Experiment with neurostimulation using NeuroStimDuino Arduino shield (Crowdfunding)

NeuroStimDuino with gel electrodes

Neuralaxy’s NeuroStimDuino is an open-source Arduino shield that allows students, researchers, and hobbyists to study the effects of neurostimulation on muscle contraction easily and cheaply. What is Neurostimulation exactly? It works by applying short electrical pulses to the surface of the skin for the purpose of stimulating the underlying nerves and muscles. Neurostimulation has several uses including a treatment called Functional Electrical Stimulation (FES) therapy to help restore mobility in the paralyzed limb muscles of stroke victims and those who have suffered spinal cord injuries, and studies are being carried out to better understand how it can be leveraged for pain reduction and sensory feedback. NeuroStimDuino hardware specifications: MCU – Microchip dsPIC33F 16-bit microcontroller (40 MIPS) with 256 KB flash memory Two independent 2mm output jack per board with: Adjustable current output range – +/- 25 mA, resolution 250 µA/step Adjustable stimulation frequency range – 1 – 100 Hz, pulse-width […]

Long range ESP32 Wi-Fi development board promises up to 1.2km range (Crowdfunding)

ESP32-M1 Reach Out

WiFi is not really designed for kilometer range transmission, but CNLohr previously demonstrated 1km range with ESP8266, and some directional antennas are sold to expand the WiFi range. Bison Science’s ESP32-M1 Reach Out WiFi development board has been specifically designed for long-range connectivity with up to 30 dBm (1W) transmit power and support for various types of antennas for a 1.2-kilometer range, even tested up to 1.5km in a clear day. ESP32-M1 Reach Out features and specifications: WiSoC – Espressif Systems ESP32-D0WDQ6 dual-core processor @ 240 MHz Storage – 32 Mbit flash Connectivity 2.4 GHz Wi-Fi 4 802.11 b/g/n Bluetooth 4.2/5.x Classic and Bluetooth Low Energy (BLE) QPF4219 PA (Power Amplifier) and LNA (Low Noise Amplifier) Wi-Fi RF front end (RFFE) from Qorvo with 33 dB PA gain and 15 dB LNA gain Wi-Fi transmit output power adjustable from 21 to 30 dBm (1 W) conducted Wi-Fi front end bypass […]

Sparkfun Thing Plus – Quicklogic EOS S3 Arm eFPGA board launched in Crowd Supply

Sparkfun Thing Plus Quicklogic EOS S3

SparkFun Electronics is a well-known electronics retailer that usually sells its in-house developed or third-party boards through its own online store. But this time around, the company decided to launch “Sparkfun Thing Plus – Quicklogic EOS S3” through Crowd Supply crowdfunding platform. The board is based on QuickFeather board designed with the same Quicklogic EOS S3 Arm Cortex-M4 plus embedded FPGA SoC, but follows Sparkfun’s Thing Plus form factor with a Qwiic connector and a different mix of sensors. Sparkfun Thing Plus – Quicklogic EOS S3 (QTPLUS-1.0) board specifications: SoC – QuickLogic EOS S3 MCU + eFPGA SoC with Arm Cortex-M4F Microcontroller up to 80 MHz, up to 512 Kb SRAM, and an embedded FPGA (eFPGA) with 2400 effective logic cells, 64 Kb RAM Storage – 16 Mbit SPI NOR flash (GigaDevice GD25Q16CEIGR) Sensors STMicro LIS2DH12TR accelerometer Digital pulse density modulation (PDM) microphone with Wake-on-Sound (WoS) feature: Vesper VM3011-U1 Expansion […]

StereoPi v2 stereoscopic camera is powered by Raspberry Pi CM4 (Crowdfunding)

StereoPi v2 Raspberry Pi CM4 camera

StereoPi stereoscopic camera based on Raspberry Pi Compute Module 3 was introduced in late 2019 on Crowd Supply.  The camera can record 3D video, create 3D depth maps with OpenCV, and benefits from the Raspberry Pi software ecosystem. The developers are now back with an upgraded model. StereoPi v2 comes with many of the same features, but as it is based on Raspberry Pi CM4 (Compute Module 4) it offers better performance, Gigabit Ethernet, Wifi & Bluetooth connectivity out of the box, while other features like PoE, TFT screen, shot button, etc.. are optional. StereoPi v2 specifications: Supported SoM – Raspberry Pi CM4 or CM4Lite modules Storage – MicroSD card socket Video Output – Micro HDMI port Camera I/F – 2x MIPI CSI camera connector plus “hackable camera lines” Networking – Gigabit Ethernet RJ45 port, plus optional WiFi 5 and Bluetooth 5.0 on Raspberry Pi CM4 module USB – 2x […]

