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M7J
M7J is equipped with Rockchip 64-bit processor RK3568J which is configured with dual-core GPU and high-performance NPU, supporting up to 8G RAM. It supports WiFi 6,5G/4G and other high-speed wireless network communications. Having different video input and output interfaces, it is suitable for scenarios such as smart NVR, cloud terminal, IoT gateway and industrial control.It supporting long and stable operation over a wide temperature range from -40°C to 85°C and having various of interfaces. With stable and reliable performance, it can be widely used in industrial equipment.
Feature
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Efficient and stable processin
The quad-core 64-bit Cortex-A55 processor, with 22nm lithography process, has frequency up to 2.0GHz, delivering efficient and stable performance for data processing of back-end equipment. There are a variety of storage options, allowing customers to quickly implement the research and production of products.
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Integrated processor - GPU, VPU, NPU
Integrated dual-core architecture GPU, high-performance VPU and high-performance NPU. The GPU supports OpenGLES3.2/2.0/1.1，Vulkan1.1. The VPU can achieve 4K@60fps H.265 / H.264 / VP9 video decoding and 1080P@60fps H.265 / H.264 video encoding. The NPU supports one-click switching of mainstream frameworks like Caffe / TensorFlow.
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Multiple interfaces
With HDMI2.0, USB3.0, USB2.0, MIPI DSI, MIPI CSI, I2C, UART, GPIO, I2S and other interfaces, it can be directly applied to external device control and expansion.
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Stable PCBA quality
The board adopts 8-layer wiring technology and immersion gold technology, stable and reliable performance, suitable for different application environments.
Specifications
| parameter | |
|---|---|
| Chip |
|
| CPU |
Quad-core 64-bit ARM Cortex-A55 processor, 22nm advanced technology, main frequency up to 2.0GHz |
| GPU |
Support ARM G52 2EE Support OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1 Embedded high-performance 2D acceleration hardware |
| NPU |
0.8Tops@INT8 performance, integrated high-performance AI accelerator RKNN NPU Support Caffe/TensorFlow/TFLite/ONNX/PyTorch/Keras/Darknet/MXNet mainstream architecture model one-click conversion |
| VPU |
Support 4k 60fps (H.265/ H.264/ VP9) video decoding Support 1080P 100fps H.265/H.264 video encoding Support 8M ISP with HDR |
| RAM |
2GB/4GB/8GB DDR4 32Bit wide, frequency up to 1600MHz, support full link ECC |
| Storage |
Support 16GB/32GB/64GB/128GB eMMC 5.1 Support M.2 PCIe 3.0 × 1 Support SATA 3.0 × 1 (extend 2.5 inch SSD/HDD) Support SD card x1 (extended SD/TF card) |
| Hardware features | |
|---|---|
| Ethernet |
Support dual Gigabit Ethernet（1000Mbps） |
| Display |
Support multi-screen different display, up to three-screen different display output 1 × HDMI2.0, support 4K@60fps 1 × LVDS/MIPI-DSI 1 × EDP1.3, support 2560×1600@60fps output |
| Audio |
1 × HDMI audio output 1 × headphone output 1 × microphone input interface 1 × speaker interface (Support class-D PA to drive speaker, 1.3W) |
| USB |
1 × TYPEC 1 × USB 3.0 Host 2 × USB 2.0 Host |
| webcam |
3 × MIPI-CSI camera input |
| Interfaces |
Multiple UART, I2C, I2S, SDMMC, GPIO |
| OS/Software | |
|---|---|
| OS |
Android/Linux/Debian |
| Others | |
|---|---|
| Size diagram |
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| Dimensions |
90mm*65mm |
| Operating Temperature |
-40℃-85℃ |
| Storage temperature |
-40℃-85℃ |
| Storage Humidity |
10%-80 % |
| PCB specifications |
8-layer board design |
| Application | |
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| Data sheet | |
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