We’ve very recently covered M5paper IoT development kit based on ESP32 WiSoC, and equipped with a 4.7-inch touchscreen e-Ink display together with a 1,150mAh battery all nicely packed into an enclosure. It looks great, but costs $69, so if you’d like to integrate this type of ESP32 connected display into your own project at a lower cost, you may be interested in TTGO T5 4.7-inch e-Paper display with 16 gray levels fitted with an ESP32-WROVER-E module with 16MB flash, and 8MB PSRAM. TTGO T5 key features and specifications: Display 4.7-inch ePaper display with 960×540 resolution, 16 gray levels , partial refresh support 6-pin FPC touchscreen connector Wireless module – ESP32-WROVER-E with ESP32-D0WDQ6 V3 dual-core processor, 16MB flash, 8MB PSRAM USB – 1x USB-C port Expansion – 4-pin connector with GPIOs, GND, 3.3V Misc – 1x reset button, 4x user buttons Debugging – USB-C port connected to USB to TTL CP2104 chip Power Supply 5V/1A via USB-C port 18650 battery metal […]
SolidRun already offers NXP based solutions with AI accelerators through products such as SolidRun i.MX 8M Mini SoM with Gyrfalcon Lightspeeur 2803S AI accelerator, or Janux GS31 Edge AI server with NXP LX2160A networking SoC, various i.MX 8M SoCs and up to 128 Gyrfalcon accelerators. All those solutions are based on one or more external Gyrfalcon AI chips, but earlier this year, NXP introduced i.MX 8M Plus SoC with a built-in 2.3 TOPS neural processing unit (NPU), and now SolidRun has just unveiled the SolidRun i.MX 8M Plus SoM with the processor together with development kits based on HummingBoard carrier boards. Specifications: SoC – NXP i.MX 8M Plus Dual or Quad with dual or quad-core Arm Cortex-A53 processor @1.6 GHz (industrial) / 1.8 GHz (commercial), with Arm Cortex-M7 up to 800MHz, Vivante GC7000UL 3G GPU (Vulkan, OpenGL ES 3.1, OpenCL 1.2), 2.3 TOPS NPU, 1080p60 H.264/H.265 video encoder, 1080p60 video decoder (H.265, H.264, VP9, VP8), Candence HiFi4 audio DSP System […]
Quantum Mini may be yet another Allwinner H3 Arm Linux development board, but what makes it special is the company used the standard M.2 Key-A 22mm form factor to create Quark-N Allwinner H3 system-on-module with storage and memory. The kit is completed by Atom-N baseboard that takes the M.2 module and offers two USB 2.0 ports, one USB Type-C port, as well as 2.4 GHz WiFi 4 and Bluetooth 4.0 connectivity, and a MicroSD port for additional storage. Quantum Mini development kit specifications: Quark-N SoM SoC – Allwinner H3 quad-core Cortex-A7 @ 1GHz with Mali-400MP2 GPU System Memory – 512MB LPDDR3 Storage – 16GB eMMC flash Interfaces exposed via M.2 connector – Ethernet, SPI, I2C, UART, GPIO, MIC, LINEOUT Dimensions – 31 x 22mm (6-layer PCB) Temperature Range – 0-80°C Atom-N baseboard M.2 socket for Quark-N system-on-module Storage – MicroSD card slot Display – TFT display Connectivity – 2.4 GHz 802.11 b/g/n WiFi 4 and Bluetooth 4.0 via RTL8723BU module […]
Arduino is well-known for its maker boards and shields that are sometimes sold as part of kits to experiment with electronics. Arduino Oplà IoT kit is a little different as it looks more like an actual consumer product once assembled. Powered by an Arduino MKR WiFi 1010 board, it is designed to make getting started with IoT easy for beginners, while still allowing more advanced users to customize and hack their smart home applications. Arduino Oplà IoT Kit is comprised of several hardware components: MKR IoT carrier with a 1.2-inch OLED color display, onboard environmental sensors (temperature, humidity, pressure, light, and proximity), IMU sensor, Grove connectors, two 24V relays, and five capacitive touch buttons. Arduino MKR WiFi 1010 board powered by Microchip SAMD21 Cortex-M0+ MCU and equipped with a 2.4 GHz WiFi 4 and Bluetooth 4.2 module based on ESP32 chip. Sensors – PIR motion sensor and moisture sensor A circular plastic enclosure Various cables No soldering is required with […]
