Best Image Processing Single Board Computers in 2026

POWERFUL PERFORMANCE: The AMD Ryzen 7 processor in Alienware Aurora Ryzen Edition R10 gaming desktop empowers gamers with computing and graphics horsepower

INCREDIBLE GRAPHICS: Designed with AMD Radeon graphics this gaming PC pushes performance to its limit creating an immersive gaming experience

THE LATEST TECH: PCI-Express 4.0 provides graphics, storage drives and networking adapters greater bandwidth so that every component performs at their highest level

【NEW UPGRADED MINI PC】KAMRUI AK1 Pro mini computer is powered by a faster 11 generation Intel Celeron Jasper Lake Quad-Core N5105 processor (up to 2.9 GHz) with Windows 11 Pro 64 Bit. The performance of N5105 (10nm) is 30% higher than J4125 (14nm). Besides, N5105 is more energy efficient than N5095 (10W vs 15W). Get more done faster on a reliable mini computer that can keep up with your everyday tasks.

【MULTIMEDIA SERVER SMALL PC】AK1 PRO micro computer built-in Intel UHD Graphics ensures faster image processing and featured 4K UHD(4096x2160@60Hz) video playback. Supported dual screen display setup would save your time and improve your work efficiency. Enjoy smooth 4K UHD video at home and deliver a great TV experience with true-to-life picture quality. Ideal for visually home entertainment, home office, conference room, etc.

【STORAGE EXPANSION OPTION】AK1 PRO mini desktop pc booted up in seconds, transfers files without waiting hours, and enjoys a speedier experience with the internal 256GB M.2 SSD, and faster speed and efficiency with 8GB DDR4 than 4GB RAM. DIY 2.5-inch SSD/HDD(NOT INCLUDED) in the detachable empty base to expand the storage up to 2TB. Enhance the overall performance of the mini pc N5105 for business, education and daily usage.

[Small but Powerful]-Mini PC about 5.04 x 5.04 x 2.05-Inch. Powered by Intel Celeron Jasper Lake N5105(4MB cache, up to 2.9Ghz), delivers incredible responsiveness and smooth than Intel Celeron J4125, N5095 and Celeron N5100 processor. Easily switch back and forth between more applications with 12GB DDR4 memory and 256GB M.2 2280 solid-state drive storage. Very fast and no lagging or jumping.

[Intelligent Design]-What makes the small computer stand out from other mini PCs is that it has an empty expansion bay to allow adding a 2.5-inch SSD or HDD (up to 2TB). Comes with two HDMI ports connecting dual monitors easily, simplify and double your work efficiency. Also, the VESA mount can free yourself from the messy desktop. It is convenient to hide the mini desktop PC on the back of the monitor or HDTV.

[Ready When You Are]-Mini computer was pre-installed Windows 11 Pro. With the Modern light feature, blue light while running, red light while standby. Just plug-in device is running and ready for you to use simply by opening it up. Equipped with Intel UHD Graphics 800 MHz support 4K UHD(at 60Hz). Easy to enjoy Web surfing and 4K video playback, or connect to your projector as a home theatre, enjoy a variety of entertainment. Work and play your way virtually anywhere.

LATEST SOFTWARE SUPPORT: Ubuntu 22.04 LTS and Raspbian 11 support with hardware-accelerated video playback and 3D graphics. Upstream software stack featuring the latest Linux 6.x with open source graphics and video libraries. UEFI support with GRUB sofware behaves like PCs. Direct first software support and community hub for third party help to get started. Video tutorials on YouTube for commonly asked questions.

COMPATIBILITY AND EXTENSIBILITY: Great RPi alternative with same form factor as Pi 3 Model B for re-use with existing cases and power supplies. Identically designed 40-pin header enables hardware re-use by maintaining same pins for functions like SPI, I2C, PWM, UART, and more. Powerful GPIO wiring tool, libretech-wiring-tool, is available on Github that can quickly toggle GPIOs and dynamically control dtoverlays for faster design, testing, and learning.

HIGH PERFORMANCE LOW POWER: AML-S905X-CC performs faster than a Pi 3 B+ while using half the power. It is designed with power optimizations to increase sustained performance under load and reduce failures due to input voltage and current. It is one of the first SBCs to support 4K multi-codec hardware decoding and features a highly performant OpenGL ES 2.0 GPU for accelerated 2D/3D.

【Update AI Function】Raspberry Pi tank kit is compatible with the Raspberry Pi 4 module B (2G/4G/8G). It not only retains the basic functions of difficult line tracking, ultrasonic obstacle avoidance, and real-time video transmission, but the upgraded kit also adds AI functions such as face detection/tracking, color/object/gesture/QR code recognition. These new AI features make the tank more interesting.

