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The ARMxy BL410 series is a versatile industrial ARM controller designed for flexible I/O configuration. It is based on the RK3568J/RK3568B2 processor, featuring aquad-core ARM Cortex-A55 architecture with clock speed up to 1.8GHz/2.0GHz. The device is equipped with 8/16/32GB eMMC storage and various combinations of 1/2/4GB LPDDR4X RAM. Additionally, it includes a built-in 1TOPS computing power Neural Processing Unit (NPU) for supporting deep learning tasks.
The BL410 series ARM embedded computer offers a rich array of interfaces including
1 x 1000Mhz Ethernet port, 2 x optional 100Mhz Ethernet ports, 2 x USB 2.0 ports, 1 x optional HDMI 2.0a port, 1 x optional X series IO board, 2 x optional Y series IO boards. These interfaces support various functions such as communication, PWM output, pulse counting, and data acquisition and control. The BL410 also supports hardware decoding of 1080P@60fps videos.
Additionally, it features a built-in Mini PCIe interface to support communication modules such as Bluetooth, WiFi, and 4G modules.
The BL410 series ARM embedded computers support Linux-4.19.232, Linux-RT-4.19.232 kernels, Debian-10.13, Android 13, Docker containers, Node-RED, and Qt-5.15.2 for graphical interface development tools. In addition, BL410 is compatible with BLIoTLink industrial protocol conversion software for data collection and transformation, and can seamlessintegration with various mainstream IoT cloud platforms and industrial SCADA software. Users can leverage the BLRAT for remote access and maintenance of the BL410 embedded computer. Additionally, with support for Node-Red, users can rapidly develop IoT applications on the BL410.
The BL410 series ARM embedded computer has undergone rigorous electrical performance design and high-low temperature testing to ensure stability and reliability. It is designed for DIN35 rail mounting, making it suitable for various industrial application environments.
This embedded computer is widely used in industrial IoT, photovoltaic power generation and energy storage systems, automation control, and transportation and rail applications.
Typical Application Areas
Industrial Control
Edge Computing
Data Acquisition
Energy Storage Systems
Photovoltaic Power Generation
IoT Gateway
Rail Transportation
Smart Devices
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