Gumstix Introduces CM4 to CM3 Adapter, Carrier Boards for Raspberry Pi Compute Module 4

CM4 to CM3 Adapter

Raspberry Pi Trading has just launched 32 different models of Raspberry Pi CM4 and CM4Lite systems-on-module, as well as the “IO board” carrier board. But the company has also worked with third-parties, and Gumstix, an Altium company, has unveiled four different carrier boards for the Raspberry Pi Compute Module 4, as well as a convenient CM4 to CM3 adapter board that enables the use of Raspberry Pi CM4 on all/most carrier boards for the Compute Module 3/3+. Raspberry Pi CM4 Uprev & UprevAI CM3 adapter board Gumstix Raspberry Pi CM4 Uprev follows the Raspberry Pi Compute Module 3 form factor but includes two Hirose connectors for Computer Module 4. The signals are simply routed from the Hirose connectors to the 200-pin SODIMM edge connector used with CM3. Gumstix Raspberry Pi CM4 Uprev is the same except it adds a Google Coral accelerator module. Gumstix Raspberry Pi CM4 Development Board Specifications: […]

$16 Banana Pi BPI-EAI80 Cortex-M4F Board Embeds AI Accelerator, WiFi Module

Banana Pi BPI-EAI80 AI MCU Development Board

Last April, we wrote about Edgeless EAI-Series dual Arm Cortex-M4 MCU equipped with a 300 GOPS CNN-NPU for AI at the very edge as we had discovered the chip in an upcoming Banana Pi board. It turns out Banana Pi BPI-EAI80 development board powered by Edgeless EAI80 AI microcontroller has just launched for $16 on Aliexpress, or you could get a complete kit with a touchscreen display,  a camera, and a USB power supply for $80. Banana Pi BPI-EAI80 development board specifications: System-in-Package – Edgeless EIA80 dual-core Cortex-M4F microcontroller @ 200MHz with 300GOPS AI accelerator (CNN-NPU), 384KB of SRAM including 256KB for CNN-NPU, and 8MB SDRAM Storage – SPI flash Display I/F – LCD connector up to 1024×768 Camera I/F – 1x DVP camera interface Audio – 2x onboard microphones Connectivity – 2.4GHz 802.11b/g/n WiFI 4 using ESP8266 module USB – 1x USB 2.0 Type-C port Expansion 40-pin GPIO header […]

Lantronix Open-Q 865XR SoM Brings Snapdragon XR2 Processor Beyond Virtual Reality

Lantronix Snapdragon XR2 Development Kit

Qualcomm Snapdragon XR2 (SXR2130P) is the latest and most powerful virtual & extended reality processor from the company and Facebook recently announced it would be found in their Oculus Quest 2 standalone VR headset. But it now looks like the processor will be used well beyond virtual reality applications as Lantronix has unveiled a Snapdragon XR2 SoM with Open-Q 865XR system-on-module designed for AI boxes, video conference systems, multi-camera systems, machine vision platforms, advanced high-resolution multi-display systems, medical imaging, and handheld data collectors. Open-Q 865XR SoM Open-Q 865XR SoM specifications: SoC – Qualcomm SXR2130P (Snapdragon XR2) Octa-core processor with 1x Kryo Gold prime @ 2.84 GHz + 3x Kryo Gold @ 2.42 GHz + 4x Kryo Silver @ 1.81 GHz Adreno 650 GPU @ up to 587 MHz Hexagon 698 DSP with quad Hexagon Vector eXtensions Spectra 480 Image Signal Processor Adreno 665 Video Processing unit for decode up to […]

Vision FPGA SoM Integrates Audio, Vision and Motion-Sensing with Lattice iCE40 FPGA (Crowdfunding)

Vision FPGA SoM’s Vision FPGA SoM is a tiny Lattice iCE40 powered FPGA module with integrated vision, audio, and motion-sensing capability with a CMOS image sensor, an I2S MEMS microphone and a 6-axis accelerometer & gyroscope. The module enables low power vision (10-20 mW) for battery-powered applications, can interface via SPI  to a host processor as a storage device, comes with open-source toolchain and sample code, and is optimized for volume production. Vision FPGA SoM specifications: FPGA – Lattice iCE40UP5k FPGA with 5K LUT’s, 1 Mb RAM, 8 MAC units Memory – 64 Mbit QSPI SRAM for temporary data Storage – 4 Mbit QSPI Flash for FPGA bitstream/code storage Sensors Himax HM01B0 CMOS image sensor Knowles MEMS I2S microphone, expandable to a stereo configuration with an off-board I2S microphone InvenSense IMU 60289 6-axis Gyro/accelerometer I/Os 4x GPIOs with programmable IO voltage SPI host interface with programmable IO voltage Misc – Tri-color LED, […]

