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April 29, 2021April 30, 2021 by Jean-Luc Aufranc (CNXSoft) - 25 Comments

Allwinner Processor 2021-2022 Roadmap – Allwinner T827, T723 and T1033 SoC’s

Last year, we published the Allwinner A-series processor roadmap for 2020-2021 with notably Allwinner A33E, A100, and A200 SoCs. Allwinner A100 was supposed to be released in 2019, but a search on Aliexpress showed exactly zero matches. We did write about Allwinner A100 mainline Linux support a little while ago, and today, I eventually found one Allwinner A100 tablet with the $60 Hyundai HyTab 7WC1. I had no better luck in my search for Allwinner A33E and A200 platforms. But I also got lucky today with another Allwinner roadmap for 2021-2022 with some very interesting new processors, provided they happen. A look at 2020 processors But let’s look at the year 2020 first. We already have most details about Allwinner A133 quad-core Cortex-A53 processor, which is also called T509 apparently following the merging of the Allwinner A-Series business unit, focusing on tablets, into the Allwinner T-Series for industrial & automotive […]

April 28, 2021April 28, 2021 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Xilinx Introduces Kria K26 SoM and vision AI devkit based on Zynq Ultrascale+ XCK26 FPGA MPSoC

Silicon vendors will usually focus on chip design, and provide an expensive evaluation kit to early customers, leaving the design of cost-optimized boards and system-on-modules to embedded systems companies. But Xilinx has decided to enter the latter market with the Kria portfolio of adaptive system-on-modules (SOMs) and production-ready small form factor embedded boards starting with Kria K26 SoM powered by Zynq UltraScale+ XCK26 FPGA MPSoC with a quad-core Arm Cortex-A53 processor, up to 250 thousand logic cells, and a H.264/265 video codec designed for Edge AI applications, as well as computer vision development kit. Kria K26 System-on-Module Kria K26 module specifications: MPSoC – Xilinx Zynq Ultrascale+ custom-built XCK26 with quad-core Arm Cortex-A53 processor up to 1.5GHz, dual-core Arm Cortex-R5F real-time processor up to 600MHz, Mali-400 MP2 GPU up to 667MHz, 4Kp60 VPU, 26.6Mb On-Chip SRAM, 256K logic cells, 1,248 DSP slices System Memory – 4GB 64-bit DDR4 (non-ECC) Storage – […]

April 27, 2021April 27, 2021 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

SiFive Intelligence X280 64-bit RISC-V processor integrates AI extensions

The last RISC-V core announced by SiFive was the U8-Series out-of-order RISC-V Core IP that aims to compete against Arm Cortex-A72 Core. But in their latest announcement, the company built upon the 64-bit RISC-V U7-series with the SiFive Intelligence X280 multi-core, Linux capable RISC-V processor adding vector extensions and SiFive Intelligence Extensions, and optimized for AI/ML compute at the edge. SiFive Intelligence X280 key features: 64-bit RISC-V ISA with 8-stage dual-issue in-order pipeline, coherent multi-core, Linux capable based on U7 series core. SiFive Intelligence Extensions for ML workloads – BF16/FP16/FP32/FP64, int8 to 64 fixed-point data types 512-bit vector register length – Variable-length operations, up to 512-bits of data per cycle High-performance vector memory subsystem Memory parallelism provides cache miss tolerance Virtual memory support with precise exceptions Up to 48-bit addressing SiFive Intelligence includes software solutions to leverage the X280’s features and provide “great AI inference performance” using TensorFlow Lite. No […]

April 26, 2021May 6, 2022 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

M5Stack UnitV2 Linux AI camera features Sigmastar SSD202D SoC

We’ve written about SigmaStar SSD201/SSD202 processors several times now. The low-cost dual-core Cortex-A7 processor comes with 64MB or 128MB built-in RAM, and so far has been found in modules, smart displays, an SBC, and a gateway only available from China via stores like Taobao. But with mainline Linux support progressing nicely, it was only a matter of time until others make a product based on the processor, and M5Stack Unitv2 is an “AI” camera combining SSD202D processor with 128MB DDR3, and a GC2145 2MP camera sensor. M5Stack UnitV2 specifications: SoC – SigmaStar SSD202D dual-core Cortex-A7 processor @ 1.2 GHz with 128MB on-chip DDR3 Storage – 512MB on-chip NAND flash with around 100MB free space, MicroSD card socket Camera GC2145 1080p color sensor with USB UVC support 68° FoV, 60 cm to ∞ depth of field (DoF) Audio – Built-in microphone Connectivity – 2.4GHz WIFi 4 up to 150 Mbps USB […]

April 14, 2021April 14, 2021 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Perf-V Beetle board features GAP8 multi-core RISC-V AI MCU

