esp32MX-E ESP32 Board Comes with Ethernet and USB-C Ports (Crowdfunding)

ESP32 Ethernet & USB-C Board

We’ve already covered several ESP32 boards with Ethernet including Olimex ESP32-GATEWAY and Silicognition wESP32, and I’ve just noticed Espressif also made its own with ESP32-Ethernet-Kit. Modtronix Engineering has another take with esp32MX-E board that beside Ethernet also exposes a USB-C port, a MicroSD card slot, and also adds an STM32F0 microcontroller acting as an I2C I/O expander. esp32MX-E specifications: Wireless Module ESP32 dual-core LX6 microprocessor at 160 or 240 MHz, 4 MB Flash, 520 KB SRAM Wi-Fi 4 802.11 b/g/n Bluetooth 4.2 BR/EDR & BLE Storage – MicroSD card slot USB – USB Type-C connector for programming, power, and Virtual COM port Expansion via 14-pin and 20-pin female headers 22x I/O pins of which 4 are inputs only. 4x 5 V tolerant I/O pins Not all I/Os are available when the SD Card is used Programmable pull-up and pull-down resistors on most inputs Secondary MCU – I²C I/O expander implemented with a user-programmable STM32F030F4 Misc – User LED, button Power …

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DepthAI Brings AI plus Depth to the Raspberry Pi (Crowdfunding)

DepthAI Embedded Platform

Edge computing on the Raspberry PI has been a bit of ups and downs, especially with everyone gearing for AI in everything. The Raspberry Pi, on its own, isn’t really capable of any reliable AI applications. Typical object detection on the Raspberry Pi would get you something around 1 – 2 fps depending on the nature of your model and this because all those processing is done on the CPU. To address this poor performance of AI applications on the Raspberry Pi, AI Accelerators came to the rescue. The Intel Neural Compute Stick 2 is one such accelerator capable of somewhere around 8 – 15 fps depending on your application. The NCS2, which is based on the Myriad X VPU technology, offers so much more than the compute stick delivers, and this is something that the team behind DepthAI has exploited to create a powerful AI module for edge computing called DepthAI. It is one thing to do object detection. …

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Pixblasters MS1 Video LED Controller Outputs HDMI Input to 16K+ LED Video Walls (Crowdfunding)

Pixblaster Video LED Controller Pixblasters, a company focused on LED signage and video display, have started a Crowd Supply campaign for their MS1 Video Controller. The Pixblaster MS1 controller can be attached to any laptop or computer with HDMI output (think Raspberry Pi SBC) and control 16,384 LEDs without any programming, physical modifications or soldering. Extreme Scalability The market the MS1 video controller is aimed at is small business and makers, who hadn’t before had a controller with this much scalability.  The company is saying that the MS1 can be daisy-chained together to control hundreds of thousands of LEDs and act as a full video monitor across hundreds of meters of LED strips. Programming The unit can easily and with little technical knowledge connect WS212B-Based addressable LED strips together for a complex output of digital displays, even mirroring a video display in some instances. Target Users The ability to use large platform digital signage has been difficult for many small …

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ctxLink Open Hardware WiFi Debug Probe is based Black Magic Probe (Crowdfunding)

ctxlink

Last month, we wrote about Blip nRF52840 dev board that also included an STM32F103 MCU running the open source Black Magic Probe (BMP) firmware for debugging and programming. Based on the original Black Magic Probe hardware product page, BMP is a JTAG and SWD adapter used for programming and debugging ARM Cortex MCUs, and does not require intermediate programs such as OpenOCD or STLink server. Instead, you can run GNU Debugger (GDB) and select the virtual COM port offered by the debug board. The reason I’m bringing BMP again today, is because a new open source hardware wireless debugging probe for Cortex-M based on Black Magic Probe has been launched in the last few days. ctxLink key features and specifications: Microcontroller – STMicro STM32F401RE Arm Cortex -M4F MCU at up to 84 MHz Connectivity – 802.11b/g/n WiFi via Microchip WINC1500 module USB – 1x micro USB port for connection to host computer and/or power Debugging Features Implements SWD and JTAG …

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Blip Nordic nRF52840 Dev Board Includes STM32 Black Magic Probe Programmer & Debugger (Crowdfunding)

