 👉 Find web hosting
  • 👉 Firebase : would mean dropping Go SPA web server solution
  • 👉 Google AppEngine : Costs ?
• 👉 Find cheaper facebox hosting

Machine

• 👌 Create a program to recognize taught faces through webcam
• 👌 Use google speech api to greet user when a face is matched
• 👌 Program answers depending on user response to greeting
• 👉 Program actions depending on user response
• 👉 Use remote config to activate actions and industrialize process

Contributing

If you too are interested in learning golang by doing funny/black-mirror-like things, feel free to fork and push your PR !