【Real-time transmission of 5G HD video】Robot tank is professional DIY toy, suitable for electronic amateurs and teens over 16 years old. The tank is equipped with 2DOF camera PTZ, which can realize real-time transmission of HD video through the 5G wifi hotspot on Raspberry Pi. The camera supports 480P resolution with manually adjusted the focal length and two camera formats: MJPEG, YUYV(default). With 4B, video transmission is smoother and more stable. An assembled tank is like a moving camera.

【Programmed&tutorials&APP】Robot work with Raspberry Pi 4B, using Python/C++ as the main programming language and Open Source CV as the image processing library, you can develope the kit through the development tool Jupyter Lab. Yahboom provides online learning materials. You can download the "Yahboom Robot" APP (Android and iOS) to control the tank. If you are inexperienced, you can find "G1 tank initial tutorial video" at the bottom of the product page.

Orange Pi 5 16GB uses Rockchip RK3588S new generation 8-core 64-bit processor, quad-core A76+quad-core A55, with 8nm process design, up to 2.4GHz main frequency, integrated ARM Mali-G610 GPU, embedded high-performance 3D/2D image acceleration module, built-in NPU with 6Tops computing power, with 16GB (LPDDR4/4x), and up to 8K display processing capability.

Orange Pi 5 16GB Single Board Computer provides abundant interfaces, including HDMI output, GPIO interface, M.2 PCIe2.0, Type-C, Gigabit LAN port, 2*USB2.0, 1*USB3.0, etc.

Orange Pi 5 microcontroller open source board mini computer can be widely used in tablets, edge computing, artificial intelligence, cloud computing, AR/VR, intelligent security, smart home and other fields, covering AIoT various industries.

High Performance: Amlogic A311D - x4 2.2Ghz Cortex A73, x2 1.8Ghz Cortex A53 12nm SoC fabrication process for low heat 2T2R AC Wi-Fi with RSDB Features Bluetooth 5.0 USB 3.0 Available Gigabit Ethernet with WOL support LPDDR4/X USB-C PD for heavy applications

Neural Network Accelerator: NPU: Supports a maximum frequency of 800MHz at 5.0 TOPS INT8 inference up to 1536 MAC Internal L2 cache (512KB) and system workspace buffer (1MB) Supports all major deep learning frameworks including TensorFlow and Caffe

Maker Friendly: Stackable Design Programmable MCU 3 Programmable LEDs (Blue, Red and White) XPWR for external Power button Onboard SPI Flash Khadas TST Khadas KBI

【The Latest PC】CK10 Mini PC powered by Intel i7-10810U Core processor (up to 4.90 GHz) with Windows 11 Pro 64 Bit, which offers smooth operation and stable multitasking experience. The built-in Intel UHD Graphics ensures faster image processing. Also, CK10 PC supports Linux, Wake On LAN, RTC Wake, Auto Power On. Ideal for industrial and commercial applications.

【Multifunctional Mini PC】Supported triple screen display setup would save your time and improve your work efficiency. 4K Ultra HD(UHD) video playback. There are several air vents along the perimeter that reduced heat production. A cool fan design featuring smooth travel without noise. Enhance the overall performance of the mini pc for business, daily usage and industrial.

【Expanded Storage】16GB RAM to smoothly run games, photos and video-editing applications. 512GB M.2 SSD storage capacity provides room to store pictures, videos, music and more. Indeed, you can DIY the storage via a 2.5-inch SATA SSD(not included) for your personal needs. Small but Powerful, very suitable for light work, visual home entertainment, writing, web browsing and watching streaming video.

Arducam Mini Module Camera Shield 5MP Plus OV5642 Camera Module is a general purpose high definition 5MP SPI camera, which reduce the complexity of the camera control interface

It integrates 5MP CMOS image sensor OV5642, and provides miniature size, as well as the easy to use hardware interface and open source code library

The Arducam Mini is compatible with Arduino, Raspberry Pi, Raspberry Pi Pico,ESP8266, Maple, Chipkit, Beaglebone black, as long as they have SPI and I2C interface

Processor: Octavo Systems OSD3358

AM335x 1GHz ARM Cortex-A8 processor 512MB DDR3 RAM

4GB 8-bit eMMC flash storage Integrated power management

Used for PCIe solution verification Video Image Processing SFP/Gigabit Ethernet Communication

Featured Xilinx Artix-7 XC7A35T-2FBG484I8Gbit DDR3 SDRAM (2 pieces of 4Gbit) up to 400MHz / 800Mbps 32bit bus QSPI Flash: 128Mbit

1-port 10/100/1000 Mbps Ethernet (RGMII), Tri-Speed Ethernet PHY 2 x SFP/SFP+ Module Connectors PCI Express 2-lane edge connector USB-to-UART Bridge Connector HDMI Input Output 1080P

【Powerful Processor】BeagleBone Green Wireless based on Texas Instruments AM3358 1GHz ARM Cortex-A8. 3D graphics accelerator designed to support display and gaming effects. This processor features 2 controller-area networks (CANs), dual-core programmable real-time units (PRUs), these devices are enhanced with image, graphics processing, peripherals and industrial interface options such as EtherCAT and PROFIBUS.

