Lipo Charger Shield. Directly plugs into Arduino Uno R3. Charge rate set with solder jumpers. Use with any MCU through tapping the VIN pin for power. VIN pin takes either

WeMos D1 Mini: LiPo Battery, OLED Display, and Debounced Button System (Final Schematic & Ready for Production)

Compact ESP32-S3 Camera Controller with Joystick, LiPo & USB-C (XIAO Footprint)

This PCB is for a quad copter drone. The drone will use a 4S lipo battery as a power supply and each of the motors will use 30Amp ESC's. The microcontroller that handles the RF signals is a Raspberry Pi Pico.

The SparkFun LiPo Charger Basic is stripped down of all features and just does one thing well - charge 3.7V LiPo cells at a rate of 500mA. It is designed to charge single-cell Li-Ion or Li-Polymer batteries.

3.7 V Lithium-Ion Polymer Battery Rechargeable (Secondary) 5500mAh

Product Type: Wearable AI pendant Primary Function: Records audio, generates transcripts, and organizes information about daily interactions User Interaction: Input: Activation button Output: RGB LED ring, Bluetooth link to phone Key Features: Audio Recording: Activated by button press Transcription: Converts audio to text Sentiment Analysis: Embedded AI evaluates sentiment Information Management: Filters essential information and action items Technical Specifications Form Factor: Wearable pendant Display: RGB LED ring around the edge Sensors: 2 Microphones 1 Button Connectivity: Bluetooth for phone linkage Wi-Fi USB-C for charging Wireless Protocol: Wi-Fi, Bluetooth Battery Type: LiPo 2000 mAh Battery Life: 6 hours of continuous use Charging Method: USB-C Operating Voltage: 3.3V Operating Conditions: Temperature Range: -10°C to 70°C Humidity: 10 to 90% Software: Python for AI and processing Compliance: RoHS, FCC, CE Reliability: 20,000 hrs Life Cycle Expectancy: 10 years AI Capabilities Speech to Text Recognition: Converts audio input to written text Embedded AI Sentiment Analysis: Evaluates the mood or sentiment expressed in the text Essential Information Filtering: Identifies and segregates crucial data and actionable items Power Consumption and Efficiency Power consumption must align with battery capacity to ensure 6 hours of continuous operational use.

A Raspberry Pi Pico based combat robot platform using a LiPo battery, motor driver, DC motors, and ESCs.

The Argon is a powerful Wi-Fi enabled development board for Wi-Fi networks. It is based on the Nordic nRF52840 and has built-in battery charging circuitry so it’s easy to connect a Li-Po and deploy your local network in minutes. #Particle #Argon #Template #Iot #Project-template

FLORA has a small but easy to use onboard reset button to reboot the system. The power supply is designed to be flexible and easy to use. There is an onboard polarized 2 JST battery connector with protection schottky diode for use with external battery packs from 3.5v to 16v DC in. Can be used with LiIon/LiPoly, LiFe, alkaline or rechargeable NiMh/NiCad batteries of any size. The FLORA does not have a LiPo charger included by design, this allows safe use with multiple battery types and reduces risk of fire as it is not recommended to charge these batteries on fabric.

Waterproof ESP32-C6 BLE MTB GPS Computer with NEO-M9N, LiPo Power Management, USB-C, and External SMA Antenna

This is a custom flight controller based around a STM32F103C8T6. It contains a BMP280 to measure the altitude of a drone, an ICM-42688-P that contains an accelerometer and gyroscope for motion control. The input voltage should be 12V and is set up to work with a LiPo battery.

3.7V Lipo Charger. Interfaces with MT3608 Boost Converter to convert 3.7V to 5V. Slot on top of your Arduino and charge your battery while the Arduino is plugged in. Or run your Arduino portably using the battery.

3.7V Lipo Charger. Interfaces with MT3608 Boost Converter to convert 3.7V to 5V. Slot on top of your Arduino and charge your battery while the Arduino is plugged in. Or run your Arduino portably using the battery.

Template for Arduino Uno R3 Shield. Include an official pinout so you will always know Arduino names, the alternative roles of pins, which one is SDA, or SCL, etc. On PCB you can find the 3D model of the Arduino Uno R3 itself along with the board outline on the silkscreen. #Arduino #Uno #Shield #Template #project-template #project

Template for Arduino Uno R3 Shield. Include an official pinout so you will always know Arduino names, the alternative roles of pins, which one is SDA, or SCL, etc. On PCB you can find the 3D model of the Arduino Uno R3 itself along with the board outline on the silkscreen. #Arduino #Uno #Shield #Template #project-template #project

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

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

Software: Linux Power Requirements: LiPo battery powered Compliance: RoHS Connectivity: USB, WiFi, Bluetooth, Ethernet Human Interface: Joystick, Display Operating Voltage: 3.3V, 5V, 9V Operating Temp: -40 to +85C Reliability: 10,000hrs MTBF Target Cost: $100

Compact ESP32-S3 Smart Glasses Starter PCB with OV2640 Camera, I2C Mux, I2S Audio, LiPo Charging, and USB-C Debug Interface

This is the circuitry for the smart inhaler project. This utilises an HC-05 as well as a DHT22 alongside the STM32 and a LiPo battery.

