Vision FPGA SoM Integrates Audio, Vision and Motion-Sensing with Lattice iCE40 FPGA (Crowdfunding)

Vision FPGA SoM

tinyVision.ai’s Vision FPGA SoM is a tiny Lattice iCE40 powered FPGA module with integrated vision, audio, and motion-sensing capability with a CMOS image sensor, an I2S MEMS microphone and a 6-axis accelerometer & gyroscope. The module enables low power vision (10-20 mW) for battery-powered applications, can interface via SPI  to a host processor as a storage device, comes with open-source toolchain and sample code, and is optimized for volume production. Vision FPGA SoM specifications: FPGA – Lattice iCE40UP5k FPGA with 5K LUT’s, 1 Mb RAM, 8 MAC units Memory – 64 Mbit QSPI SRAM for temporary data Storage – 4 Mbit QSPI Flash for FPGA bitstream/code storage Sensors Himax HM01B0 CMOS image sensor Knowles MEMS I2S microphone, expandable to a stereo configuration with an off-board I2S microphone InvenSense IMU 60289 6-axis Gyro/accelerometer I/Os 4x GPIOs with programmable IO voltage SPI host interface with programmable IO voltage Misc – Tri-color LED, […]

Wandboard 8MPLUS SBC Gets NXP i.MX 8M Plus SoC with 2.3TOPS NPU

Wandboard 8MPLUS

TechNexion Wandboard Dual was one of the first Freescale i.MX 6 single board computers when it launched in early 2013 and the company has introduced a few more models over the years including Wandboard QuadPlus in 2017. TechNexion is now working on a new version called Wandboard 8MPLUS powered by the recently announced NXP i.MX 8M Plus SoC that features a built-in 2.3 TOPS NPU for AI acceleration. Wandboard 8MPLUS preliminary specifications: EDM System-on-Module SoC – NXP i.MX8M Plus quad-core Arm Cortex-A53 processor @ up to 1.8 GHz, Arm Cortex-M7 real-time core @ up to 800 MHz, Vivante GC7000UL 3D GPU, Vivante GC520L 2D GPU, HiFi 4 audio DSP, and 2.3 TOPS Neural Processing Unit (NPU) System Memory – 2GB or 4GB LPDDR4 Storage – 32GB eMMC flash Video Decode – HD (1080p +720p) Video Encode – 1080p60 H.265, H.264 260-pin EDM Type G board-to-board connector Debugging – JTAG Interface […]

Exor nanoSOM nS02 System-on-Module Features the 800MHz version of STM32MP1 Processor

800 MHz-STM32MP1 System-on-Module

Arrow Electronics and Exor Embedded have announced the nanoSOM nS02 system-on-module based on the 800MHz version of STMicro STM32MP1 microprocessor unveiled last February. The 25.4 x 25.4mm module is designed for IoT edge applications such as smart IoT controllers and gateways, cloud edge interfaces, and building automation. A supporting development kit can also be provided by Arrow Electronics. NanoSOM nS02 specifications: SoC -STMicro STM32MP157 dual-core Cortex-A7 processor @ 800MHz with 3D GPU System Memory – Up to 1GB DDR3L Storage – Up to 32GB eMMC flash, 4KB EEPROM USB & Ethernet Hub – Microchip LAN9512 controller 131x solder pads with Storage – 2x SD Video Output – 24-bit RGB LCD parallel or 2-lane MIPI DSI Camera Input – 8,10,12-bit video input Audio – 1x I2S channel Networking – 2x 10/100M Ethernet (one native, one via USB hub) USB – 2x USB 2.0 host, 1x USB OTG 4x SPI, 1x I2C, […]

Espressif and Amazon Introduce ESP32-PICO-V3-ZERO Alexa Connect Kit Module

ESP32-PICO-V3-ZERO

Espressif Systems & Amazon have recently announced ESP32-PICO-V3-ZERO Alexa Connect Kit (ACK) module providing out-of-box connectivity to ACK cloud services, support for features such as Alexa control, “Frustration-Free Setup” and Amazon Dash replenishment for connected devices. The tiny (23 x 16 x 2.3mm) module is based on the company’s ESP32-PICO-V3 System-in-Package (SiP) based on ESP32-V3 dual-core Xtensa LX6 WiFI and Bluetooth SoC, a 4 MB SPI flash, a crystal oscillator, filter capacitors, and an RF matching network. The module supports 2.4 GHz 802.11 b/g/n WiFi, Bluetooth, and Bluetooth Low Energy connectivity and comes with a PCB antenna and a u.FL connector to plug in an external antenna [Update: That should be an RF test connector instead, see comments]. ESP32-PICO-V3-ZERO module interfaces to a host MCU through a UART interface, and to speed-up time-to-market the module comes pre-certified for regulatory certifications such as FCC, CE, SRRC, IC, and RCM. The module […]

