Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | Rockchip RK3562J Quad-Core Cortex-A53 up to 2.0GHz |
| NPU Performance | 1 TOPS INT8 Neural Processing Unit for AI inference |
| Memory | 2GB LPDDR4 RAM (Optional 4GB/8GB configurations) |
| Storage | 8GB eMMC 5.1 onboard, supports MicroSD expansion |
| Operating Temperature | -20°C to +70°C for industrial environments |
| Video Output | 1x HDMI 2.0 (up to 4K@60Hz), 1x MIPI-DSI |
| Connectivity | Dual Gigabit Ethernet, Wi-Fi 5, Bluetooth 5.0 |
| Expansion Interfaces | 2x CAN FD, 2x RS485, PCIe 2.0, USB 3.0 Host |
| Power Supply | DC 5V/3A via Type-C or header pin input |
| Dimensions | 85mm x 55mm compact form factor |
Anonymous
Mar 30, 2026
Rating: 4/5
Good value, runs cool
Impressed by the thermal management. Even under full CPU load for several hours, the board stays relatively cool without an active fan. The 4K HDMI output is crisp and stable.
Anonymous
Mar 19, 2026
Rating: 5/5
Robust connectivity options
The dual CAN FD ports were a dealbreaker for us, and this board delivers. We replaced a more expensive competitor board with this one and saw no loss in performance for our vehicle telemetry system.
Anonymous
Mar 19, 2026
Rating: 5/5
Perfect for learning embedded Linux
As an educator, I found this board perfect for teaching students about ARM architecture and Yocto Project builds. It's affordable enough to buy in bulk for a classroom setting yet powerful enough for real projects.
Anonymous
Mar 11, 2026
Rating: 4/5
Great hardware, documentation needs work
The board itself is solid and boots quickly. The industrial temperature range gives me confidence for our factory deployment. However, some of the English documentation for the GPIO mapping could be more detailed.
Anonymous
Mar 09, 2026
Rating: 5/5
Seamless migration from RK3399
Migrating our legacy code from older Rockchip boards was straightforward. The community support is growing, and the Tronlong team was responsive when we had questions about the device tree configuration.
Anonymous
Mar 07, 2026
Rating: 5/5
Excellent alternative to the RK3568
We needed a cost-effective solution for our edge AI gateway project. The RK3562J performs remarkably well, handling our lightweight object detection models without breaking a sweat. The NPU integration is smooth with the provided SDK.
Q: Can I use a standard Raspberry Pi camera module with this?
A: No, this board uses a MIPI-CSI interface that is not electrically compatible with standard Raspberry Pi camera modules without a specific adapter. We recommend using cameras listed in our compatibility guide which utilize the native Rockchip ISP.
Q: What is the exact power consumption under typical load?
A: Under typical operating conditions with the CPU at 50% load and peripherals active, the board consumes approximately 2.5W to 3.5W. Peak consumption may reach 5W when the NPU and GPU are fully utilized.
Q: Do you provide a pre-compiled SDK for the NPU?
A: Yes, we provide a comprehensive SDK that includes the RKNPU toolkit, sample codes for TensorFlow Lite and ONNX models, and documentation on how to quantize and deploy models efficiently on the 1 TOPS NPU.
Q: Is the eMMC storage replaceable or upgradeable?
A: The eMMC chip is soldered directly onto the PCB and is not user-replaceable. However, you can expand storage significantly via the onboard MicroSD slot or by connecting NVMe/SATA drives through the PCIe/SATA interfaces.
Q: Does this board support Android 12 or only Linux?
A: The RK3562J primarily targets industrial Linux distributions (Ubuntu, Debian, Buildroot). While Android support exists for the RK356x series, specific Android images for the RK3562J variant should be confirmed directly with Tronlong support for your specific use case.
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