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Neat, I was looking for exactly something like this to run person detection! I'm using yolov3-tiny, not quite a new but very lightweight computer vision ML mode
by yu3zhou4 2y ago
Neat, I was looking for exactly something like this to run person detection! I'm using yolov3-tiny, not quite a new but very lightweight computer vision ML model, and just right now I'm trying to maximize performance of inference with C++, to perform real-time person detection around my house (I want to know when someone enters the parcel at night so a siren and lights can turn on automatically to deter the intruder) - https://github.com/jmaczan/yolov3-tiny-openvino https://github.com/jmaczan/yolov3-tiny-openvino
- 6510 2y agoMade me think of alarms randomly going of in the middle of the night. Then had this thought, imagine triggering lights and siren gradually as one approaches. That way it can trigger much earlier and give a could-be intruder enough signal to stay away. I suspect gradual adrenaline in a feedback loop is more effective too. A sudden effect only needs to be considered once.
- yu3zhou4 2y agoThis is interesting approach! I'd be worried that they would manage to hide in some camera dead zones if I don't react with all-in (siren, all lights etc) quickly enough