Raspberry Pi Compute Module 4 Coming Next Year with PCIe/NVMe Support

Raspberry Pi Compute Module 4

The Raspberry Pi 4 features a Broadcom BCM2711 processor with Cortex-A72/A53 cores that makes it competitive against other SBC’s based on Rockchip RK3399 or Amlogic S922X/A311D processors. The new processor also happens to have a PCIe interface, but it’s not exposed on the board since the interface is used by VIA VL805 PCIe USB 3.0 controller for the four USB 3.0 ports on the little computer. At the time, we expected the PCIe interface to be exposed in future Raspberry Pi boards or a Raspberry Pi Compute Module 4. But some people did not feel like waiting and instead hack the Raspberry Pi 4 SBC to access the PCIe interface. That hack is clearly not for everyone though… But based on a recent interview of Eben Upton with Tom’s Hardware we got pretty much confirmation that the Raspberry Pi Compute Module 4 will be coming next year, and expose PCIe […]

J721E DRA829/TDA4VM/AM752x – Texas Instruments Cortex-A72 based Monster SoC’s

J721E DRA829 TDA4VM AM752x Block Diagran

Texas Instruments unveiled their first 64-bit processor in 2018 with TI AM654 “Keystone III” quad-core Arm Cortex-A53 + dual lockstep Cortex-R5F processor designed for general embedded and industrial applications. The company is now working on a more powerful processor with J721E SoC with Cortex-A72 cores belonging to the K3 Multicore SoC architecture platform appearing in TI Linux git repository. Ti J721E is a monster of an SoC, not necessarily in terms of CPU processing power, but it has an amazing amount of features and peripherals. I’m not going to list all specifications of this monster SoC, and we’ll do with J721E highlights instead: CPU Dual Cortex-A72 up to 2.0 GHz in a single cluster Up to three clusters of lockstep capable dual Cortex-R5F MCUs @ 1.0 GHz AI Accelerator / DSP Deep-learning Matrix Multiply Accelerator (MMA) @ up to 1.0 GHz (8 TOPS for 8-bit inference) C7x floating-point Vector DSP […]

Linux powered STMicro STM32MP1 Solder-down QFN-Style SoM Measures 27x27mm

STM32MP1 Solder-down QSMP SoM

STMicro STM32MP1 Cortex A7/M4 processor was launched last year with support for Linux and Android. Since then we’ve seen a few STM32MP1 SBC‘s, development kit and modules,  with some of the latter really compact with DHCOR STM32MP157 SoM found on Avenger96 board measuring just 29x29mm. Direct Insight has now unveiled QFN-style solder-down QSMP systems-on-module based on STM32MP1 that measure just 27 x 27 x 2.3mm and manufactured in Germany by Ka-Ro Electronics. Direct Insight / Ka-Ro STM32MP1 QSMP modules specifications: SoC QSMP-1510 module – STMicro STM32MP151A single-core Cortex-A7 processor up to 650 Mhz, plus Arm Cortex-M4 real-time core up to 200 MHz QSMP-1530 module – STMicro STM32MP153A dual-core Cortex -A7 processor up to 650 MHz, plus Arm Cortex-M4 real-time core up to 200 MHz QSMP-1570 module – STM32MP157C dual-core Cortex -A7 processor up to 650 MHz, plus Arm Cortex-M4 real-time core up to 200 MHz and Vivante 3D GPU with […]

Particle Takes Pre-orders for its Cellular Tracking SoM, Evaluation Kit, and Tracker One Asset Tracker

Tracker Som Evaluation Kit

Earlier this year, Particle announced its Tracking System turnkey solution comprised of Tracker SoM LTE IoT module, Tracker One asset tracker with enclosure, as well as Particle Tracking Services software suite with geolocation services, fleet management, and an open device firmware application framework to integrate with off-the-shelf IoT sensors and enable OTA firmware updates. The hardware devices were expected for June/July 2020, and the company has now started to take pre-orders for Tracker SoM, its evaluation kit, and Tracker One for respectively $79.99, $99.99, and $127.99. Shipping is expected to start in August 2020. We already covered Tracker SoM in our initial article with the full specifications, but basically, it’s a Nordic Semiconductor nRF52840 powered module with 8MB flash, ESP32 for WiFI (including support for indoor location),  U-blox Neo-M8U GNSS module, and a choice of Quectel BG96 LTE CAT M1 module for the US or Quectel EG91-X CAT 1 module […]

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