Description
The AndroidMINI PC is a high-performance, low-power intelligent edge computing device designed to provide enterprises with real-time,
efficient AI processing capabilities. The product uses advanced processors and deep learning algorithms,
which are suitable for various edge computing scenarios and help enterprises achieve intelligent upgrading.
| Support multiple deep learning frameworks Support RKNN model import and export, support multiple deep learning frameworks such as Ten sorFlow, TensorFlowLite, PyTorch, Darknet, ONNX, Caffe, etc., and support custom operator development. | |
| RK3576 Eight core 64 bit AIoT processor | 4K@120 Fps high frame rate Video decoding | Support private deployment of large language models | Support multiple deep learning frameworks |
| Core parameters | Model | CNV-3576P |
| OS | Android 14 | |
| CPU | RK3576 | |
| NPU | 6T | |
| ROM | 32GB/64GB | |
| RAM | 4GB/8GB | |
| Display interface | HDMI OUT | 2160P |
| Network | LAN | 1000M*2 RJ45 |
| 4G SIM | optional | |
| WiFi | WiFi6 | |
| Bluetooth | BT5.4 | |
| External Interface | USB | 2.0*2/3.0*2 |
| Audio Interface | 3.5mm*2，LineIN*1，LineOUT*1 | |
| COM | DB9*1(RS232,RS485,CAN) | |
| KEY | PWR,SW | |
| power input | DC12-24V（±10%） | |
| Environmental parameters | operation temperature | 0℃~60℃ |
| Working humidity | 8%~90%RH | |
| storage temperature | -20℃~70℃ | |
| Storage humidity | 10%~95%RH Suggest storing at room temperature | |
| Appearance information | Appearance color | Black matte |
| Installation method | Horizontal placement or wall hanging | |
| size | 136(H)*126.2(W)*43(D)mm | |
| packing list | Android computer*1,The power adapter*1,Bracket(optional) |