The Latest Electronut Labs Nordic nRF52840 Based Dev Board Electronut Labs has started its Crowd Supply campaign for Blip, a Nordic nRF52840 based development board. With many onboard sensors and systems, the boards are aimed at prototyping and projects in a wide variety of BLE and 802.15.4, wireless application scenarios.  It has a programmer and debugger built-in. Past Articles  Electronut Labs has a series of Nordic Semiconductor SoC projects previously reported on including  Papyr, a Bluetooth E-Paper Display and Bluey, a BLE Development board using the Nordic nRF52832, and CNXSoft also published an article comparing several of the Nordic SoC available in development boards for Bluetooth 5 (BLE5). The Features the Stand Out Blip has a Black magic Probe compatible programmer and debugger built-in, along with a temperature/humidity sensor, ambient light intensity sensor,  and a three-axis accelerometer.  The board is designed to prototype very low power devices and an ability to add a microSD card slot, to make it a …

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USB Armory Mk II USB Linux Computer Targets Security Applications (Crowdfunding)

USB Armory Mk II

Back in 2014, Inverse Path launched USB Armory computer dongle running headless Linux from a MicroSD card and designed for security applications. The company got bought by  F-Secure Foundry in 2017, and the latter has now launched another crowdfunding campaign for an upgraded version USB Armory Mk II keeps a similar USB dongle form factor but replaces the NXP i.MX53 Cortex-A8 processor with a more efficiency NXP i.MX 6ULZ Arm Cortex-A7 processor, the USB type-A port with a modern USB-C port, adds 16GB eMMC flash, Bluetooth 5 LE connectivity, and new security features. USB Armory Mk II specifications: SoC – NXP i.MX6ULZ Arm Cortex-A7 @ 900 MHz System Memory – 512 MB DDR3 RAM Storage – 16 GB eMMC flash + external microSD Connectivity – Bluetooth 5 LE + mesh module (U-blox ANNA-B112) with Arm Cortex-M4 MCU (nRF52832) USB – 2x USB type-C ports: 1x DRP (Dual Role Power) receptacle + 1x UFP (Upstream Facing Port) plug HW Security Chip …

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HEGduino IoT Real-time Neurofeedback Platform Aims to Increase Brain Function (Crowdfunding)

The HEGduino Alaskit has developed a way to measure the blood-oxygen levels in the brain and create a biofeedback system that is said to increase brain function. The new tech is called HEGduino and is a connection between a biofeedback method and an IoT platform.  Past Reported Medical SBCs In the past, CNX has covered several health-based platforms for the Raspberry Pi (Healthy Pi HAT) and ESP32 (Hearty Patch, ECG reader) medical SBCs. HEG Particulars The HEG in HEGduino stands for Hemoencephalography, a neurofeedback technique similar to EEG measurements in brainwave activity. The difference is HEG can measure neural activity based on neurovascular coupling, which can be approached through near infrared and passive infrared techniques – both of which are ways to cerebral blood flow can be matched to metabolic activity. HEG Functions The HEG is a way to alter brain function through a series of “training” sessions based on the changes in blood flow to different areas of …

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$30 FireAnt Development Board Features Efinix Trion T8 FPGA (Crowdfunding)

FireAnt Trion T8 FPGA Board

When I think FPGA, company names such as Xilinx, Altera (now Intel), or even Microsemi come to my mind. But there are also other companies such as Anlogic or Lattice Semi that offer FPGA chips. Today I’ve come across another FPGA silicon vendor, namely Efinix, with their Trion T8 FPGA found in XIPS Technology’s tiny FireAnt development board targeting makers and hardware designers. FireAnt specifications: FPGA – Efinix Trion T8 (T8F81C2) with 7384x LE counts, 8x embedded multipliers, 1x low-power oscillator, 1x PLL, 122.88 kbit internal RAM; Package – BGA-81 (5×5 mm) Storage – 8 Mbit serial NOR Flash Expansion – 2x 20-pin headers (soldered or unpopulated) with up to 35 GPIOs Debugging & Programming Micro USB 2.0 port via FTDI FT232HQ USB to serial chip JTAG signals in bottom layer Misc – Onboard 33.333 MHz crystal oscillator for PLL; 6x LEDs including 4 user configurable; 3x buttons (Reset, BTN1, BTN2) Power Supply – 5V via micro USB port; 3.3 …

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