[Update: Initially published on July 30th, XGO Mini Pro robot dog is now up on Kickstarter. While it was listed on the Kendryte K510 product page, it is only offered with the earlier Kendryte K210 in the crowdfunding campaign] Kendryte K510 RISC-V AI processor is the successor of Kendryte K210 with much more AI processing power (2.5/3 TOPS) that makes it suitable for robotics projects demanding much lower latency and quasi-real-time inference. One of the first products to be compatible with both Kendryte K510/K210 capabilities is Luwu Intelligence Technology’s XGO Mini Pro, a four-legged robot that looks like a dog with a tiny head providing the “smarts” for the system including face detection, image recognition, object tracking, voice recognition, and so on. We first found the description of the robot on Canaan’s website is rather short with an explanation that when equipped with is equipped with a 9-axis IMU and […]
Boardcon EM3566 Linux SBC is powered by a Rockchip RK3566 System-on-Module
Another day, another platform based on Rockchip RK3566 quad-core Cortex-A55 AIoT processor with Boardcon EM3566 SBC powered by a Rockchip RK3566 based System-on-Module (SoM). The single board computer comes with up to 2 to 8GB LPDDR4 RAM, 4GB to 32GB eMMC flash, SATA and NVMe SSD support, HDMI, MPI DSI, and eDP display interfaces, Gigabit Ethernet, as well as expansion options through M.2 and mPCIe sockets. CM3566 RK3566 System-on-Module Let’s check out CM3566 CPU module which offers the following specifications: SoC – Rockchip RK3566 with a quad-core Cortex-A55 processor @ up to 1.8GHz, Arm Mali-G52 2EE GPU with support for OpenGL ES 1.1/2.0/3.2. OpenCL 2.0. Vulkan 1.1, 0.8 TOPS AI accelerator, 4K H.265/H.265/VP9 video decoder, 1080p100 H.265/H.264 video encoder. System Memory – 2GB LPDDR4 (up to 8GB) Storage – 4GB eMMC flash (Up to 32GB) 186 castellated holes with signals for Storage – 2x SDMMC, SATA Display – LVDS/MIPI DSI, […]
MagikEye Developer Kit enables 120 fps 3D sensing on Raspberry Pi
MagikEye ILT001 developer kit (DK-ILT001) is a low-latency 3D sensing kit that connects to the Raspberry Pi’s MIPI CSI camera connector and features the company’s Invertible Light Technology (ILT) module with an infrared laser and a CMOS image sensor. The company says a “unique algorithm” developed in-house can generate 3D point cloud datasets acquired at high speeds (up to 120 fps) and with very low latency using simple hardware configuration. The kit targets researchers, students, and hobbyists working on machine vision, robotics, automated carriers, and other projects that can benefit from low-latency 3D sensing. MagikEye DK-ILT001 kit key features and specifications 850nm infrared light laser CMOS image sensor Range up to 1.5 meters (15 to 80 cm recommended) Compatibility – Raspberry Pi Zero W/3B/3B+/4 Power Supply – 3.3V (via MIPI Interface on Raspberry Pi) Power Consumption – 0.6W (average) Dimensions – 44 x 24 x 16 mm (within enclosure) Weight […]
LP-AM243 dual Gigabit Ethernet MCU board features TI Sitara AM243x Cortex-R5F microcontroller
The few microcontroller boards that get Ethernet, are often limited to 10 Mbps or 100 Mbps, but the LP-AM243 LaunchPad development kit comes with two Gigabit Ethernet ports controlled by the newly announced 800 MHz Texas Instruments Sitara AM243x Cortex-R5F microcontroller with industrial communication and security features. TI Sitara AM243x Cortex-R5F microcontroller The Sitara AM243x is the first family of microcontrollers part of the larger Sitara AM2x MCU series that, a bit like NXP i.MX RT crossover processors, aims to combine the advantages of traditional microcontrollers and microprocessors by leveraging the real-time capabilities of the former and the high performance of the latter, but in a way optimized for industrial communication and safety. The Sitara AM243x family is comprised of three processors with one, two, or four cores with the following key features and specifications: CPU AM2431 – Single-core Cortex-R5F real-time core @ 800 MHz with 128KB TCM AM2432 – Dual-core […]
Kendryte K510 tri-core RISC-V AI processor deliver up to 3 TOPS
