Maixduino SBC Combines RISC-V AI, Arduino Form Factor, and ESP32 Wireless Module

Sipeed Maixduino SBC

Last year RISC-V cores made it into low-cost hardware with neural network and audio accelerator to speed up artificial intelligence workloads at the edge such as object recognition, and speech processing. More precisely, Kendryte K210 dual-core RISC-V processor was found in Sipeed MAIX modules and boards going for $5 and up. Since then a few other variants and kits have been made available including Seeed Studio Grove AI HAT that works connected to a Raspberry Pi or in standalone mode. Seeed Studio has now released another board with Kendryte K210 RISC-V AI processor, but based on Arduino UNO form factor and equipped with an ESP32 module for WiFi and Bluetooth connectivity. Meet Sipeed Maixduino SBC. Sipeed Maixduino specifications: AI Module – Sipeed M1 with Kendryte K210 dual-core RISC-V processor @ 600 MHz, KPU Convolutional Neural Network (CNN) hardware accelerator, APU audio hardware accelerator, 8 MB general purpose SRAM including 5.9MB usable as AI SRAM memory Wireless Module – Espressif Systems …

Onion Omega2 LTE Board Combines WiFi, 4G LTE and GNSS Connectivity (Crowdfunding)

Onion Omega2 LTE

Onion has launched several compact OpenWrt WiFi boards for IoT projects over the years starting with their Onion Omega board in 2015, and the latest so far being Onion Omega2 Pro with a massive 8GB storage. The company has now launched a new model with 4G LTE connectivity called Onion Omega2 LTE, based on Omega2S+ module, and also featuring GNSS global satellite positioning capability. Onion Omega2 LTE specifications: WiFi Module – Onion Omega2S+ IoT computer module with MediaTek MT7688 MIPS CPU @ 580 MHz, 128 MB RAM, 32 MB storage Cellular and GNS Module – Quectel EC25 LTE Cat 4 modem that delivers 150 Mbps downlink and 50 Mbps uplink data rates, provided either for North America or global markets External Storage – MicroSD card slot up to 2 TB (once such cards become available…) Connectivity 2.4 GHz 802.11 b/g/n Wi-Fi 4 + onboard 2 dBi direction chip antenna & U.FL connector for external antenna Cellular North America (Note: not …

299 Euros Motorola One Vision Smartphone Features Samsung Exynos 9609 SoC

Motorola One Vision

I find most new phones’ announcements rather boring, but Motorola One Vision is somewhat interesting as it’s one of the rare non-Samsung phones to features an Exynos processor, more specifically Exynos 9609 which has not been seen in any other smartphones so far. Its other highlight is the 48MP camera sensor normally found in premium phones, and not in a 299 Euros device. Motorola One Vision specifications: SoC – Samsung Exynos 7609 octa-core processor with 4x Cortex-A73 @ 2.2GHz,  4x Cortex-A53 @ 1.6GHz, and Arm Mali G72MP3 System Memory – 4GB LPDDR4 Storage – 128GB internal storage, microSD card slot Display – 6.3″ LCD touch screen display with 2520 x 1080 resolution (21:9 aspect ratio) Camera 48MP rear camera with OIS based on IMX586 sensor 5MP Depth sensor 25MP front-facing camera Audio – 3.5mm headphone jack Wireless connectivity Cellular – 1x nanoSIM + 1x nanoSIM/microSD hybrid 802.11ac Wave 2 Wi-Fi 2×2 MIMO Bluetooth 5.0 LE USB – 1x USB type-C …

SiFive RISC-V Processors to Support Imagination PowerVR GPU and NNA IP Cores

SiFive RISC-V PowerVR GPU

RISC-V is getting more popular and mature as development progress, but if you want a system with RISC-V and a GPU so far you had to use a PCIe graphics card which is not cost-effective nor practical for most applications based on RISC-V processor. What is needed is some GPU IP that will glue with RISC-V core. Developing a new GPU is not an easy task (understatement of the month) so it would make sense to go with solutions available on the market. However, Arm Mali is tied to Arm Cortex cores and Arm is unlikely to want to help RISC-V take away their market share, and Adreno and VideoCore are owned by respectively Qualcomm and Broadcom which are unwilling to provide their GPU IP to third parties. This basically leaves us with Vivante and Imagination. Vivante may have made the most sense since open-source graphics drivers do exist (Etnaviv), but instead, I’ve just learned that SiFive added Imagination Technologies …