Qomu Cortex-M4F & FPGA USB board is programmable with Symbiflow open-source toolchain (Crowdfunding)

qomu board

We’ve seen several tiny “omu” USB boards that are the size of a USB connector in the past, starting with Tomu based on Silabs EFM32 Arm-Cortex-M0+ MCU, then Fomu enabling Python programming and RISC-V softcore on a Lattice ICE40 FPGA, and finally Somu FIDO2 security key. There’s now the new Qomu board based on Quicklogic EOS S3 Cortex-M4F MCU with embedded FPGA. Just like its predecessor, the board almost completely fits in a USB connector except for the touch pads, and also happens to be programmable with Symbiflow that dubs itself as the “GCC of FPGAs”, as well as other open-source tools. Qomu specifications: SoC – QuickLogic EOS S3 Arm Cortex-M4F MCU @ up to 80 MHz with 512 KB memory, embedded FPGA with 2,400 effective logic cells and 64 Kbits of embedded RAM Storage – 16 Mbit flash Misc – Four capacitive touch pads, 1x RGB LED Power – […]

microByte ESP32 portable game console comes with a 1.3-inch display (Crowdfunding)

microByte ESP32-portable-game console 1.3-inch display

We’ve previously seen programmable, portable game consoles powered by Espressif Systems ESP32 processor with the likes of ODROID-GO or WiFiBoy32 both equipped with a 2.4-inch display, and design to play retro games or create IoT projects with a small display thanks to I/O headers. But if for some reason, you’d like an even more compact ESP32 portable game console based on the WiFi & Bluetooth SoC, Byte-Mix Labs microByte may be what you are looking for thanks to a tiny 1.3-inch square display. microByte specifications: Wireless module – ESP32-WROVER-E module with ESP32 dual-core processor @ 240 MHz, 8 MB PSRAM, 16 MB flash, and integrated Wi-Fi and Bluetooth antenna Storage – MIcroSD card slot Display – 1.3-inch ST7789 IPS Screen with 240 x 240 pixel resolution, 60 Hz max refresh frequency Audio – On-board speaker powered by a MAX98357AETE+T I2S amplifier Controls – 13x onboard buttons with 8x Inductive direction […]

K210 AI Accelerator Raspberry Pi pHAT targets secure AIoT projects (Crowdfunding)

Kendryte K210 is a dual-core RISC-V AI processor that was launched in 2018 and found in several smart audio and computer vision solutions. We previously wrote a Getting Started Guide for Grove AI HAT for Raspberry Pi using Arduino and MicroPython, and XaLogic XAPIZ3500 offered an even more compact K210 solution as a Raspberry pi pHAT with Raspberry Pi Zero form factor. The company is now back with another revision of the board called “XaLogic K210 AI accelerator” designed to work with Raspberry Pi Zero and larger boards with the 40-pin connector. K210 AI Accelerator board specifications: SoC – Kendryte K210 dual-core 64-bit RISC-V processor @ 400 MHz with 8MB on-chip RAM, various low-power AI accelerators delivering up to 0.5 TOPS, Host Interface – 40-pin Raspberry Pi header using: SPI @ 40 MHz via Lattice iCE40 FPGA I2C, UART, JTAG, GPIOs signals Security Infineon Trust-M cloud security chip 128-bit AES […]

Little Bee is an affordable, open hardware current & magnetic field probe (Crowdfunding)

Little Bee Current Probe

Little Bee is an affordable, open-source hardware, and high-performance current probe and magnetic field probe designed to debug and analyze electronic devices at a much lower cost than existing solutions such as Migsic CP2100B or I-prober 520. This type of tool is especially important for power electronics, which has become ever more important with electric vehicles, alternative energy solutions, and high-efficiency power supplies. Little Bee B1 hardware specifications and key features: Based on Anisotropic Magneto-Resistive (AMR) magnetic sensor. Adjustable bandwidth (10 MHz and 1 MHz) Adjustable gain (1x and 4x) Automatic zeroing SMA Output Connector for connection to any standard 1 MΩ impedance oscilloscope input Current sensing Bandwidth – DC – 10 MHz Sensitivity – 0.25 Volts/Amp Max Current – +/- 5 A Noise – 3 mA RMS at 10 MHz bandwidth, 2 mA RMS at 1 MHz bandwidth DC Accuracy – +/- 15% Insertion Impedance – 100 nH in […]