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Home Page: https://developer.ibm.com/patterns/iot-devicesensor-damage-detection-with-edge-analytics
Analyze real-time CCTV images with Convolutional Neural Networks
Home Page: https://developer.ibm.com/patterns/iot-devicesensor-damage-detection-with-edge-analytics
This project looks very interesting. I am interested in how long the detection takes since I am looking for near real time performance. With the detection performed by Darknet / YOLO does that take many seconds or is it much more responsive? It does not appear that there is a GPU being used which makes me think the detection phase might be quite slow.
I am asking all this as I am looking for a solution for my home automation. I would like to know near real time whether there is a person detected on my front door camera or if a car has arrived on my driveway. I can handle all that if as an example any detections were dropped into MQTT or some other mechanism.
I do have an NVIDIA CUDA card I could use if the Darknet / YOLO ran at my location instead of in the cloud.
Thank you!
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