Raspberry Pi CM4 compatible module coming soon with Amlogic A311D CPU

Raspberry Pi CM4 Amlogic A311D

Despite assurances by Eben Upton that there’s no supply shortage of Raspberry Pi CM4 modules for commercial and industrial customers, installations or projects requiring just a few modules may be out of luck. So alternatives are needed, and after seeing Rockchip RK3566-based SoMs compatible with Pi CM4, namely the Pine64 SoPine and Radxa CM3, Banana Pi is working on a Raspberry Pi CM4 compatible module powered by Amlogic A311D hexa-core Arm Cortex-A73/A53 processor. Banana Pi BPI-CM4 specifications: SoC – Amlogic A311D hexa-core processor with 4x Arm Cortex-A73 @ 2.0 GHz and 2x Arm Cortex-A53 @, Arm Mali-G52 MP4 (6EE) GPU, 5 TOPS NPU System Memory – 2GB/4GB LPDDR4 RAM Storage – 16GB eMMC flash (up to 128GB) Networking – Gigabit Ethernet PHY on-module, optional WiFi 5/6 module with on-board PCB antenna and external antenna 2x 100-pin high-density board-to-board connector (mostly) compatible with Raspberry Pi CM4 with 1x HDMI, 1x MIPI […]

Microchip SAMA7G54 is a single-core Arm Cortex-A7 microprocessor for low power AI camera & audio applications

SAMA7G54 evaluation kit

Microchip has just announced the 1 GHz SAMA7G54 single-core Arm Cortex-A7 microprocessor (MPU) with MIPI CSI-2 and parallel camera interfaces, as well as up to four I2S, one SPDIF transmitter and receiver, and a 4-stereo channel audio sample rate converter. The company specifically launched a single-core processor to offer a lower power solution for AI camera and audio solutions, and the chip is coupled with the MCP16502 power management IC that has been optimized to provide the best power/performance ratio for the SAMA7G54. Microchip SAMA7G54 specifications: CPU – Arm Cortex-A7 based MPU @ up to 1GHz with 256KB L2 cache Memory – DDR2/DDR3/DDR3L/LPDDR2/LPDDR3 up to 533MHz Storage – Quad SPI, Octal SPI, 3x SD/eMMC Camera I/F – MIPI CSI-2 (2-lane up to 1.5 Gbps each) and 12-bit parallel camera Up to 8 Mpixel @ 30 fps Audio – Up to 4x I2S, PDM, SPDIF (Rx/Tx), 4 stereo channel ASRC Networking […]

Geniatech launches OSM Size-L modules with Renesas RZ/G2L, Rockchip RK3566

Rockchip RK3566 OSM module

Geniatech has introduced LGA system-on-modules compliant with the SGET OSM (Open Standard Module) Size-L standard and designed to be soldered directly on the carrier board. Two models have been launched with the SOM-G2L-OSM equipped with Renesas RZ/G2L Arm Cortex-A55/M33 processor, and the SoM-3566-OSM powered by a Rockchip RK3566 quad-core Cortex-A55 SoC. SOM-G2L-OSM module Specifications: SoC – Renesas RZ/G2L dual-core Cortex-A55 processor, Cortex-M33 real-time core,  Arm Mali-G31 GPU, H.264 video encoder/decoder System Memory – 1GB RAM (2GB/4GB optional) Storage – 8GB eMMC flash (16GB/32GB optional) 662 contacts with Display – 1x MIPI DSI, 1x RGB Camera – 1x MIPI CSI Audio – I2S Networking – 2x Gigabit Ethernet USB – 1x USB OTG 2.0, 1x USB 2.0 host Serial – 2x CAN bus SDIO 3.0 Low-speed I/Os – 5x UART including debug, 2x I2C, 3x SPI, 3x PWM, 16x GPIO, 2x ADC Dimensions – 45 x 45 mm (OSM Size-L form […]

Turing Pi 2 mini-ITX cluster board supports RK3588 based Turing RK1, Raspberry Pi CM4, and NVIDIA Jetson SoMs (Crowdfunding)

Turing Pi 2

We first covered the Turing Pi V2 mini-ITX cluster board supporting up to four Raspberry Pi CM4 or NVIDIA Jetson SO-DIMM system-on-module in August 2021. The company has now launched the Turing Pi 2 on Kickstarter with a little surprise: the Turing RK1 module with Rockchip RK3588 Cortex-A76/A55 processor and up to 32GB RAM. The board allows you to mix and match modules (e.g. 3x RPi CM4 + 1x Jetson module as on the photo below), and with SATA ports, Gigabit Ethernet networking, USB 3.0 ports, mPCIe socket, you could build a fairly powerful homelab, learn Kubernetes, or self-host your own apps. Turing Pi 2 specifications: SoM interface – 4x 260-pin SO-DIMM slots for up to four Raspberry Pi CM4 with Broadcom quad-core Cortex-A72 processor, up to 8GB RAM, up to 32GB eMMC flash (adapter needed) NVIDIA Jetson Nano/TX2 NX/Xavier NX SO-DIMM system-on-modules with up to 6x Armv8 cores, and […]