Google Glass Enterprise Edition v2 Features Snapdragon XR1 Processor

Google Glass Enterprise Edition v2

To be honest, I was pretty happy when it was clear that smart glasses for the consumer market would not take off, and I would be living in a better, smart glasses-free, world. But I also reckoned that those could have use in professional settings, and Google Glass Enterprise edition was first spotted in 2015 with an Atom processor. The company has now launched an upgraded model with Google Glass Enterprise Edition v2 powered by Qualcomm Snapdragon XR1 eXtended reality (XR) platform. Google Glass Enterprise Edition v2 specifications: SoC – Qualcomm Snapdragon XR1 quad-core Kryo processor @ 1.7GHz with Adreno GPU, Qualcomm AI Engine for on-device processing; 10nm manufacturing process System Memory – 3GB LPDDR4 Storage – 32GB eMMC flash storage Display – 640×360 Optical Display Module Audio out – Mono Speaker, USB audio, BT audio Microphones – 3 beam-forming microphones Camera – 8MP, 80 DFOV Connectivity – Wi-Fi 5 802.11ac, dual-band, single antenna and Bluetooth 5.x AoA (Angle of …

Espressif ESP32-S2 Secure WiFi MCU Comes with an Xtensa LX7 Core @ 240 MHz

ESP32-S2

Espressif Systems has unveiled a new ESP32 WiFi MCU based on Cadence (previously Tensilica) Xtensa LX7 core instead of the usual Xtensa LX6 core(s). ESP32-S2 is powered by a single Xtensa LX7 core clocked at 240 MHz, supports Wi-Fi HT40 @ 2.4 GHz, and provides up to 43 GPIOs. Espressif ESP32-S2 specifications: CPU – Cadence Xtensa single-core 32-bit LX7 microcontroller @ up to 240 MHz, and ultra-low-power co-processor System Memory – 320 kB SRAM, external SPIRAM support up to 128 MB in total, 16 KB RTC memory Storage –  128 kB ROM, up to 1 GB of external flash support Connectivity Wi-Fi 802.11 b/g/n 1×1 transmit and receive with HT40 support with data rate up to 150 Mbps Support for TCP/IP networking, ESP-MESH networking, TLS 1.0, 1.1 and 1.2 and other networking protocols over Wi-Fi Support Time-of-Flight (TOF) measurements with normal Wi-Fi packets I/O & peripherals 43x programmable GPIOs 14x capacitive touch sensing IOs SPI, I2C, I2S, UART, ADC/DAC, and …

Top 5 Raspberry Pi Alternatives in 2019

Raspberry Pi Alternatives 2019

The Raspberry Pi boards are great little Arm Linux SBC’s with a low price and great community support. But the Broadcom processors used in the boards are also fairly old so they may not be suitable for some projects. If your application needs or would benefit from modern features such as memory over 1GB RAM, an actual Gigabit Ethernet port, USB 3.0 port(s), 4K video output, or H.265 hardware video decoding you’ll have to find Raspberry Pi alternatives. I’ll point out 5 alternative single board computers in this post from the point of view of existing Raspberry Pi users, who will want good software support and a board with the same or similar form factor as Raspberry Pi 3 Model B/B+ in order to reuse their add-on boards and/or enclosures. Price has to be competitive as well, so nothing above $80 will be mentioned. The boards are not listed in any particular order. Pine64 Rock64 The Rock64 board is ideal …

E-ALE is a Free & Open Source Linux Training Program for Embedded Engineers

E-ALE official hardware kit

As I wrote about the Embedded Linux Conference 2019 schedule a few days ago, I found out one of talk planned to use E-ALE hardware kit for the session. I had never heard about this kit, but a quick search led me to e-ale.org website which explains E-ALE stands for Embedded Apprentice Linux Engineer. The training program is made for embedded engineers with experience designing firmware for microcontrollers, but now need to transition to embedded Linux. Training only happens in-person (no webinar) at existing Embedded Linux conferences and is comprised of 8 to 9 seminars over 2 to 3 days. It usually starts with a presentation on one subject, followed by lab time to practice the relevant learned skills. The training takes place on the E-ALE kit at each conference, but it does not refer to a specific hardware platform. In most conferences, the PocketBeagle and BaconBits add-on board are used to lab sessions, but for example this year at …