Raspberry Pi SBC Now Supports OpenVX 1.3 Computer Vision API

Raspberry Pi OpenVX 1.3

OpenVX is an open, royalty-free API standard for cross-platform acceleration of computer vision applications developed by The Khronos Group that also manages the popular OpenGL ES, Vulkan, and OpenCL standards. After OpenGL ES 3.1 conformance for Raspberry Pi 4, and good progress on the Vulkan implementation, the Raspberry Pi Foundation has now announced that both Raspberry Pi 3 and 4 Model B SBC’s had achieved OpenVX 1.3 conformance (somehow dated 2020-07-23). Raspberry Pi OpenVX open-source sample implementation passes the Vision, Enhanced Vision, & Neural Net conformance profiles specified in OpenVX 1.3 standard. However, it is NOT intended to be a reference implementation, as it is not optimized, production-ready, nor actively maintained by Khronos publically. The sample can be built on multiple operating systems (Windows, Linux, Android) using either CMake or Concerto. Detailed instructions are provided for Ubuntu 18.04 64-bit x86 and Raspberry Pi SBC. Here’s the list of commands to […]

ROScube Pico SBC Runs Ubuntu & ROS on Intel Atom or Rockchip PX30 Processor

RoScube Pico SBC Devkit

ADLINK has launched ROScube Pico SBC designed for robotics projects and powered by either an Intel Atom x5 Apollo Lake processor or a Rockchip PX30 Arm Cortex-A35 processor via their SMARC-compliant system-on-modules namely LEC-AL and as LEC-PX30. Both models run Ubuntu and ROS/ROS-2 operating systems simultaneously, and the company also provides NeuronBot robotics development and demo kit based on the SBC. ROScube Pico SBC and Devkit If ROScube Pico looks similar it’s because it appears to be based entirely on ADLINK previously announced ADLINK Industrial-Pi (I-Pi) SMARC Development Kit based on Rockchip PX30, and Vizi-AI development starter kit based on Atom x5-E3940 SoC and Movidius Myriad X VPU. Those are the specifications listed for ROScube Pico: SMARC Module For ROScube Pico NPS-1 – LEC-AL with Intel Atom processor, Intel Movidius Myriad X AI accelerator, 8GB LPDDR4 RAM, 32GB eMMC For ROScube Pico NPS-4 – LEC-PX30 with Rockchip PX-30 quad-core Cortex-A35 […]

Ryzen Embedded SBC is Made for Real-time AI Vision, Conveyor Belt Tracking

MIRU130 Ryzen Embedded-SBC Real-time AI Vision Conveyor Belts

Axiomtek just recently introduced CAPA13R AMD Ryzen Embedded V1605B/V1807B SBC in 3.5″ embedded SBC form factor, and the company is now back with another, larger Ryzen Embedded SBC: Axiomtek MIRU130. Why would they launch yet another Ryzne Embedded board two weeks later? Different applications. While CAPA13R targets various graphics-intensive applications ranging from medical imaging to smart digital signage, MIRU130 appears to be especially focused on real-time vision-based AI applications with PoE and USB ports for cameras, and integrated “real-time vision I/Os” such as trigger inputs, LED lighting controllers, camera trigger outputs and an encoder input designed for conveyor tracking. MIRU130 SBC specifications: SoC (One or the other) – AMD Ryzen Embedded V1807B or V1605B quad-core processor with Radeon Vega 8 graphics; V1807B: 35-54W TDP; V1605B: 12-25W TDP System Memory – 2x 240-pin DDR4-2400 SO-DIMM, up to 16GB RAM Storage 1x SATA-600 1x M.2 Key B (SATA, USB 2.0, PCIe x2 […]

iWave Systems i.MX8M Mini Devkit Targets Low-cost Facial Recognition Systems

iwave systems imx8m mini devkit

iWave Systems i.MX8M Mini Board is a development platform based on an update versions of the company’s iW-RainboW-G34M-SM i.MX 8M Mini system-on-module and designed specifically for low-cost facial recognition systems thanks to NXP eIQ ML software, and MIPI display and camera. iWave Systems i.MX8M Mini (aka iW-RainboW-G34D) specifications: SoM SoC – NXP i.MX8M Mini Q/QL/D/DL/S/SL with up to 4x Cortex-A53 cores,  1x Cortex-M4F real-time core, Vivante 3D and 2D GPUs System Memory – 1GB LPDDR4 (Expandable up to 4GB) Storage – 8GB eMMC Flash (Expandable), optional 2MB QSPI Flash optional Micro SD slot Wireless – Dual-band 802.11a/b/g/n/ac WiFi 5 and Bluetooth 5.0. PMIC – BD71847AMWV i.MX8M SODIMM Carrier Board Storage – MicroSD slot Display I/F – MIPI DSI display connector Camera I/F – MIPI CSI camera connector Audio – Audio codec, 3.5mm Line In/Out jack Networking – Up to 2x Gigabit Ethernet ports (One is Optional) USB – 2x USB […]

ASUS Tinker board 3N