Embedded Computer Vision Board
- AI engineers building deep learning models
- Robotics developers designing autonomous systems
- Manufacturers automating quality inspections
- Smart city planners for surveillance and traffic analysis
The LKD3399Pro Embedded Computer Vision Board is a high-performance AI edge computing solution designed for industrial vision applications. Powered by the RK3399Pro processor with a dual-core Cortex-A72 and quad-core Cortex-A53, it delivers robust processing at up to 1.8GHz. The integrated NPU (3.0 TOPS) accelerates AI workloads, supporting TensorFlow and Caffe models for real-time image processing. With 5x AHD camera inputs, Gigabit Ethernet, WiFi5, 4G, HDMI, and extensive I/O, it ensures seamless connectivity. Its wide voltage input and interface isolation enhance stability, making it ideal for smart surveillance, industrial automation, and edge AI applications. Supports Android, Ubuntu, Buildroot, and Debian.
The LBA3568 Embedded Computer Vision Board is a versatile AI edge computing platform designed for multi-screen display, multi-camera input, and real-time data communication. Powered by the RK3568 quad-core Cortex-A55 processor (up to 2.0GHz) and an ARM G52 2EE GPU, it delivers efficient performance for embedded vision applications. The integrated 1.0 TOPS NPU supports TensorFlow, Caffe, MXNet, and PyTorch, making it ideal for AI-powered image processing. With dual Gigabit Ethernet, WiFi6, 4G/5G, HDMI, LVDS, eDP, M.2 SSD, and extensive I/O, it ensures seamless connectivity. Compatible with Android, Ubuntu, Buildroot, and Debian, it’s perfect for smart surveillance, industrial automation, and edge AI computing.
The LBA3588S Embedded Computer Vision Board is a high-performance AI computing platform, designed for multi-screen display, multi-camera input, and AI acceleration. Powered by the RK3588S processor, it features quad-core Cortex-A76 + quad-core Cortex-A55 CPUs (up to 2.4GHz), delivering exceptional processing power. The ARM Mali-G610 MP4 GPU (450 GFLOPS) supports OpenGL ES3.2, OpenCL 2.2, and Vulkan 1.1, ensuring smooth graphics and compute performance. The integrated 6.0 TOPS NPU supports TensorFlow, Caffe, MXNet, and PyTorch for AI-driven vision tasks. With Gigabit Ethernet, WiFi5, 4G/5G, HDMI, LVDS, USB3.0, M.2 SSD, and mini-PCIe AI accelerator expansion, it’s ideal for industrial automation, smart surveillance, and edge AI applications. Compatible with Android, Ubuntu, Buildroot, and Debian.
You can get
Neardi offers a complete system, including hardware, operating system, and drivers. We also provide the necessary documentation and design drawings for secondary development.
ARM-based development board provides an excellent environment for developing the next-generation system-on-chip designs. A range of expansion options enables hardware and software applications to be developed and debugged.
Custom Embedded Computer Vision Board
The Neardi technical team will choose the most suitable ARM-based SoM as the core of your product, tailored to your project’s specific requirements. They will design a custom carrier board that meets all functional needs, optimizing costs and ensuring high quality—all within the shortest possible timeframe.
ODM Service
Neardi specializes in designing cost-effective embedded ARM hardware solutions. Our factory and supply chain team ensure the highest quality of materials while reducing your product costs. With extensive experience in ARM architecture and processor-related technologies, Neardi excels in developing and implementing ARM-based products. Alongside launching new products to meet common market demands, we also offer customized services for your unique project requirements. Our hardware team can quickly create prototypes based on your design ideas, meeting your project needs within a short development cycle.
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