Kumquat – An Allwinner V3s embedded system board with isolated CAN, Ethernet and ESP32 for WiFi and Bluetooth

Kumquat Allwinner V3s development board

The Kumquat is an Allwinner V3s board designed for industrial automation, home automation, IoT projects, robotics, and embedded system development. The Allwinner V3s features ARM Cortex-A7 cores with 64MB DDR2 RAM and 8MB SPI flash storage. Connectivity options include Ethernet, USB-C, isolated CAN-FD, and WiFi/Bluetooth via an ESP32 module. Additionally, it has eight auto-detecting 12/24V IOs, four relays for controlling external devices, and a real-time clock with battery backup. The Kumquat runs on Buildroot Linux with a mainline kernel and can be programmed with various programming languages making it a great alternative to traditional PLCs. Kumquat board specification SoC – Allwinner V3s  CPU – ARM Cortex-A7 @ up to 1.2 GHz Memory – Integrated 64MB DDR2 DRAM clocked at 400MHz @ 1.5 V Video engine Storage 8MB SPI Flash for bootloader and user code I2C EEPROM for MAC addresses and user data SDIO Connector for eMMC or SD card Connectivity […]

Qualcomm introduces IQ9, IQ8, and IQ6 industrial IoT SoC families with up to 100 TOPS of AI performance

Qualcomm IQ9 IQ8 IQ6 industrial IoT processors

Qualcomm Technologies has introduced the new industrial-grade IQ chipset family with the IQ9, IQ8, and IQ6 series offering on-device AI performance of up to 100 TOPS, industrial temperature range, and built-in safety features such as SIL-3 (safety and integrity level). Qualcomm IQ series of chipsets target a range of premium (IQ9), mid-tier (IQ8), and entry-level (IQ6) applications such as industrial and agricultural robots, drones, industrial inspection and automation, edge AI boxes with computer vision capabilities, edge gateway analytics solutions, and more. Qualcomm IQ9 Series – IQ-9100, IQ-9075 Key features and specifications: CPU IQ-9075 – Octa-core Kryo Gen 6 scaling from 1.632 to 2.55 GHz IQ-9100 – Octa-core Kryo Gold Prime @ 2.36 GHz (CNXSoft: The specs are not clear for the CPU part…, both SKUs could be the same for the CPU part) GPU – Adreno 663 GPU Audio DSP (LPASS) 1980 MPPS, 7x TDM/I2S 3x High-Speed I2S for Radio […]

Jetway JPIC-ADN1 fanless, industrial Pico-ITX SBC features Intel N97 or N200 CPU, dual display support

Jetway JPIC ADN1 Pico ITX SBC

Jetway JPIC-ADN1 is a fanless pico-ITX SBC powered by an Intel N97 or N200 Alder Lake-N processor and targeted at industrial robotics applications. The JPIC-ADN1 supports up to 32GB of memory via a single-channel SO-DIMM slot. The SoC comes with UHD Graphics, supporting dual-display outputs via HDMI 2.0b and a 24-bit dual-channel LVDS interface. For storage, it features an M.2 B+M-Key socket and a SATA 3 port, plus an E-Key 2230 socket for wireless expansion. Gigabit Ethernet networking is handled by the RTL8111H GbE controller. Additionally, it has a serial header, 8-bit GPIO, SMBUS, watchdog timer, and much more. JPIC-ADN1 fanless SBC specification Alder Lake-N SoC (one or the other) Intel Processor N97 quad-core Alder Lake N-series processor with Intel UHD graphics; 12W TDP Intel Processor N200 quad-core processor @ up to 3.7 GHz (Turbo) with 6MB cache, 32EU Intel HD graphics @ up to 750 MHz; TDP: 6W Additional compatible CPUs available via regional sales […]

u-blox X20 all-band GNSS module offers centimeter-level accuracy, u-blox F9 pin-to-pin compatibility

u blox X20 all band GNSS module

u-blox has recently launched the X20 all-band GNSS module with an integrated L-band receiver that supports all available GNSS satellite signals (L1/L2/L5/L6) and can provide centimeter-level accuracy globally. The module also includes PPP (Precise Point Positioning) correction on top of RTK (Real-time Kinematic) and features like end-to-end security functions, advanced jamming/spoofing detection, and other software features. These features make this device useful for industrial automation, automotive, UAVs, and ground robotics applications. Multi-band GNSS receivers using L1, L2, L5, and the new L6/E6 band frequencies enhance accuracy, reliability, security, and other benefits. That includes better PNT (Positioning, Navigation and Timing) and RTK performance, access to global precise point positioning (PPP) services like Galileo HAS, faster convergence times in PPP for industrial and automotive use, and access to regional PPP services like MADOCA-PPP. Additionally, it helps comply with regional regulations like AIS-140 for NavIC in India and improves jamming and spoofing immunity […]

