21–30 of 83 posts
esp32-cam microcontroller costs around $6 and you have face detection build in. It have bluetooth and wifi and most of it's drivers code if not everything is on github. Only problem is you need to program it using arduino or other microcontroller hardware.
I've done this with a Jetson Xavier, 4 CCTV cameras and a PoE hub. You really want to use DeepStream and C/C++ for inference, not Python and TensorFlow. I'm streaming ~20 fps (17 to 30) 720P directly from my home IP4 address, and when a person is in-frame long enough and caught by the tracker, a stream goes to an AWS endpoint for storage. I've experimented with both SSDMobileNet and Yolo3, which are both pretty error…
Nice writeup but the Raspberry Pi isn't running tensorflow. It is mentioned in the article that the author is sending images to an edge machine. The big question I had was about hardware video encoding/decoding ... doesn't really cover that. I've found sending single image frames over zeromq to be fairly limiting if you care about high frame rate/low latency processing. Key issue I have run into is while many chips s…
This is where GStreamer normally steps in. A lot of hardware manufacturers provide a gstreamer plugin for their module. I’ve had experience with NVIDIA and atmel SoCs and that seemed to be the default path. Good luck with the gstreamer pipeline learning curve however!
I've done this with a Jetson Xavier, 4 CCTV cameras and a PoE hub. You really want to use DeepStream and C/C++ for inference, not Python and TensorFlow. I'm streaming ~20 fps (17 to 30) 720P directly from my home IP4 address, and when a person is in-frame long enough and caught by the tracker, a stream goes to an AWS endpoint for storage. I've experimented with both SSDMobileNet and Yolo3, which are both pretty error…
esp32-cam microcontroller costs around $6 and you have face detection build in. It have bluetooth and wifi and most of it's drivers code if not everything is on github. Only problem is you need to program it using arduino or other microcontroller hardware.
Face detection is nice but body/person detection is much more useful in these setups.
I've done this with a Jetson Xavier, 4 CCTV cameras and a PoE hub. You really want to use DeepStream and C/C++ for inference, not Python and TensorFlow. I'm streaming ~20 fps (17 to 30) 720P directly from my home IP4 address, and when a person is in-frame long enough and caught by the tracker, a stream goes to an AWS endpoint for storage. I've experimented with both SSDMobileNet and Yolo3, which are both pretty error…
Video guide: https://youtu.be/fwoonl5JKgo (Links in the comments of video as well)
[1] https://ipcamtalk.com/threads/tool-tutorial-free-ai-person-d... https://github.com/gentlepumpkin/bi-aidetection
For people running Blue Iris you can do something similar to this with blue iris, deepstack[0], and an exe[1] someone wrote that sends the images to deepstack. Video guide: https://youtu.be/fwoonl5JKgo (Links in the comments of video as well) [0] https://deepstack.cc/ [1] https://ipcamtalk.com/threads/tool-tutorial-free-ai-person-d... https://github.com/gentlepumpkin/bi-aidetection