Orange Pi Compute Module 4

1,140.24 1140.24 ZAR


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South Africa: Price: R115, 2-4 working days.
International: Contact us for a quote.
No Charge - 3 Appian Place, 373 Kent Ave, RandburgEffortlessly bridge legacy and modern technologies with our DB9 to USB Connector, enabling seamless connectivity between serial devices and USB ports.

All items subject to 1 month warranty. Extended 12 month warranty available at 20% of purchase price. t&c apply

                                                                                          Orange Pi Compute Module 4

                                                                                          Enhancing Convenience And Efficiency

                                                                                          The Orange Pi Compute Module 4 stands as a compact yet robust solution, ideal for deep-embedded applications. Powered by the Rockchip RK3566, it boasts a quad-core 64-bit Cortex-A55 processor with a 22nm advanced process, capable of reaching speeds of up to 1.8GHz. This module integrates an ARM Mali G52 2EE graphics processor, supporting OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, and Vulkan 1.1, along with embedded high-performance 2D acceleration hardware. Moreover, it features an integrated RKNN NPU AI accelerator with 0.8Tops@INT8 performance, supporting the seamless conversion of Caffe/TensorFlow/TFLite/ONNX/PyTorch/Keras/Darknet architecture models with just one click.

                                                                                          In addition to its powerful specifications, the Orange Pi Compute Module 4 provides a diverse range of interfaces and offers various specifications of eMMC flash memory and wireless modules. This versatility makes it well-suited for a broad spectrum of applications in the industrial IoT field, allowing for seamless integration and reliable performance in diverse environments.

                                                                                          Projects for the Orange Pi Compute Module 4
                                                                                          • Home Automation System

                                                                                          • Edge Computing Applications

                                                                                          • Industrial Monitoring and Control

                                                                                          • AI and Machine Learning Projects

                                                                                          • Media Streaming and Entertainment

                                                                                          • Environmental Monitoring Systems

                                                                                          • Robotics and Automation

                                                                                          • Education and Learning Platforms

                                                                                          • Healthcare and Assistive Technology

                                                                                          • Customized Embedded Systems

                                                                                          Micro SD Card


                                                                                          SoCRockChip RK3566

                                                                                          Quad-core 64-bit Cortex-A55 processor,22nm advanced process, up to 1.8GHz main frequency
                                                                                          GPU• ARM Mali G52 2EE graphics processor
                                                                                          • Supports OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1
                                                                                          • Embedded high performance 2D acceleration hardware
                                                                                          NPU• Integrated RKNN NPU AI gas pedal, 0.8Tops@INT8 performance
                                                                                          • Supports Caffe/TensorFlow/TFLite/ONNX/PyTorch/Keras/Darknet
                                                                                          • 4K@60fps H.265/H.264/VP9 video decoding
                                                                                          • 1080P@100fps H.265 video encoding
                                                                                          • 1080P@60fps H.264 video encoding
                                                                                          PMURockChip RK809-5

                                                                                          RAM1GB/2GB/4GB/8GB (LPDDR4/4x)

                                                                                          • On-board eMMC: 8GB/32GB/64GB/128GB
                                                                                          • SPI Flash: default empty post
                                                                                          Wi-Fi + Bluetooth   
                                                                                          Wi-Fi 5+BT 5.0,BLE(20U5622)

                                                                                          Ethernet transceivers   
                                                                                          10/100/1000Mbps Ethernet (on-board PHY chip : YT8531C)

                                                                                          • 100Pin*2, 24Pin*1, contains the following signals:
                                                                                          • 10/100/1000Mbps Ethernet MDI signals
                                                                                          • 1* HDMI 2.0 interface up to 4K@60fps
                                                                                          • 1* 2-lane MIPI DSI display interface
                                                                                          • 1* 4-lane MIPI DSI display interface
                                                                                          • Embedded Display Port (eDP)
                                                                                          • 1* 4-lane MIPI CSI camera interface
                                                                                          • SATA3 or PCIe
                                                                                          • USB3.0*1+USB2.0*3
                                                                                          • RESET, MASKROM, RECOVERY
                                                                                          • Headphone jack Audio input and output signals
                                                                                          • DC 5V input power supply, DC3.3V and 1.8V output power supply
                                                                                          Supported OS   
                                                                                          Android 11, Ubuntu 22.04, Ubuntu 20.04, Debian 11, Debian 12, OpenHarmony 4.0 Beta1, Orange Pi OS (Arch), Orange Pi OS (OH) based on OpenHarmony and other operating systems.


                                                                                          - Onboard eMMc OS flashing will cost an additional R400.
                                                                                          - MicroSD card flashing is an additional R100, you will need to purchase a MicroSD card as well.

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                                                                                          Specifications for Orange Pi Compute Module 4

                                                                                          RAM 4GB or 8GB


                                                                                          4GB , 8GB