Attributes

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 Network Accelerator
Memory Support	Up to 4GB LPDDR4/LPDDR4X
Storage Options	eMMC 5.1, SD Card Slot, SPI Flash
Display Interfaces	HDMI 2.0, MIPI DSI, LVDS, RGB LCD
Camera Interfaces	2x MIPI CSI, 1x DVP
Connectivity	Dual Gigabit Ethernet, Wi-Fi 5, Bluetooth 5.0
Expansion Ports	PCIe 3.0, USB 3.0, USB 2.0, CAN Bus, RS485
Operating Temperature	-20°C to +70°C (Industrial Grade)
Power Supply	5V DC via Type-C or Terminal Block

6 reviews

Anonymous

Mar 30, 2026

Rating: 4/5

Solid choice for HMI applications

Using this for a factory Human Machine Interface. The display output is crisp and the touch response is low latency. Would prefer if the WiFi antenna connector was external by default.

Anonymous

Mar 11, 2026

Rating: 5/5

Perfect for edge AI projects

I needed a board with decent NPU capabilities without breaking the bank. This fits the bill perfectly. Video inference runs at acceptable frame rates for our security camera prototype.

Anonymous

Mar 10, 2026

Rating: 5/5

Great learning platform

As a student moving from Raspberry Pi to more industrial hardware, this board was easy to get started with. The community examples for the NPU were very helpful.

Anonymous

Mar 06, 2026

Rating: 5/5

Excellent value for industrial prototyping

The RK3562J board offers a great balance between performance and cost. The NPU works smoothly with our TensorFlow Lite models, and the dual Ethernet ports are perfect for our gateway application.

Anonymous

Mar 03, 2026

Rating: 4/5

Good documentation, minor setup quirks

Overall a solid board. The hardware is robust and the pinout is clearly labeled. Had some initial trouble with the Yocto build environment, but support helped resolve it quickly.

Anonymous

Mar 02, 2026

Rating: 4/5

Reliable for long-term testing

Been running this board continuously for three weeks in a temperature-controlled chamber. No crashes or thermal throttling observed. The industrial grade components seem genuine.

5 FAQ

Q: Is the source code for the BSP available?

A: Yes, we provide open-source U-Boot, Kernel, and rootfs sources on our GitHub repository linked in the product wiki.

Q: What is the maximum resolution supported on the HDMI output?

A: The HDMI 2.0 interface supports up to 4K resolution at 60Hz. It is also backward compatible with 1080p displays.

Q: Does this board support Android 12 or higher?

A: Yes, the RK3562J officially supports Android 12 and Android 13. BSP packages are available upon request from our download portal.

Q: Can I power this board directly from a 12V industrial supply?

A: No, the board requires a stable 5V input. Connecting 12V directly will damage the PMIC. Please use a step-down converter or a dedicated 5V power adapter.

Q: Does the NPU support PyTorch models directly?

A: The NPU typically requires models to be converted to RKNN format. We provide tools to convert models from PyTorch, TensorFlow, and Caffe to RKNN.

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