Recognize stop signs and other safety-related objects from photos using Microsoft Azure Cognitive Services! Upload an image and find out whether there are safety concerns to be aware of.

• image detection
• computer vision

Sample images are provided in the public/img folder.

I kept the layout intentionally simple because it is a tech demo.

• Machine learning API: Microsoft Azure Cognitive Services
• • Computer Vision
• JavaScript & EJS
• HTML / CSS

• I learned that Azure's off-the-shelf computer vision counts every road sign as "stop sign".
• This might change or improve over time, and since this app gets classification by API, it will be automatically reflected as changes are made.

Other possible updates may include:

• Use Cognitive Services for OCR, optical character recognition, to read signage
• Recall images from a library
• Open text input to check for custom keywords
• Overlay rectangles over objects, using CSS
• Layout improvements

npm install

• Create a config folder with a .env file and add the following as key = value
  • PORT = 2121 (can be any port example: 3000)
  • CLOUD_NAME = your cloudinary cloud name
  • CLOUD_API_KEY = your cloudinary api key
  • CLOUD_API_SECRET = your cloudinary api secret
  • MS_COMPUTER_VISION_SUBSCRIPTION_KEY = your Microsoft Subscription Key
  • MS_COMPUTER_VISION_ENDPOINT = your Microsoft Computer Vision Endpoint
  • MS_FACE_ENDPOINT = your Microsoft Face Endpoint
  • MS_FACE_SUB_KEY = your Microsoft Face Key

• npm start
• Go to http://localhost:2122
• If you need example images to try it out, navigate to public/img/