MEGO Portable Power Supply Breadboard
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Battery powered MEGO Portable Power Supply fits into Breadboards

Breadboard power supplies like MB102 have been around for years, and some  even designed a variable power supply for breadboards, but EVO-IN-MOTION MEGO looks much neater as a fully enclosed power supply, 4 to 24V output, fitted with a LiPo battery, and a display to show current voltage. MEGO enabled on-the-go breadboard projects without any cables for the power supply. Just connect the power supply, and you’re good to go with power delivered from the built-in battery. MEGO power supply specifications: Output Voltage – 4-24V DC Maximum Power – 6W Safety – Overload protection; short circuit protection Typical Power Efficiency – 88% Voltage Display Accuracy – <1% Ripple Voltage – <1% Load Regulation – 270mV Battery – 7.4Whs (2,000 mAh @ 3.7V) Misc – Power button;, adjust knob for output voltage; low battery and charging LEDs Dimensions – 73 x 59 x 32 mm Weight – 100 grams Temperature Range […]

buy pyboard d-series
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Pyboard D-series Wireless Micropython Boards Launched for $56 and Up

We’ve already mentioned the latest Pyboard D-series board at the beginning of February after it was introduced at FOSDEM 2019. The board comes with a powerful STM32F7 Arm Cortex-M7 microcontroller, as well as a WiFi and Bluetooth wireless module. The news is that the board has now launched for £43.80 in.c VAT ($56) and up. A better price comparison with other boards is normally achieved by comparing the ex. VAT price of £36.50 or about $48. That may still feel a bit pricey to some, but there was enough interest to snatch all available “PYBD-SF2-W4F2” boards, and this specific board is out of stock at the time of writing. However, there are multiple variants of the board and PYBD-SF3-W4F2 is still in stock for £58.20 inc. VAT (~$76.5). We’ve now got the full Pyboard D-series “PYBD-SF2-W4F2” specifications: MCU – STMicro STM32F722IEK Arm Cortex M7 microcontroller at 216 MHz with 256KB […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM
ZED depth camera Jetson Nano
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ZED Depth and Motion Tracking Camera Supports NVIDIA Jetson Nano Board

When NVIDIA launched their low cost Jetson Nano development board earlier this week, one reader asked whether it would support binocular depth mapping. It turns out Stereo Labs has updated the SDK (Software Development Kit) for the ZED depth and motion tracking camera in order to support the latest NVIDIA developer kit. Jetson Nano can manage depth and positional tracking at 30 fps in PERFORMANCE mode with 720p resolution, and while the more powerful and expensive Jetson TX2 achieves doubles the performance at 60 fps, it does so at a much higher cost. ZED depth and motion tracking camera specifications: Video 2.2K @ 15 fps (4416×1242 resolution) 1080p @ 30 fps (3840×1080 resolution) 720p @ 60 fps (2560×720 resolution) WVGA @ 100 fps (1344×376 resolution) Depth Resolution – Same as selected video resolution Range – 0.5 to 20 m Format – 32-bits Stereo Baseline – 120 mm Motion 6-axis Pose […]

LoDev S76S
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LoDev S76S Board Combines STM32, LoRa and Arm Mbed Support (Crowdfunding)

There are already plenty of low power boards with a LoRa radio, but Ronoth offers another option with their tiny LoDev S76S LoRa development board featuring AcSip S76S SiP (system-in-package) with STMicro STM32L073 microcontroller, a Semtech SX1276 LoRa radio, and other components. While most hobbyist LoRa boards are designed to be programmed with the Arduino IDE, LoDev S76S is instead compatible with Arm Mbed. LoDev S76S board specifications: SiP – AcSip S76S system-in-package with STMicro STM32L073 Arm Cortex-M0+ microcontroller @ 48 MHz with 192 kB flash, 20 kB RAM Semtech SX1276 chip supporting global 863MHz ~ 928MHz ISM Bands RF front-end LoRa Connectivity Receiver Sensitivity – down to -146 dBm TX Power – adjustable up to +20 dBm Range – up to 15 km coverage in suburban areas and up to 5 km coverage in urban areas SMA antenna connector USB – 1x micro USB port for programming and power […]

UP Extreme SBC
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UP Xtreme Board to Feature Intel Whiskey Lake Processor