Intel RealSense Depth Module D421 offers a low-cost depth-sensing solution at just $80

Intel RealSense Depth Module D421

Intel RealSense Depth Module D421 is an entry-level stereo depth module with a 0.2 to 3-meter recommended range, a global shutter to capture motion without artifacts, and a 75° × 50° field of view (FoV). Intel has made RealSense Depth cameras for years, including the popular RealSense D435i with 6 DoF tracking introduced in 2018 that currently sells for about $320. But not all projects need the most advanced features and/or are viable when needing to spend several hundred dollars on the camera itself. The RealSense Depth Module D421 is a much cheaper way to integrate depth-sensing into projects at a much lower price point. It’s fairly similar to the earlier D435 but lacks an RGB camera. Intel RealSense Depth Module D421 specifications: Based on the Intel D4 Vision Processor Image sensor technology – Global Shutter Recommended Range – 0.2 m to over 3 m (varies with lighting conditions) Depth […]

D-Robotics RDK X3 Development Board features Sunrise X3 quad-core Arm Cortex-A53 SoC with a 5TOPS “Bernoulli” BPU

D-Robotics RDK X3 development board

The D-Robotics RDK X3 development board is designed for edge AI applications and features a Sunrise X3 quad-core Arm Cortex-A53 processor running at 1.5GHz with a dual-core BPU (Brain Processing Unit) with 5 TOPS of edge inference capability. The board includes a 40-pin GPIO interface, ensuring compatibility with Raspberry Pi 4B accessories for versatile project development. The RDK X3 offers 2GB or 4GB of LPDDR4 RAM and includes a MicroSD card slot for storage expansion. Designed for real-time applications like robot control and intelligent monitoring, its 5 TOPS inference capability makes it ideal for computer vision workloads such as object detection, body segmentation, scene parsing, etc… Previously, we covered the Horizon X3 AI development board, which uses the same Horizon Robotics Sunrise X3 processor. We’ve also written about several other edge AI development boards, including the Synaptics Astra Platform SL1680, SagireEdge AI 600, and MYiR Tech’s MYC-LR3568. Feel free to […]

Vecow RAC-1000 rugged Edge AI systems feature NVIDIA Jetson AGX Orin, waterproof ports, GMSL2 camera connectors

Vecow RAC 1000 Jetson AGX Orin computing system

Vecow’s RAC-1000 series Edge AI systems are powered by NVIDIA Jetson AGX Orin 32GB or 64GB system-on-modules, offering up to 275 TOPS of AI performance. These systems are energy-efficient and come with rugged I/O options and an IP67-rated enclosure, making them suitable for AI and robotics applications such as automated agricultural machinery, construction automation, and mobile robotics in extreme outdoor conditions. The series includes two models: the RAC-1000, which supports 8 GMSL2 cameras through FAKRA-Z connectors for autonomous mobile robots, agricultural vehicles, and ADAS; and the RAC-1100, which features 6 GigE LAN ports with 4 PoE+ for vision AI applications. Both models are built for industrial environments and support various AI-driven tasks. As you may know, we’ve previously covered several Vecow AI computing systems, including EAC-5000, EVS-3000, TGS-1000 Series, SPC-9000 fanless embedded system, ECX-3200, and EPBC-1000. Feel free to explore these options if you’re interested. The Vecow RAC-1000 series specifications: […]

MIKRIK V2 Robot Car is an entry-level, open-source robotics kit built for ROS and 3D computer vision

MIKRIK V2 open source robotics kit

The MIKRIK V2 Robot Car is an open-source robotics kit for studying 3D computer vision and is compatible with both ROS1 and ROS2 software suites. The two-wheel-drive robot is powered by a Raspberry Pi 4 Model B (as a ROS1 differential drive controller) and a more powerful x86 or ARM single-board computer that can support ROS2 applications like the LattePanda Delta 3, Intel NUC, or NVIDIA Jetson Nano. The robot car uses the Intel Realsense D435i camera for 3D depth vision. It is a less expensive alternative to the iRobot Create, Husarion, and TurtleBot, and compares favorably with NVIDIA’s open-source JetBot AI robot platform. The robot car’s chassis is squared-off and made from shatterproof flex plastic. The CAD files are available on GitHub for self-assembly using a laser cutter and a 3D printer. The assembly and setup process is documented on the Hackster project page. On the software end, it […]

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