Last July, we missed Qualcomm’s announcement of QCS410 and QCS610 processors designed to bring “premium camera technology, including powerful artificial intelligence and machine learning features formerly only available to high-end devices, into mid-tier camera segments”. The new SoC’s were recently brought to our attention by Lantronix as they have just introduced a new Open-Q 610 micro system-on-module (μSOM) based on Qualcomm QCS610 processor, as well as a development kit designed to bring such smart cameras to market. I first got a bit confused by the product name, but this goes without saying that it is completely unrelated to Qualcomm Snapdragon 610 announced over six years ago. Open-Q 610 micro system-on-module Open-Q 610 specifications: SoC – Qualcomm QCS610 CPU – Octa-core processor with 2x Kryo 460 Gold cores @ 2.2 GHz (Cortex-A76 class), and 6x Kryo 430 Silver low-power cores @ 1.8GHz (Cortex-A55 class) GPU – Qualcomm Adreno 612 GPU @ 845 MHz, with OpenGL ES 3.2, Vulkan 1.1, OpenCL 2.0 […]
iWave Systems iW-RainboW-G35D is a development kit powered by Xilinx Zynq UltraScale+ ZU19EG Arm Cortex-A53 and FPGA MPSoC coupled with 4GB DDR4 RAM with ECC for the processing system (PS) & 4GB dual-channel DDR4 RAM for the programmable logic (PL). The board is equipped with HDMI 2.0 output/input ports supporting 4Kp60 UHD resolutions, a 10GbE SFP+ cage, FMC+, FMC, FireFly, and QSFP connectors for high-speed transceivers, and more. iW-RainboW-G35D specifications: iW-RainboW-G35M SoM Xilinx Zynq Ultrascale+ ZCU19EG MPSOC (-1 speed) with four Cortex-A53 cores @ 1200 MHz, dual-core Arm Cortex-R5 MPCore up to 600MHz, FPGA fabric with 1,143K logic cells, and Arm Mali-400 MP2 GPU (lower-end ZCU17EG and ZCU11EG MPSoC are also available) System Memory 4GB DDR4 RAM for PS 4GB Dual DDR4 RAM for PL Storage – 8GB eMMC Flash (for boot code) Transceivers PS-GTR Transceivers x 4 @ 6Gbps PL-GTH Transceivers x 32 @ 16.3Gbps PL-GTY Transceivers x 16 @ 32.735Gbps Networking – Gigabit Ethernet PHY USB – USB2.0 […]
NVIDIA Jetson Nano Developer kit was introduced in March 2019 for $99. With a quad-core Cortex-A57 processor, a 128-core Maxwell GPU, and 4GB LPPDR4 RAM, it’s a great low-cost AI platform as we wrote in our Jetson Nano getting started guide where we show how to perform inferences on still images and an RTSP video stream. The company has now gone further in providing an affordable AI computer for developers with the launch of NVIDIA Jetson Nano 2GB Developer Kit with similar features except for the 2GB RAM, and pricing starting at $54 without a wireless adapter or $59 with 802.11b/g/n/ac WiFi 5 USB dongle. Pre-orders are open on sites like Amazon or Seeed Studio and shipping is scheduled to start at the end of the month. If we look at the photo above, there are very few differences against the $99 version, and indeed most of Jetson Nano 2GB Developer Kit specifications are the same as the original devkit: […]
We’ve been covering some 802.11ax WiFI 6 embedded networking boards from Wallys Communications and Compex in the last few months, but 8devices has now entered the fray with Qualcomm IPQ6000/IPQ6010 powered Mango WiFi 6 system-in-module available in commercial or industrial temperature range, as well as as a development kit based on the module. Mango SoM supports dual-band 2×2 MiMo 802.11ax and multi-Gigabit Ethernet connectivity, features up to 2GB RAM, 256MB NAND flash, and runs OpenWrt Linux with target applications including routers, gateways, and access points. Mango SoM Specifications: SoC (one or the other) Qualcomm IPQ6000 quad-core Cortex-A53 processor @ up to 1.2 GHz with hardware NAT engine, HW crypto Qualcomm IPQ6010 quad-core Cortex-A53 processor @ up to 1.8 GHz with hardware NAT engine, HW crypto System Memory – 512MB DDR3L 512MB (up to 2GB) Storage – 32MB NOR FLASH, up to 256MB NAND flash Networking Wireless 2.4GHz 802.11 b/g/n/ac/ax WiFi 6 2×2 MU-MIMO, explicit beamforming; 22dBm; up to 573.5 Mbps […]
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