Uploaded November 2019 | Updated September 2026, 2 days ago
In this video, You Jun from Khadas Team demonstrates the VIM3's 5.0 TOPS (tera operations per second) NPU (neural processing unit), using the Yolo v3 object detection model! Watch the video to find out how to replicate this result on your own VIM3.
Many thanks to our developers who spent many tireless hours photographing, cleaning, tagging, and training the A.I model. Due to limited image data, it isn't perfect, but a good demonstration of what can be achieved with the Khadas VIM3's Amlogic A311D SoC.
In our next video, we will go into more depth as to how you can train your own A.I object detection models.
More information:
1. Download *this* NPU demo for your VIM3
forum.khadas.com/t/npu-demo-and-source-code/5938
2. Apply for VIM3 NPU Toolkit:
khadas.com/npu-toolkit-vim3
3. How to use the NPU:
docs.khadas.com/vim3/HowToUseNpu.html
Required items for this build:
1. "VIM3":
khadas.com/product-page/vim3
2. "VIM3L":
khadas.com/product-page/vim3l-bare-board
3. "USB Webcam"
* fast auto-focus / fixed focal length is preferred
4. "MIPI-CSI Camera for VIM3"
* to be updated into khadas.com/shop soon...
5. "Training PC"
Nvidia 1080ti
Intel Core i7 9800x
GPU Training:
1. Minimum graphics card requirement 8G (also known as GTX1080)
2. CPU, at least i7 9700
CPU Training (not recommended):
1. RAM can't be less than 16GB
2. At least 8 CPU cores
Credits:
1. Music:
YouTube Free Music Library, Digital Secrets
2. Videography:
twitter.com/tsangyoujun
Purchase a VIM3:
khadas.com/vim3
amzn.to/3GNchlI
In this video, You Jun from Khadas Team demonstrates the VIM3's 5.0 TOPS (tera operations per second) NPU (neural processing unit), using the Yolo v3 object detection model! Watch the video to find out how to replicate this result on your own VIM3.
Many thanks to our developers who spent many tireless hours photographing, cleaning, tagging, and training the A.I model. Due to limited image data, it isn't perfect, but a good demonstration of what can be achieved with the Khadas VIM3's Amlogic A311D SoC.
In our next video, we will go into more depth as to how you can train your own A.I object detection models.
More information:
1. Download *this* NPU demo for your VIM3
forum.khadas.com/t/npu-demo-and-source-code/5938
2. Apply for VIM3 NPU Toolkit:
khadas.com/npu-toolkit-vim3
3. How to use the NPU:
docs.khadas.com/vim3/HowToUseNpu.html
Required items for this build:
1. "VIM3":
khadas.com/product-page/vim3
2. "VIM3L":
khadas.com/product-page/vim3l-bare-board
3. "USB Webcam"
* fast auto-focus / fixed focal length is preferred
4. "MIPI-CSI Camera for VIM3"
* to be updated into khadas.com/shop soon...
5. "Training PC"
Nvidia 1080ti
Intel Core i7 9800x
GPU Training:
1. Minimum graphics card requirement 8G (also known as GTX1080)
2. CPU, at least i7 9700
CPU Training (not recommended):
1. RAM can't be less than 16GB
2. At least 8 CPU cores
Credits:
1. Music:
YouTube Free Music Library, Digital Secrets
2. Videography:
twitter.com/tsangyoujun
Purchase a VIM3:
khadas.com/vim3
amzn.to/3GNchlI
