PICO DSP is an Arduino compatible ESP32 development board for audio and DSP applications (Crowdfunding)

PICO DSP ESP32 audio development board

ESP32 audio development boards have been around ever since ESP32 boards were introduced starting with Espressif Systems’ own “ESP32-LyraTD-MSC Audio Mic HDK“, and now ESP32 hardware and software have been certified for Amazon Alexa Voice Services. PICO DSP is another ESP32 development board for audio and digital signage processing (DSP) applications. Equipped with a Wolfson WM9878 stereo audio codec, the breadboard-friendly, Arduino compatible board includes two MEMS microphones, audio in and out jacks, a speaker header, plus other audio signals routed to a GPIO header. PICO DSP specifications: SiP – Espressif ESP32-PICO-D4 system-in-package with ESP32 dual-core WiFi 4 & BLE processor, 4MB SPI flash External storage/memory Original Edition – External 64 MB pseudo-static (PSRAM) chip, of which up to 8 MB is currently supported by ESP-IDF. Strawberry Edition – 16 MB of external NOR flash (note: the internal 4MB SPI flash will not be usable after selecting the NOR flash […]

Arduino powered 5-key keypad includes a rotary encoder

JC Pro Macro - Arduino Keyboard with Rotary Encoder

There was a time when people were happy to interact with their computer with a standard keyboard and mouse.  But in recent years, we’ve noticed more programmable, custom-designed keyboards with more ergonomy, a built-in touchscreen display, integrated into a multi-function USB dock/hub, as well as tiny keypads with a couple of mechanical keys to speed up specific functions. JC Pro Macro is another one of those compact USB keypads. Powered by an Arduino Pro Micro board, the keypad features five mechanical keyboard keys, and adds a rotary encoder, plus an optional I2C OLED display for debugging, and some I/Os to control external hardware like a fan. JC Pro Macro keyboard’s features and specifications: MCU board – Arduino Pro Micro compatible board with Microchip ATmega32U4 AVR microcontroller User input 5x programmable keyswitches Rotary encoder to control volume or other “rotary-y” elements, plus a 6th input switch, i.e. you can press it […]

Microsoft Azure IoT, Balena, Particle, or Toit – Choosing the Right IoT Development Platform

IoT Development Platforms

With the ongoing fourth Industrial Revolution (Industry 4.0), IoT technologies are playing a major role in automating industrial processes. Integrating existing systems with IoT results in an intelligent solution that focuses more on providing better adaptability and resource efficiency. If you start building such systems from scratch while ensuring reliability and other factors, it will surely take a lot of research and time. This is where an IoT development platform steps in to save your time and makes things a lot easier. The main idea behind these platforms is to avoid reinventing the wheel and to provide standardized functions and features, so you don’t waste your time implementing something that someone has already done for you. You can collect data, control and manage apps and connect to their cloud services for better machine-to-machine communication. This article will look at some modern IoT development platforms and finally compare them to help […]

$5 board eases ATX power supply connection to single board computers

ZJ-012 ATX Power Supply single board computer

Many people have ATX power supplies from older desktop PCs that they may want to reuse with Arduino boards, Raspberry Pi, or other single board computers. It’s indeed possible to do so by trimming some cables and making a circuit to protect the board from over-voltage or over-current. But ZJ-012 adapter board offers a simpler solution with a 24-pin header for the ATX power supply, terminal blocks for connection to the target board, some fuses for protection, and a header to connect an on/off button. JZ-012 (also known as JZ-024) ATX power adapter board’s key features and specifications: Power Input – 20-pin or 24-pin computer ATX power supply Power output – 9-pin terminal block with +3.3V, +5V, -12V, +12V, +5V, GND with fuses for each power outputs On/Off control – Toggle switch or header for external button/switch (shorted for power on) Misc – Power indicator (red LED) Dimensions – 70 […]