Kendryte K510 is a 64-bit tri-core RISC-V processor clocked at up to 800 MHz with AI accelerators that succeed the 400 MHz Kendryte K210 dual-core RISC-V AI processor released a few years ago first in Kendryte KD233 board, and then boards like Maxduino or Grove AI HAT conveniently programmable with Arduino or Micropython. Canaan formally announced the processor yesterday at the 2021 World Artificial Intelligence Conference claiming K510 had three times the performance of K210 making it suitable for UAV high-definition aerial photography, high-definition panoramic video conferences, robotics, STEAM education, driver assistance scenarios, and industrial and professional cameras. The press release did not have much information, but multiple sources provided additional details to CNX Software, so we have Kendryte K510 specifications: Processor – 2x 64-bit RISC-V processor @ 800 MHz, and 1x 64-bit RISC-V core @ 800 MHz with DSP extension AI subsystem with 3 TOPS in total KPU: General […]
TI AM64x 7-core processor is made for PLC’s, motor drives, industrial robots
Texas Instruments AM64x is a family of 64-bit Arm processors with functional safety designed for Programmable Logic Controllers (PLC), motor drives, remote I/O, and industrial robots. The top-end processor of the family, AM6442, comes with seven cores including two Cortex-A53 application cores, four Cortex-R5F real-time cores, and one Cortex-M4F isolated core. AFAICT, while the documentation is dated January 2021 and TI announced the processor in February in a blog post with a cryptic title, it was only first picked up by Embedded Computing in early May. Besides the processor itself, TI also provides an AM64x starter kit and a full-featured AM64x evaluation kit, and several companies are already preparing development boards and modules as we’ll see further below. TI AM64x processor AM64x key features & specifications: CPU cores Dual-core Arm Cortex-A53 processor @ 1.0 GHz with 256KB L2 shared cache with SECDED ECC, 32KB L1 D-cache, 32KB L1 I-cache Up […]
Aetina DeviceEdge Mini Edge AI computers support NVIDIA Jetson SO-DIMM modules
NVIDIA Jetson modules offer a wide range of AI performance starting from the entry-level 492 GFLOPS Jetson Nano module up to the 32 TOPS Jetson AGX Xavier platform. That’s probably Aetina decided to offer its DeviceEdge Mini AI edge solution with either Jetson Xavier NX, Jetson Nano, or Jetson TX2 NX pin-compatible SO-DIMM modules designed for applications in smart transportation, factories, retail, healthcare, AIoT, robotics, etc… The three models M1, M2, and M3 can all take the Jetson modules listed above, and come in a very similar form factor with the following key features: Common features: Storage – 128GB M.2 NVMe SSD (default) Video Output – Micro HDMI 1.4 connector Networking – Gigabit Ethernet RJ45 port, optional WiFi/Bluetooth M.2 module USB – 1x USB Type-C OTG only port Expansion 1x M.2 2242 M-key socket fitted with NVMe SSD 1x M.2 2230 E-key socket for optional Wifi/BT function 1x DB15 male […]
reServer 2-bay multimedia NAS is equipped with an Intel Core Tiger Lake SBC
Seeed Studio has just introduced reServer dual-bay multimedia NAS based on Intel Core i3/i5/i7 Tiger Lake 11th generation processor. The networked storage device is based on ODYSSEY X86 V2 single board computer that offers an upgrade to the ODYSSEY-X86J4105 and ODYSSEY-X86J4125 Gemini Lake SBC’s. reServer comes with up to to 64GB dual-channel memory, dual 2.5GbE, support for two 3.5-inch SATA drives, HDMI and DisplayPort video output, and some USB 3.0/2.0 ports. reServer (preliminary) specifications: SoC (one or the other) Intel Core i3-1115G4 dual-core/quad-thread processor with 48 EU Intel UHD Graphics @ 400 – 1250MHz; 28W TDP Unnamed Intel Core i5 with 80 EU Intel Iris Xe Graphics G7 @ 400-1300MHz; 28W TDP Unnamed Intel Core i7 with 96 EU Intel Iris Xe Graphics G7 @ 400-1300MHz; 28W TDP Co-processor – Microchip ATSAMD21G18 32-Bit Arm Cortex-M0+ microcontroller System Memory – Up to 64GB dual-channel DDR4-3200 SDRAM via two SO-DIMM sockets Storage […]