Trying out Edge Impulse machine learning platform on XIAO BLE Sense board

double-sided sticky tape boards

I had seen the Edge Impulse development platform for machine learning on edge devices being used by several boards, but I hadn’t had an opportunity to try it out so far. So when Seeed Studio asked me whether I’d be interested to test the nRF52840-powered XIAO BLE Sense board, I thought it might be a good idea to review it with Edge Impulse as I had seen a motion/gesture recognition demo on the board. It was quite a challenge as it took me four months to complete the review from the time Seeed Studio first contacted me, mostly due to poor communications from DHL causing the first boards to go to customs’ heaven, then wasting time with some of the worse instructions I had seen in a long time (now fixed), and other reviews getting in the way. But I finally managed to get it working (sort of), so let’s […]

ZUBoard 1CG – A low-cost AMD Xilinx Zynq UltraScale+ ZU1CG MPSoC FPGA development board

ZUBoard 1CG development board

Avnet ZUBoard 1CG is a development board featuring the new entry-level AMD Xilinx Zynq UltraScale+ ZU1CG dual-core Cortex-A53 MPSoC with 81K FPGA system logic cells, equipped with 1GB LPDDR4 RAM, as well as SYZYGY connectors and mikroBus expansion for Click boards. Priced at $159, the board may offer a good opportunity to get started with Zynq UltraScale+ MPSoC, as it’s quite cheaper than boards based on ZU3 devices such as Ultra96-V2 or MYD-CZU3EG. Avnet says the board is suitable for artificial intelligence, machine learning, embedded vision, embedded processing, and robotics applications. ZUBoard 1CG specifications: SoC – AMD/Xilinx ZU+ MPSoC ZU1CG with Dual Cortex-A53 APU @ up to 1.3 GHz and dual Cortex-R5 RPU @ up to 533 MHz 256KB On-chip Memory 81,900 FPGA Logic Cells System Memory – 1GB LPDDR4 with on-chip ECC Storage – 256Mbit QSPI flash, microSD card, both bootable Networking –  10/100/1000M Gigabit Ethernet RJ45 port USB […]

MediaTek unveils Genio 1200 premium AIoT processor with 4.8 TOPS NPU

MediaTek Genio 1200

MediaTek has introduced the Genio platform for AIoT devices, and unveiled the first chip of the Genio family with the Genio 1200 Octa-core Cortex-A78/A55 processor with a 4.8 TOPS NPU, 4K video support, and designed for premium AIoT products. The chip is manufactured with a 6nm processor, is said to consume less than 8W, supports dual 4Kp60 video output and up to 48MP @ 30 fps video capture, and  WiFi 6, Bluetooth 5.2 and 5G connectivity can be added through add-in chips. Targets applications include Smart Home appliances, HMI, industrial IoT, robotics, and more. MediaTek Genio 1200 key features and specifications: CPU – Octa-core processor with four Cortex-A78 cores @ up to 2.2 GHz, four Cortex-A55 cores GPU – Arm Mali-G57 MC5 GPU VPU Encoding up to 4Kp60 with H.265/HEVC Decoding up to 4Kp90, AV1, VP9, HEVC, H.264 codecs supported AI accelerator – Dual-core Mediatek AI processor (APU) with INT8, INT16, […]

Canaan K510 CRB RISC-V AI development kit ships with dual-camera module and LCD display

Canaan K510 dual-core RISC-V AI development board

Last summer, Canaan introduced the Kendryte K510 tri-core RISC-V AI processor, now also known as Canaan K510, as an updated version of the Kendryte K210 with a much higher 3 TOPS of performance, but at the time, there were no development board and SDK. But I’ve now just been informed of the availability of the Canaan Kendryte K510 CRB (customer reference platform) AI development kit with camera module and LCD display, as well as a software development kit with U-Boot, Linux, and AI tools which can be used to develop smart audio and computer vision applications. Kendryte K510 CRB-Kit development kit specifications: SoC – Canaan Kendryte K510 dual-core RISC-V64 CPU up to 800MHz and 1x RISC-V DSP up to 800MHz for up to 3 TOPS AI performance, ultra-low-power wake-up VAD, H.264 video encoding up to 2 channels @ 1080p60 System Memory – 512 MB LPDDR3 @ 1600 MHz Storage – […]

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