AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #audioDevices #raspberryPi #rp2040 #lorawan #iot #solar

AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #audioDevices #raspberryPi #rp2040 #lorawan #iot #solar

AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #audioDevices #raspberryPi #rp2040 #lorawan #iot #solar

AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #audioDevices #raspberryPi #rp2040 #lorawan #iot #solar

AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #audioDevices #raspberryPi #rp2040 #lorawan #iot #solar

AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #audioDevices #raspberryPi #rp2040 #lorawan #iot #solar

AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #audioDevices #raspberryPi #rp2040 #lorawan #iot #solar

AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #audioDevices #raspberryPi #rp2040 #lorawan #iot #solar

AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #audioDevices #raspberryPi #rp2040 #lorawan #iot #solar

AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #raspberryPi #rp2040 #lorawan #iot #solar

Bidirectional DC-DC converter management system PCB for energy storage applications. The design targets bidirectional charge and discharge control, dynamic power regulation, energy optimization, and overload protection for storage systems. It integrates a control section with MCU-class supervision, 16-bit ADC measurement, PWM-based power-stage control, and industrial CAN/RS485 communication, while planning practical PCB partitioning for high-current power paths, mixed-signal control, and protected interfaces. Target conversion efficiency is 98% or higher, with CMOS-oriented high-integration design intent adapted into a manufacturable mixed-signal PCB implementation.

Welcome to your new project. Imagine what you can build here.

This is a project for measuring the temperature using the SHT30 sensor and storing data on the SD card, using STM32F031K6Tx #stm32 #sht3x #sd

This is a project for measuring the temperature using the SHT30 sensor and storing data on the SD card, using STM32F031K6Tx #stm32 #sht3x #sd

Welcome to your new project. Imagine what you can build here.

AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #raspberryPi #rp2040 #lorawan #iot #solar

The LTC3109 from Linear Technology is a highly integrated DC/DC converter specifically designed for energy harvesting applications. It can operate from ultra-low input voltages as low as 30mV, utilizing a unique, proprietary auto-polarity architecture to function regardless of input polarity. The component is ideal for harvesting energy from thermoelectric generators (TEGs) and thermopiles, efficiently converting this energy to power remote sensors, wireless transmitters, and low-power devices. Key features include selectable output voltages of 2.35V, 3.3V, 4.1V, or 5V, a 2.2V low-dropout (LDO) regulator, a logic-controlled output, and an energy storage system to maintain operation during power interruptions. The LTC3109 is encapsulated in a small, 20-lead (4mm × 4mm) QFN or SSOP package, making it compact and suitable for space-constrained applications in HVAC systems, building automation, and industrial wireless sensing. Additionally, the power good indicator and the ability to use compact step-up transformers further enhance its suitability for low power, energy-harvesting systems.

This bee hotel version is an intermediary version that implements some featuresets. The main feature that we are leaving out is Matter support over Zigbee (for a wider range in the backyard). In this version, we are implmenting: -Legacy WiFi/BT connectivity. -Camera with flash capability -Solar Charging -Energy Storage -Humidity and Temp Sensor

Solar-powered autonomous development board that allows you to grow your project from a small seed to a big, beautiful flower. AAA(10440) LiFePO4 battery as energy storage. BQ25504 Ultra Low-Power Energy Harvester

ESP32-S3 Automotive IoT Reference Board with 12V Protected Front-End, AXP192 PMIC, CP2102N USB-UART, SIM800C GSM, SX1262 LoRa, and microSD SPI Storage (#SIM800C #SX1262 #CP2102N #AXP192 #Automotive)

AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #audioDevices #raspberryPi #rp2040 #lorawan #iot #solar

The is a playground project based on the AvocAudio board which is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #raspberryPi #rp2040 #lorawan #iot #solar

The Samsung K4B2G1646F is a 2Gb DDR3L SDRAM memory component designed for high-speed performance, offering data rates up to 1866Mb/sec/pin. Available in a 96-ball FBGA package and organized as 128Mb x 16 I/Os x 8 banks, it is optimized for use in various applications requiring efficient data storage and retrieval. The device supports both 1.35V (DDR3L) and 1.5V (standard DDR3) power supplies, ensuring compatibility with a wide range of system requirements. Key features include an 8-bit pre-fetch architecture, programmable CAS latency, on-die termination (ODT), and internal self-calibration through the ZQ pin. The component also adheres to JEDEC standards and is compliant with RoHS, ensuring it is free of lead and halogen. Suitable for commercial and industrial temperature ranges, the K4B2G1646F offers robust performance for various demanding applications.

A self-contained “retro PC” platform built around the ESP32, exposing classic PC-style IO: VGA video, PS/2 keyboard/mouse, audio-out to an onboard speaker, microSD storage, plus USB-C for power and USB-UART for programming/debug.

The RP2350, developed by Raspberry Pi Ltd, is a high-performance microcontroller designed to cater to a broad range of applications requiring efficient power management, advanced security features, and versatile IO options. This microcontroller stands out with its dual-core architecture, featuring either Cortex-M33 or Hazard3 processors operating at up to 150 MHz, ensuring robust performance for complex applications. It boasts a substantial 520 KB of on-chip SRAM distributed across 10 independent banks, enhancing parallel data processing capabilities. Additionally, the RP2350 supports up to 16 MB of external QSPI flash/PSRAM for extensive program and data storage, further expandable via an optional second chip-select. A notable feature of the RP2350 is its integrated on-chip switched-mode power supply, designed to generate core voltage efficiently, complemented by a low-quiescent-current LDO mode for reduced power consumption in sleep states. Security is a paramount feature of the RP2350, offering options for boot signing with key fingerprint in OTP, hardware mitigations against fault injection attacks, and a hardware SHA-256 accelerator for cryptographic operations. The microcontroller is also equipped with a comprehensive set of peripherals, including USB 1.1 controller and PHY, multiple UARTs, SPI, and I2C controllers, 24 PWM channels, and 12 programmable IO (PIO) state machines, providing extensive interface capabilities. The RP2350 is available in QFN-60 and QFN-80 packages, with or without flash-in-package options, catering to various design requirements and application needs.