AAEON BOXER-8224AI is a thin and lightweight AI edge embedded system solution based on NVIDIA Jetson Nano system-on-module and designed for drones, or other space-constrained applications such as robotics. AAEON BOXER products are usually Embedded Box PCs with an enclosure, but the BOXER-8224AI is quite different as it’s a compact and 22mm thin board with MIPI CSI interfaces designed to add computer vision capability to unmanned areal vehicles (UAV), as well as several wafers for dual GbE, USB, and other I/Os. BOXER-8224AI specifications: AI Accelerator – NVIDIA Jetson Nano CPU – Arm Cortex-A57 quad-core processor System Memory – 4GB LPDDR4 Storage Device – 16GB eMMC 5.1 flash Dimensions – 70 x 45 mm Storage – microSD slot Display Interface – 1x Mini HDMI 2.0 port Camera interface – 2x MIPI CSI connectors Networking 2x Gigabit Ethernet via wafer connector (1x NVIDIA, 1x Intel i210) Optional WiFi, Bluetooth, and/or cellular connectivity […]
Cool Pi CM5 evaluation board features Rockchip RK3588/RK3588J system-on-module
Cool Pi CM5 is a system-on-module based on Rockchip RK3588 or RK3588J (industrial temperature range) octa-core Arm Cortex-A76/A55 processor with up to 32GB RAM, 256GB eMMC flash, offered with a development board with dual GbE, two 8K HDMI 2.1 ports, a PCIe 3.0 x2 slot, M.2 NVMe and SATA storage, and more… At the end of last year, we wrote about the Cool Pi 4 as a much faster alternative to Raspberry Pi 4 SBC, and the company has now launched a Raspberry Pi Compute Module 4 and Radxa CM5 alternative with the Cool Pi CM5 MXM 3.0 system-on-module that they offer along with a feature-rich evaluation board (EVB). Cool Pi CM5 EVB specifications: System-on-Module SoC – Rockchip RK3588(J) octa-core processor with 4x Cortex‑A76 cores @ up to 2.4GHz, 4x Cortex‑A55 core @ 1.8GHz Arm Mali-G610 MP4 “Odin” GPU Video decoder – 8Kp60 H.265, VP9, AVS2, 8Kp30 H.264 AVC/MVC, 4Kp60 […]
IP67-rated CM4 AI camera uses Raspberry Pi Compute Module 4 for computer vision applications
EDATEC ED-AIC2020 is an IP67-rated, Raspberry Pi CM4-based industrial AI camera equipped with a fixed or liquid lens and LED illumination that leverages the Raspberry Pi Compute Module 4 to run computer vision applications using OpenCV, Python, And Qt. We’ve previously written about Raspberry Pi Compute Module-based smart cameras such as the Q-Wave Systems EagleEye camera (CM3+) working with OpenCV and LabVIEW NI Vision and the StereoPi v2 (CM4) with stereo vision. But the EDATEC ED-AIC2000 is the first ready-to-deploy Raspberry Pi CM4 AI camera we’ve covered so far. EDATEC “CM4 AI camera” (ED-AIC2020) specifications: SoM – Raspberry Pi Compute Module 4 up to 8GB RAM, up to 32GB eMMC flash Camera 2.0MP global shutter or 5.0MP rolling shutter Acquisition rate – Up to 70 FPS Aiming point – Red cross laser Built-in LED illumination (optional) Scanning field Electronic liquid lens Fixed focal length lens Networking Gigabit Ethernet M12 port Communication protocols – Ethernet/IP, PROFINET, Modbus […]
Cytron CM4 Maker Board review – Part 2: NVMe SSD, RTC, Buzzer, Grove modules, ChatGPT…
We’ve already checked out Cytron’s CM4 Maker Board kit with a Raspberry Pi CM4 system-on-module and booted the system with the included 32GB “MAKERDISK” Class 10 microSD card preloaded Raspberry Pi OS in the first part of the review. For the second part of the CM4 Maker review, I’ve mostly used the 128GB NVMe SSD provided by the company and played with other features of the board including the RTC, the buzzer, some Seeed Studio grove modules, and even got help from ChatGPT for one of the Python programs I used. Booting Cytron CM4 Maker Board with the “MAKERDISK” NVMe SSD I connected several Grove modules with GPIO and I2C interfaces, a Raspberry Pi Camera Module 3, an Ethernet cable, two RF dongles for a wireless keyboard and mouse, an HDMI cable to a monitor, and finally inserted the provided 5V/3.5A USB-C power adapter. The MAKERDISK SSD comes with Raspberry […]
Renesas RZ/G2L CPU module targets HMI and IoT gateway applications