【Offers Wi-Fi and BLE Solution】BeagleBone Green Wireless supports AP+STA mode of communication, comes with an MRAA library, and complies with Bluetooth Advanced Audio Distribution Profile (A2DP).

【Rapid Prototype Building】The board also comes with two Grove connectors. Grove is a modular standardized connector prototyping system by which you are able to build applications without soldering and jump wires. You can connect the BeagleBone Green Wireless to Grove sensors, actuators, displays with a simple cable.

CPU: 10th Generation Intel Core i5-10505 Processor @ 3.20GHz(6 Cores, 12 Threads, 12M Cache, up to 4.60 GHz).

RAM: 8GB 2666MHz DDR4 Memory; Hard Drive: 512GB PCIe SSD; Optical Drive: 8x DVD +/- RW 9.5 mm ODD.

Graphics: Intel UHD Graphics 630.

4GB SUB B01 substitute NOT exactly equal to official B01 (slight difference),

【Perfect Alternative】 Jetson Nano 4GB SUB is a highly consistent developer kit based on official Jetson nano 4GB core module, the only difference is that Yahboom Jetson Nano 4GB SUB motherboard comes with 16G-eMMC memory, no need to use TF separately The card can run, at the same time, it can expand the USB3.0 U disk, or use the 3.0 card reader and TF card to expand the memory. Please note that the SUB does not have an SD card slot, and the expansion of memory can only be solved through a U disk

The Jetson Nano 4GB SUB Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.

【Driven by Raspberry Pi and Coreless Servos】PuppyPi is an AI vision quadruped robot driven by Raspberry Pi CM4 4GB and built on the Robot Operating System (ROS). It is equipped with 8 stainless steel coreless servos, delivering high-precision performance, rapid rotation speed, and a robust torque of 8KG.cm. With an IMU sensor, PuppyPi Pro can detect its posture in real-time, enabling self-balancing capabilities.

【AI Vision, Unlimited Creativity】PuppyPi Pro is equipped with an HD wide-angle camera boasting 100W-pixel resolution. It utilizes OpenCV library for efficient image processing, enabling a diverse range of AI applications, including target recognition and localization, line following, obstacle avoidance, face detection, ball shooting, color tracking and rag recognition.

【Various Control Methods and FPV Live Camera Feed】You can conveniently control PuppyPi Pro through WonderPi app available for Android and iOS devices, PC software, or a wireless PS2 handle. Additionally, PuppyPi Pro provides a first-person perspective experience by transmitting the live camera feed to the app.

Low cost evaluation board using i.MX6UL G3 CPU With Cortex-A7 Core Up to 528MHz

Onboard 512MB DDR3L,Onboard 4GB EMMC Storge

Onboard RS485/CANx2/10,100M Ethernet/USB OTGX1,HostX2

No Wireless Module and 3.5mm Audio Port

High performance Quad-core ARM SoC up to 1. 8GHz with 2GB RAM- The Tinker Board S features the Rockchip RK3288 SoC and Mali-T764 GPU along with 2GB of Dual Channel DDR3 memory and 16GB of fast & durable eMMC onboard storage

DIY Design – Tinker Board S features multiple DIY use features including a color coded enhanced GPIO header with dual mode I2S, silkscreened PCB, onboard power on pin

The carrier board ONLY, compatible with both Jetson Nano and Jetson Xavier NX

Based on AI computers Jetson Nano and Jetson Xavier NX, providing almost the same IOs, size and thickness as the Jetson Nano Developer Kit (B01), more convenient for upgrading the core module.

By utilizing the power of core module, it is qualified for fields like image classification, object detection, segmentation, speech processing etc. and can be used in sorts of AI projects.

The NVIDIA Jetson Nano Developer Kit delivers high-end computing performance to run modern artificial intelligence workloads at a previously minimal form factor, power, and cost. Developers, learners, and makers are now running AI frameworks and models for applications such as image classification, object detection, segmentation, and speech processing.

The developer kit can be powered by micro USB and has extensive I/O from GPIO to CSI. This allows programmers to easily connect a variety of new sensors to enable a variety of AI applications. Very energy efficient with power consumption as low as 5 watts.

Jetson Nano is also supported by NVIDIA JetPack, which includes Board Support Package (BSP), Linux OS, N-VI-DIA CUDA, cuDNN and TensorRT for deep learning, computer vision, GPU computing, multimedia Software library handling and more. The software even works with an easy-to-flash SD card image, making getting started quick and easy.