The CAM-3576Q38 uses Rockchip's octa-core 64-bit AIoT processor RK3576, integrating an NPU with 6 TOPS of computing power, supporting the private deployment of mainstream large-scale AI models and various deep learning frameworks. It also supports 4K@120fps decoding and 4K@60fps encoding, and provides 4K@120fps high-definition, high-frame-rate display capabilities.

| SOC |
CAM-3576MQ38: Rockchip RK3576M |
|---|---|
| CPU |
|
| GPU |
G52 MC3@1GHz, support OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1, embedded with high-performance 2D acceleration hardware |
| NPU |
6 TOPS NPU, It supports INT4/INT8/INT16/FP16/BF16/TF32 operations, supports dual-core collaborative or independent work, and supports multi-task and multi-scene parallelism |
| RAM |
LPDDR4/LPDDR4x/LPDDR5 (4GB/8GB/16GB optional) |
| STORAGE |
eMMC (16GB/32GB/64GB/128GB/256GB optional) |
| STORAGE EXPANSION |
1 x TF Card |
| WIRELESS |
1 WiFi module on board, supporting 2.4GHz/5GHz dual-band WiFi6 (802.11a/b/g/n/ac/ax) |
| POWER |
DC 12V (Connected via 8P-1.25mm Wafer connector) |
| OS |
|
| DIMENSION |
38.09mm × 38.11mm × 11.54mm |
| WEIGHT |
≈21g |
| ENVIRONMENT |
CAM-3576Q38: Operating Temperature: -20℃- 60℃ CAM-3576JQ38/3576MQ38: Operating temperature: -40℃~85℃ |
| ETHERNET |
1 × 100M Ethernet (Led out via 8P-1.25mm Wafer connector) |
| BUTTON |
1 × Reset, 1 × MaskRom |

