NXP i.MX 8M Plus AI Systems-on-Modules and Devkits Launched by Variscite

NXP i.MX 8M Plus processor was unveiled at the very beginning of the year as the first i.MX processor with AI hardware acceleration provided by a 2.3 TOPS Neural Processing Unit (NPU) embedded in the chip. Apart from the upcoming Wandboard 8MPLUS SBC, we had not seen hardware powered by the new processor, but Variscite has now announced two NXP i.MX 8M Plus systems-on-modules – VAR-SOM-MX8M-PLUS and DART-MX8M-PLUS – and corresponding development kits. VAR-SOM-MX8M-PLUS CPU Module & Development Kit Specifications: SoC – NXP i.MX 8M Plus single, dual or quad-core Cortex-A53 processor clocked at up to 1.6 (Industrial/Extended) or 1.8GHz (Commercial), Cortex-M7 real-time core @ 800 MHz, 1080p H265/H264 encode/decode, AI/ML acceleration up to 2.3 TOPS, GC7000UL 3D GPU, GC520L 2D GPU System Memory – 1 to 4GB LPDDR4 Storage – 8 to 64GB eMMC flash Networking – 802.11 ac/a/b/g/n + BT 4.2/BLE module SO-DIMM Edge Connector Storage I/F – 1x SD / MMC, 1x QSPI Video Output HDMI 2.0a …

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$10 System-on-Module Drives Full HD Smart Displays via SigmaStar SSD201 SoC

SigmaStar makes some of the cheapest processors for cameras on the market such as MStar MSC313E SoC. I’ve now been informed about a new low-cost module – IDO-SOM2D01 – based on SigmaStar SSD201 dual-core Cortex-A7 Full HD SoC with 64MB embedded DDR2, 28MB flash, as well as support for Ethernet and WiFi. As far as I understand, there’s no camera input, and instead, the SSD201 processor targets applications leveraging Full HD display for the Smart Home, industrial HMI, and home control systems. Industio IDO-SOM2D01 system-on-module specifications: SoC – SigmaStar SSD201 dual-core Cortex-A7 processor @ 1.2 GHz with 2D GPU, 64MB DDR2 RAM (QFN128 package) Storage – 128MB SPI NAND flash (option up to 2GB) Video  Decoder – H.264/H.265 up to 1920×1080 @ 60 fps 96x castellated holes (1.1mm pitch) with Video Output – 4-lane MIPI DSI up to 1080p60 Audio – 1x analog microphone input, 2x DMIC inputs, 1x Line Out Networking – 2x 10/100M Ethernet interfaces USB – 1x …

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PicoCore RT1 System-on-Module Runs FreeRTOS on NXP i.MX RT1050 Crossover Processor

F&S Elektronik Systeme PicoCore RT1 is a System-on-Module powered by NXP i.MX RT1050 crossover processor designed to offer the real-time capabilities of microcontrollers and the performance of application processors thanks to an Arm Cortex-M7 core clocked at up to 600 MHz. The 40×35 mm module is also equipped with 32MB SDRAM, 256MB “high-reliability QSPI NOR flash, and 16KB EEPROM, and offers various interfaces including Ethernet, RGB LCD, and USB via board-to-board connectors. PicoCore RT1 (V1) SoM specifications: SoC – NXP i.MX RT1050 Arm Cortex-M7 processor @ up to 600 MHz with 32KB L2 cache, 2D graphics accelerator System Memory – 32MB SDRAM Storage – 256MB QSPI Flash, 16KB EEPROM; optional NAND flash 2x 80-pin board-to-board connector with Storage – SD Card Display – 16-bit RG interface, analog resistive and PCAP touch via I2C Networking – 1x 10/100M Ethernet Audio – Line-In, Line-Out, microphone, headphone, I2S USB – 1x USB 2.0 host, 1x USB 2.0 OTG Serial – Up to 2x …

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

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, IR LED for low-light illumination Power Supply Single 3.3 V …

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

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 by through holes PMIC – NXP PCA9450 Carrier Board Storage …

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

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, 2x CAN, 3x UART Analog Inputs GPIOs with interrupt capability …

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

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 comes pre-programmed with the ACK module firmware managed by Amazon …

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

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 signals through the edge connector. The Raspberry Pi Compute Module, …

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