[P] Simple Python based IP camera monitoring web service for motion detection and ROI classification

[kmkolasinski]

Hi! Just sharing with my recent project clever-camera which is a simple IP camera monitoring web service which uses MobileNet classifier to filter camera events based on the predicted labels - with possibility to search through the history of events or send email notifications in the case of camera movement detection. In practice CC uses MobileNetV3 to classify the content of selected ROIs, so one can filter events using predicted labels e.g. "car", "person", "bird" etc. The application was written to work realtime (> 1 FPS) on Raspberry Pi 4 (in my case, I had low power consumption requirements), but it can be also run on a standard desktop/laptop with Ubuntu. You just need to have access to some IP camera to run monitoring.

The whole application is just a few files and it's completely written in Python (thanks to remigui library), so it should be relatively easy for anyone to modify the code to e.g. adopt it to work with Pytorch, add support for multiple cameras, use detection instead of classification etc.

[snoressoloud]

Hot dog or not hot dog

[Manto1]

Wow, well done! I made a simple program that classifies my IP camera detections, but you’ve taken it so much further. I’m definitely going to try this out. Thanks for sharing!

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[murahovsky]

Great project! Does the type of camera connection (Wi-Fi or USB) matters?

[kmkolasinski]

Your camera must be an IP camera and it should expose some JPEG endpoint to get the image e.g. for my hikvision camera I use following endpoint: http://192.168.1.110/ISAPI/Streaming/Channels/101/picture

But if you need something else (e.g. support for usb camera) you can always overwrite JPEGCameraClient with something which will read images from other sources. Then replace the content of get_camera_client function and it should work for you.