Tiny Seeeduino XIAO board gets Raspberry Pi RP2040 MCU

Seeduino XIAO RP2040

Seeeduino XIAO is a tiny Arduino Zero compatible board with battery support that was launched last year with Microchip SAMD21G18 ARM Cortex-M0+ microcontroller at up to 48MHz. Seeed Studio has now launched the XIAO RP2040 board with the same form factor but upgrading to a more powerful Raspberry Pi RP2040 dual-core Cortex-M0+ microcontroller clocked at up to 133 MHz. XIAO RP2040 specifications: MCU – Raspberry Pi RP2040 dual-core Cortex M0+ up to 133 MHz, or even 252 MHz (48MHz default) with 264 kB SRAM Storage – 2MB SPI flash USB – 1x USB type C port for power and programming Expansion I/Os 2x 7-pin headers with 11x 4x analog inputs, 11x digital I/Os / PWM, 1x DAC, SPI, UART, and I2C; 2.54mm pitch 3.3V I/O voltage (not 5V tolerant) Misc – 1x user LED, power LED, 2x LEDs for serial port downloading, Reset Button/ Boot Button, RGB LED, SWD pads […]

CanLite ESP32 board for CAN Bus hacking support up to two high-side switches

CANLite ESP32 CAN Bus board

Voltlog’s CanLite is not the first ESP32 CAN bus board we’ve covered here at CNX Software, having written about Olimex ESP32-EVB and CAN32 boards a few years ago. But the open-source hardware, compact CanLite board offers an alternative for CAN bus hacking with a built-in automotive-grade DC-DC converter as well as an optional two-channel high-side automotive-grade switches capable of switching up to 6A per channel. CANLite key features and specifications: Wireless module – ESP32-WROOM-32D module with Espressif ESP32-D0WD dual-core Tensilica processor, 4MB SPI flash, Wi-Fi 802.11 b/g/n up to 150 Mbps, Bluetooth 4.2 LE Terminal block for CAN Bus (ISO 11898-2 standard) up to 1Mbps via SN65HVD231 CAN transceiver. Output – High-side switching of the VBAT input up to 6A. (only if the option is purchased during checkout). Programming – 6-pin JST-SH VoltLink pin header Power Supply – 12V/0.5A via terminal block Dimensions – TBD The ESP32 CANLite board supports […]

ESP32-C3 board comes with 16340 battery holder, D1 mini compatibility

LilyGO TTGO T-OI Plus

It looks like ESP32-C3 floodgates have opened. We’ve just written about several NodeMCU ESP32-C3 boards, and now there’s another board with the RISC-V WiFI & Bluetooth processor. Meet LilyGo TTGO T-OI PLUS equipped with a 16340 battery holder. Getting a battery-powered ESP32-C3 board could prove to be very interesting as ESP32-C3 power consumption is much lower than ESP8266 and ESP32, notably in deep sleep mode, where the RISC-V processor consumes just 5uA, against 20 uA for ESP8266 and ESP32, and the difference is even greater in light sleep mode (ESP8266: 2000 uA vs ESP32-C3: 130 uA). LilyGo TTGO T-OI PLUS specifications: SoC – Espressif Systems ESP32-C3 single-core RISC-V processor @ 160 MHz with 2.4 GHz WiFi, Bluetooth 5.0 LE Storage – TBD flash (probably 2MB or 4MB) Antenna – Ceramic antenna and IPEX connector USB – USB-C port for power and programming Expansion 2x 8-pin headers with 12x GPIO, 1x […]

AIfES for Arduino high-efficiency AI framework for microcontrollers becomes open source

AlFes for Arduino

AIfES (AI for Embedded Systems) is a standalone, high-efficiency, AI framework, which allows the Fraunhofer Institute for Microelectronic Circuits and Systems, or Fraunhofer IMS for short, to train and run machine learning algorithms on resource-constrained microcontrollers. So far the framework was closed-source and only used internally by Fraunhofer IMS, but following a collaboration with Arduino, AIfES for Arduino is now open-source and free to use for non-commercial projects. The framework has been optimized to allow 8-bit microcontrollers such as the one found in Arduino Uno to implement an Artificial Neural Network (ANN) that can be trained in moderate time. That means offline inference and training on small self-learning battery-powered devices is possible with AIfES without relying on the cloud or other devices. The library implements Feedforward Neural Networks (FNN) that can be freely parameterized, trained, modified, or reloaded at runtime. Programmed in C language, AIfES uses only standard libraries based […]

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