YKR-RK3568 (Core + Base Board)
| CPU | Rockchip RK3568 |
| Architecture | Quad-core ARM Cortex-A55 |
| Clock Frequency | Up to 1.8 GHz / 2.0 GHz |
| Memory | 1 GB / 2 GB / 4 GB DDR44 GB / 8 GB LPDDR4X |
| Storage (ROM) | 8 GB / 16 GB / 32 GB / 64 GB / 128 GB / 256 GB eMMC |
| Operating System | Android 11, Linux, Ubuntu, Debian 11, OpenHarmony 4.1 |
Rockchip RK3568 Android Board YKR-BP3568-V1 adopts a core board plus expansion interface board design. The expansion board is customizable, facilitating customer modifications and secondary development. It is suitable for applications in artificial intelligence, facial recognition, smart displays, IoT gateways, and industrial inspection, primarily including facial payment systems, industrial robots, tablet computers, security surveillance, medical equipment, self-service terminals, turnstile access control systems, and in-vehicle infotainment systems.
The YKR-BP3568-V1 utilizes Rockchip’s RK3568 controller, integrating a quad-core Cortex-A55 processor based on the new Armv8.2-A architecture for enhanced performance.
The GPU adopts a dual-core Mali-G522EE architecture, supporting 4K and 1080P decoding, along with CBR/VBR, FxOp, AVBR, and QpMap encoding, plus ROI encoding. The graphics API supports OpenGL ES 3.2, 2.0, 1.1, and Vulkan 1.1, with a maximum clock speed of 20GHz.
The YKR-BP3568-V1 integrates a high-performance neural processing unit (NPU), boasting a maximum computing power of 1 TOPS (trillion operations per second). It effortlessly delivers one trillion operations per second at ultra-low power consumption, enabling seamless acceleration for artificial intelligence computing and deep learning tasks, as well as smooth execution of lightweight AI algorithms.
Product Specification:
| Category | Specification |
|---|---|
| CPU | Rockchip RK3568, Quad-core 64-bit ARM Cortex-A55, 22 nm process, up to 2.0 GHz |
| GPU | ARM Mali-G52 2EESupports OpenGL ES 1.1 / 2.0 / 3.2, OpenCL 2.0, Vulkan 1.1Integrated high-performance 2D graphics accelerator |
| NPU | Integrated RKNN AI accelerator, up to 1 TOPS @ INT8 / INT16 |
| VPU | Video decoding: 4K @ 60 fps (H.265 / H.264 / VP9)Video encoding: 1080p @ 60 fps (H.265 / H.264)Supports 8 MP ISP and HDR |
| Memory | 2 GB / 4 GB / 8 GB LPDDR4 |
| Storage | 16 GB / 32 GB / 64 GB eMMC |
| Connectivity & Interfaces | |
|---|---|
| Ethernet | 2 × Gigabit industrial-grade Ethernet (RJ45) |
| Wireless | Dual-band Wi-Fi 2.4 GHz / 5.8 GHz |
| Display Interfaces | 1 × HDMI 2.0 (up to 4K @ 60 fps)2 × MIPI DSI (up to 1920 × 1080 @ 60 fps)1 × Dual-channel LVDS (up to 1920 × 1080 @ 60 fps)1 × eDP 1.3 (up to 2560 × 1600 @ 60 fps)Supports triple independent display output |
| Camera Interface | 1 × MIPI-CSISupports 1 × 4-lane 13 MP sensor or 2 × 2-lane 5 MP sensors |
| Audio Interfaces | HDMI audio outputStereo speaker output (L/R)3.5 mm headphone output (4-pole, CTIA standard)On-board microphone input |
| Expansion Interfaces | |
|---|---|
| USB | 3 × USB 3.04 × USB 2.0 |
| Serial Ports | 1 × Debug UART (UART2)2 × RS2321 × RS485 |
| CAN | 1 × CAN bus |
| Other Interfaces | 1 × Headphone1 × Speaker1 × Microphone1 × Power input connector (12V / 12V / GND / GND)1 × Touch Panel connector (I²C) |
| Environmental Conditions | |
|---|---|
| Operating Temperature | 0 °C ~ +70 °C |
| Operating Humidity | 0 ~ 90% RH, non-condensing |
| Storage Temperature | −40 °C ~ +85 °C |
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