MYIR MYC-YG2LX is Renesas RZ/G2L CPU module with up to 4GB DDR4, 32GB eMMC flash, and various I/Os such as gigabit Ethernet, USB 2.0, camera and display interfaces accessible through 222 castellated holes, and designed for advanced HMI, IoT edge gateways, and other embedded devices with video capabilities. As a reminder, the Renesas RZ/G2L microprocessor comes with up to two Arm Cortex-A55 cores clocked at 1.2 GHz, one 200 MHz Cortex-M33 real-time core, a Mali-G31 GPU for 3D graphics interfaces, and a VPU capable of H.264 encoding/decoding. The company also offers the MYD-YG2LX development board based on the 45x43mm MYC-YG2LX CPU module with easy access to its interfaces. MYIR MYC-YG2LX Renesas RZ/G2L CPU module MYC-YG2LX module specifications: SoC – Renesas RZ/G2L (R9A07G044L23GBG) dual-core Cortex-A55 processor with Cortex-M33 core @ 200 Mhz, Arm Mali-G31 GPU, H.264 hardware video decoding/encoding System Memory – 1 or 2GB DDR4 (option for up to 4GB) […]
conga-STDA4 SMARC 2.1 module features TI TDA4VM/DRA829J Jacinto 7 processor
congatec conga-STDA4 is a SMARC Computer-on-Module (CoM) based on Texas Instruments TDA4VM or DRA829J Jacinto 7 processor with two Cortex-A72 cores, six real-time Cortex-R5 cores for functional safety, accelerated vision and AI processing capabilities, and plenty of interfaces. The first Texas Instruments-powered CoM from the company is designed for industrial mobile machinery requiring near-field analytics, such as automated guided vehicles and autonomous mobile robots, construction and agricultural machinery, as well as any industrial or medical solutions requiring energy-efficient computer vision at the edge. conga-STDA4 specifications: SoC – Texas Instruments Jacinto 7 TDA4VM/DRA829J with Dual-core Arm Cortex-A72 up to 2.0 GHz 6x Arm Cortex-R5F cores @ 1.0 GHz up to 8 MB of on-chip L3 RAM 1x C7x DSP up to 80 GFLOPs 2x C66 DSPs up to 40 GFLOPs Up to 8 TOPS MMA AI accelerator PowerVR Rogue 8XE GE8430 3D GPU with support for OpenGL ES 3.1, OpenVX, OpenCL […]
Rockchip RK3588M automotive-grade AI SoC supports up to 16 camera inputs
Rockchip RK3588M is an automotive-grade variant of the Rockchip RK3588 octa-core Cortex-A76/A55 SoC that supports at least 6 Full HD displays and 16 camera inputs and can simultaneously run the car dashboard, in-vehicle infotainment, a digital rearview mirror, headrest monitors, ADAS system, and more. The frequency of the Cortex-A76 cores is limited to 2.1 GHz, and the Cortex-A55 cores to 1.7 GHz, against 2.4 and 1.8 GHz for RK3588, probably to operate in a larger temperature range required by the automotive market. I could not find any RK3588M datasheet yet, but we can find more details through the Firefly AIO-3588MQ automotive mainboard built around the RK3588M processor. Firefly AIO-3588MQ specifications: SoC – Rockchip RK3588M octa-core processor with CPU 4x Cortex-A76 cores @ up to 2.1 GHz, 4x Cortex-A55 cores @ up to 1.7 GHz Arm Mali-G610 MP4 GPU with OpenGL ES 3.2, OpenCL 2.2, Vulkan 1.1 support 6 TOPS AI […]
CM4 Maker Board review – Part 1: specifications, unboxing, and first boot
Cytron CM4 Maker Board is a carrier board for the Raspberry Pi CM4 or CM4 Lite system-on-module with plenty of I/Os, support for one M.2 NVMe SSD, and RTC backup battery, a buzzer, and various LEDs for GPIO status that makes the board especially well suited for the education market and prototyping. The carrier board also comes with the usual Gigabit Ethernet and full-size HDMI port, four USB 2.0 ports, five Grove connectors, one Maker port, the omnipresent 40-pin Raspberry Pi GPIO header, and support power input from 7V-18V DC jack or 5V via a USB Type-C connector. CM4 Maker Board specifications Cytron CM4 Maker Board specifications: Supported SoM – Raspberry Pi Compute Module 4 or Compute Module 4 Lite Storage microSD card slot M.2 PCIe 2.0 socket for NVMe 2232/2242 SSD Video Interfaces Full-size HDMI 2.0 port MIPI DSI display connector Camera – MIPI CSI connector connector Audio – […]