AAEON launched their UP board family back in 2015 with the original board featuring an Atom X5 Cherry Trail processor. Since then they’ve launched other models all based on processors with 10W or lower TDP (Thermal Design Power) such as UP Squared Apollo Lake development board. But the company has now upped the ante by going with Intel Core-U series Whiskey Lake processors (15W TDP) in their upcoming UP Xtreme single board computer (SBC) that will feature some of those Core i3/i5/i7 processors. UP Xtreme specifications: SoC- Intel Dual/Quad Core “Whiskey Lake” Core i3/i5/i7 processor @ 1.8 GHz (Boost frequnecy up to 3.9GHz for i3/i5, up to 4.6 GHz for i7) with Intel UHD graphics 620; 15W TDP System Memory – Up to 16GB dual-channel DDR4 memory (soldered on-board) Storage – 16GB to 128GB eMMC 5.1 flash, 1x SATA connector with power connector Video Output 1x eDP with backlight control […]

Nitrogen8M_Mini NXP i.MX 8M Mini Board
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Nitrogen8M_Mini Single Board Computer Launched for $135 and Up

Last month we write about Nitrogen8M_Mini, the First NXP i.MX8 8M Mini SBC, but at the time, it was not available for purchase just yet. Boundary Devices has now announced the official release of the board and is taking orders / pre-orders for $135 and up. Nitrogen8M_Mini SBC Two versions are being offered either with the board only, or as part of a devkit with a 5V power supply, an 8GB microSD card with Linux OS, a battery, and serial console cable: Nit8MQ_Mini_2r8eWB with WiFi and Bluetooth, currently in stock, and sold for $155 (board only), or $175 (devkit) Nit8MQ_Mini_2r8e without wireless module, to ship in a few weeks, and sold for $135 (board only), or $155 (devkit) Nitrogen8M_Mini specifications: SoC – NXP i.MX 8M Mini with 4x Cortex A53 cores @ 1.5 to 2.0 GHz max, 1x Cortex-M4F real-time core, Vivante GCNanoUltra 3D GPU, Vivante GC320 2D GPU System […]

Rockchip RK3568, RK3588 and Intel x86 SBCs and SoMs in 2025
Sparkfun Edge Tensorflow MCU Board
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$15 Sparkfun Edge Board Supports Tensorflow Lite for Microcontrollers

The 2019 TensorFlow Dev Summit is now taking place, and we’ve already covered the launch of Google’s Coral Edge TPU dev board and USB accelerator supporting TensorFlow Lite, but there has been another interesting new development during the event: TensorFlow Lite now also supports microcontrollers (MCU), instead of the more powerful application processors. You can easily get started with Tensorflow Lite for MCU with SparkFun Edge development board powered by Ambiq Micro Apollo3 Blue Bluetooth MCU whose ultra-efficient Arm Cortex-M4F core can run TensorFlow Lite using only 6uA/MHz. SparkFun Edge specifications: MCU – Ambiq Micro Apollo3 Blue 32-bit Arm Cortex-M4F processor at 48MHz / 96MHz (TurboSPOT) with DMA, 1MB flash, 384 KB SRAM, 6uA/MHz power usage, Bluetooth support. Connectivity – Bluetooth LE 5 (on-chip) + Bluetooth antenna Camera – OV7670 camera connector Audio – 2x MEMS microphones with operational amplifier Sensor – STMicro LIS2DH12 3-axis accelerometer Expansion – Qwiic connector, […]

Ivy5661 board
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Ivy5661 Bluetooth 5 + 802.11ac WiFi IoT Board Up for Pre-order for $35

There are many WiFi and/or Bluetooth board designed for the Internet of Things thanks to ESP8266 / ESP32, and other solutions, but usually they all work in the 2.4 GHz frequency band which can be an issue in crowded environments. Last October, we covered ucRobotics Ivy5661  96Boards compliant IoT board that offers a dual core Arm Cortex-M4F MCU with 802.11ac WiFi 5 and Bluetooth 5 connectivity. It was still under development at the time, but today, I’ve noticed it was listed on Seeed Studio for $35 with shipping scheduled for the end of February. ucRobotics Ivy5661 board specifications: SoC – UniSoC UWP5661 dual core Arm Cortex-M4 microcontroller @ 416 MHz manufactured with 28nm process Storage – 32Mbit NOR flash Connectivity (built in SoC) Dual band 802.11ac 2×2 MIMO WiFi 5 up to 866MHz; supports repeater mode, RTT indoor positioning Bluetooth 5 with support for high power mode, BT mesh, and […]

Boardcon CM3588 Rockchip RK3588 System-on-Module designed for AI and IoT applications