GreenWaves Technologies introduced the GAP8 low-power RISC-V IoT processor optimized for artificial intelligence applications in 2018. The multi-core (8+1) RISC-V processor is especially suitable for image and audio algorithms including convolutional neural network (CNN) inference. The same year, the company launched the GAPUINO development kit that sold and (still sells) for $229 with QVGA camera and a multisensor board with four microphones, an STMicro VL53 Time of flight sensor, an IR sensor, a pressure sensor, a light sensor, a temperature & humidity sensor, and a 6-axis accelerometer/gyroscope. But there’s now a much more affordable solution to evaluate GAP8 multi-core RISC-V MCU with PerfXLab Perf-V Beetle board. Perf-V Beetle board specifications: MCU – GAP8 IoT Application Processor with 8x RISC-V compute cores, 1x RISC-V fabric controller core delivering up to 200 MOPS at 1mW and >8 GOPS at a few tens of mW System Memory – 64 Mbit SPI SRAM (LY68L6400SLIT) […]

April 13, 2021April 13, 2021 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Arducam Pico4ML Board – TinyML on Raspberry Pi RP2040 with QVGA Camera & Display

A few months ago, ArduCAM demonstrated person detection on Raspberry Pi Pico with Arducam camera using TensorFlow Lite, and later we noted more work was being performed to bring machine learning to RP2040 platforms, notably with the development of Arducam Pico4ML board with a built-in camera and display. At the time, i..e last month, all we had were some renders of the board, but now Arducam Pico4ML pre-orders have launched for $49.99 on UCTRONICS and Tindie stores. Shipping is scheduled to start at the end of the month, so let’s have a closer look. Arducam Pico4ML TinyML devkit specifications: Microcontroller – Raspberry Pi RP2040 dual-core Cortex-M0+ MCU with 264 KB of embedded SRAM Storage – 2MB SPI flash Display – 0.96-inch LCD SPI Display (ST7735) with 160 x 80 resolution Camera – HiMax HM01B0 QVGA camera (320×240 @ 60fps) Audio – Built-in microphone Sensor – IDK ICM-20948 9-axis IMU (gyroscope, […]

April 9, 2021April 9, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

Rugged, fanless quad-camera system brings AI and Machine Vision to rolling stock and automotive applications

quad-camera system automotive AI & machine vision

Eurotech BoltGPU 10-31 is a rugged fanless embedded system powered by NVIDIA Jetson Xavier NX module, equipped with four FAKRA connectors for GMSL camera, and designed to bring Edge AI and machine vision to rolling stock (e.g. trains) and automotive applications. The BoltGPU 10-31 also features 16 GB of eMMC flash, NVMe SSD support, three Gigabit Ethernet interfaces, WiFI 6 and Bluetooth 5.1, two USB3.1 ports, as well as isolated CAN-FD, optoisolated DIO, video out, and GNSS with optional RTK. BoltGPU 10-31 specifications: System-on-Module – NVIDIA Jetson Xavier NX with hexa-core NVIDIA Carmel ARM v8.2 64-bit CPU with 6MB L2 + 4MB L3 cache, 384-core NVIDIA Volt GPU with 48 Tensor Cores (up to 21 TOPS of accelerated computing), 8 GB LPDDR4x RAM, 16GB eMMC 5.1 flash Storage MicroSD card socket Optional 512 GB NVMe SSD on M.2 Key M socket 256 Kbit Serial EEPROM Video Output – 1x Mini […]

April 8, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

Edge AI and robotics embedded computers feature NVIDIA Jetson TX2 NX module

NVIDIA unveiled a cost-down version of the Jetson TX2 module with the Jetson TX2 NX SO-DIMM system-on-module last month, and AAEON is one of the first companies to have updated some of their products with the new module. AAEON’s BOXER-823x-series of fanless embedded computers feature the NVIDIA Jetson TX2 NX module, and multiple Ethernet ports, including some PoE capable for the development of edge AI and robotics applications. BOXER-8230AI AI Edge Fanless Embedded Box PC This model offers a mid-range alternative between the Jetson Xavier AGX NX-based BOXER-8250AI embedded box PC and the Jetson Nano-powered BOXER-8220AI mini PC both of which offer the same ports. BOXER-8230AI specifications: SoM (CPU/Memory/Storage) – NVIDIA Jetson TX2 NX with dual-core NVIDIA Denver 2 64-Bit CPU and quad-core Arm Cortex-A57 MPCore processor @ up to 2.0 GHz, 256-core NVIDIA Pascal GPU @ up to 1.3 GHz, 4GB LPDDR4, 16GB eMMC flash Storage – MicroSD card […]