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Object detection via Meraki Camera

published

Demo : http:https://3.16.79.183:8088/

Image object detection via Meraki Camera snapshot API in browser.

Using YOLO(You only look once) real-time object detection built-in ML5.js (based on Tensorflow.js) to detect images returned from Meraki Snapshot API.

Related technologies

  1. Meraki MV camera and snapshot API (/networks/[networkId]/cameras/[serial]/snapshot)
  2. ML5.js and Tensorflow.js
  3. Flask and p5.js

How to run this demo

config

  1. Replace MERAKI_API_KEY in the app.py to your Meraki API Key
  2. Replace network_id in static/sketch.js and app.py to camera network id
  3. Replace camera_serial in the static/sketch.js to the camera serial number

Run

  1. Execute python3 app.py at the root folder
  2. Open http:https://0.0.0.0:8088/ with the Chrome browser

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Image object detection via Meraki Camera snapshot API in browser.

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  • Python 46.4%
  • JavaScript 36.1%
  • HTML 15.5%
  • Dockerfile 2.0%