So I do some AI tinkering using Intel Movidius sticks on the RPI as well as windows development, and saw that someone here made an AI plugin for DeepStackAI.
I found it in this guy's video:
DeepStackAI supports the Intel Movidius neural processor on the Raspberry PI (Alpha). The Intel Movidius can be used in windows just as easily and I see that the project is open source.
So I was wondering - Do you all think I could run Blue Iris + the AI detection on an i3 processor w/ 16gb of ram?
What I would do is fork the current project on GitHub ( VorlonCD/bi-aidetection: Alarm system for Blue Iris based on Artificial Intelligence. (github.com) ), and add native support for the Intel Movidius in windows to the project.
Of note, for me, is I'd be motivated to get the Gen 1 sticks working (would probably have to use a different network, but who cares if it works - YOLO would probably work just fine!) - because the Gen 1 sticks are slower, they're cheaper and easier to find.
My thinking is if all the detection is being done by the AI, the CPU / memory requirements would be lower?
I have a remote cabin with cell based internet access so sending to the cloud isn't an option, so running the AI locally is the way for me.
Does anyone have experience with this? What's your experience?
My specs would be an i3 based Intel NUC, 16GB of RAM, SSD for m.2 for boot, 2TB+ 2.5 inch for storage, and an intel Movidius + 3 foscam 1080p wifi cameras.
This way - I'd only get an alert through my LTE connection if a person was on the property, so my LTE data wouldn't be burned up.
I'd be very thankful for any feedback & suggestions on this.
I found it in this guy's video:
DeepStackAI supports the Intel Movidius neural processor on the Raspberry PI (Alpha). The Intel Movidius can be used in windows just as easily and I see that the project is open source.
So I was wondering - Do you all think I could run Blue Iris + the AI detection on an i3 processor w/ 16gb of ram?
What I would do is fork the current project on GitHub ( VorlonCD/bi-aidetection: Alarm system for Blue Iris based on Artificial Intelligence. (github.com) ), and add native support for the Intel Movidius in windows to the project.
Of note, for me, is I'd be motivated to get the Gen 1 sticks working (would probably have to use a different network, but who cares if it works - YOLO would probably work just fine!) - because the Gen 1 sticks are slower, they're cheaper and easier to find.
My thinking is if all the detection is being done by the AI, the CPU / memory requirements would be lower?
I have a remote cabin with cell based internet access so sending to the cloud isn't an option, so running the AI locally is the way for me.
Does anyone have experience with this? What's your experience?
My specs would be an i3 based Intel NUC, 16GB of RAM, SSD for m.2 for boot, 2TB+ 2.5 inch for storage, and an intel Movidius + 3 foscam 1080p wifi cameras.
This way - I'd only get an alert through my LTE connection if a person was on the property, so my LTE data wouldn't be burned up.
I'd be very thankful for any feedback & suggestions on this.