Product Type: Wearable AI pendant Primary Function: Records audio, generates transcripts, and organizes information about daily interactions User Interaction: Input: Activation button Output: RGB LED ring, Bluetooth link to phone Key Features: Audio Recording: Activated by button press Transcription: Converts audio to text Sentiment Analysis: Embedded AI evaluates sentiment Information Management: Filters essential information and action items Technical Specifications Form Factor: Wearable pendant Display: RGB LED ring around the edge Sensors: 2 Microphones 1 Button Connectivity: Bluetooth for phone linkage Wi-Fi USB-C for charging Wireless Protocol: Wi-Fi, Bluetooth Battery Type: LiPo 2000 mAh Battery Life: 6 hours of continuous use Charging Method: USB-C Operating Voltage: 3.3V Operating Conditions: Temperature Range: -10°C to 70°C Humidity: 10 to 90% Software: Python for AI and processing Compliance: RoHS, FCC, CE Reliability: 20,000 hrs Life Cycle Expectancy: 10 years AI Capabilities Speech to Text Recognition: Converts audio input to written text Embedded AI Sentiment Analysis: Evaluates the mood or sentiment expressed in the text Essential Information Filtering: Identifies and segregates crucial data and actionable items Power Consumption and Efficiency Power consumption must align with battery capacity to ensure 6 hours of continuous operational use.

My version/layout of MT3608 DC-DC Step Up Converter Booster for my Lipo Charger Arduino Shield

This PCB is for a quad copter drone. The drone will use a 4S lipo battery as a power supply and each of the motors will use 30Amp ESC's. The microcontroller that handles the RF signals is a Raspberry Pi Pico.

3.7V Lipo Charger. Interfaces with MT3608 Boost Converter to convert 3.7V to 5V. Slot on top of your Arduino and charge your battery while the Arduino is plugged in. Or run your Arduino portably using the battery.

Product Type: Wearable AI pendant Primary Function: Records audio, generates transcripts, and organizes information about daily interactions User Interaction: Input: Activation button Output: RGB LED ring, Bluetooth link to phone Key Features: Audio Recording: Activated by button press Transcription: Converts audio to text Sentiment Analysis: Embedded AI evaluates sentiment Information Management: Filters essential information and action items Technical Specifications Form Factor: Wearable pendant Display: RGB LED ring around the edge Sensors: 2 Microphones 1 Button Connectivity: Bluetooth for phone linkage Wi-Fi USB-C for charging Wireless Protocol: Wi-Fi, Bluetooth Battery Type: LiPo 2000 mAh Battery Life: 6 hours of continuous use Charging Method: USB-C Operating Voltage: 3.3V Operating Conditions: Temperature Range: -10°C to 70°C Humidity: 10 to 90% Software: Python for AI and processing Compliance: RoHS, FCC, CE Reliability: 20,000 hrs Life Cycle Expectancy: 10 years AI Capabilities Speech to Text Recognition: Converts audio input to written text Embedded AI Sentiment Analysis: Evaluates the mood or sentiment expressed in the text Essential Information Filtering: Identifies and segregates crucial data and actionable items Power Consumption and Efficiency Power consumption must align with battery capacity to ensure 6 hours of continuous operational use.

The Argon is a powerful Wi-Fi enabled development board for Wi-Fi networks. It is based on the Nordic nRF52840 and has built-in battery charging circuitry so it’s easy to connect a Li-Po and deploy your local network in minutes. #Particle #Argon #Template #Iot #Project-template

A hand-solderable SMD/TH module w/ RP2040 MCU+8MB FLASH, LDO, LiPo charger. #template #part #RP2040 #RPI

The Argon is a powerful Wi-Fi enabled development board for Wi-Fi networks. It is based on the Nordic nRF52840 and has built-in battery charging circuitry so it’s easy to connect a Li-Po and deploy your local network in minutes. #Particle #Argon #Template #Iot #Project-template

Wearable health device prototype schematic with ECG sensing via AD8232, motion sensing via BNO085 or BMI270 IMU breakout, on-board processing using TI TM4C123G LaunchPad or MSPM0G3507 LaunchPad, optional ESP8266 Wi-Fi, LiPo battery charging with MCP73831, regulated 3.3 V power from TPS63031 buck-boost or AP2112 LDO prototype option, and user interfaces including electrode connector, JST battery connector, programming header, and optional on/off switch.

Production-defensible Rev B ear tag tracker using nRF9151 with separate LTE and GNSS antennas, solar-assisted LiPo charging, battery protection, SPI NOR flash, NFC, eSIM, I2C sensors, Tag-Connect SWD, grouped EVT test points, and RF/power zoning on a 40 mm x 24 mm 4-layer PCB.

ESP32-S3 Wearable Audio Streaming Pendant (USB-C + LiPo + I2S Mic + microSD + OLED)

4×4 cm USB-C PD & Qi Wireless Power Bank with Li-Po Charging, Power-Path Management, 3.3 V LDO, Full-Bridge Gate Driver, LED Resistors, and Corrected 5 V Output Feedback (Schematic Cleaned: Redundant Net Portals/Passives Removed, Fuel-Gauge LED Channels Verified, ERC/DRC Issues Resolved)

Compact 4-Layer ESP32-S3-DevKitC-1 Nano-Style Carrier Board with I²S Audio, Class-D Amp, MicroSD, LiPo Power, WS2812B, and IR; featuring updated all-layer antenna keepout, additional decoupling capacitors on 5 V/3.3 V rails, four M3 mounting holes, finalized rounded-corner PCB outline and hand-friendly width, centered ESP32-S3-DevKitC-1 and symmetrically aligned MicroSD/I²S mic, centered bottom silkscreen title text, and zero-error ERC/DRC; layout is finalized and ready for routing #ESP32S3 #DevKitC1 #antennaKeepout #decoupling #M3MountingHoles #routingReady

Falcon One v1 – Compact STM32-Based GNSS + LoRa 915 MHz Telemetry Node with LiPo Power and USB-C

ESP32 Environmental Monitor PCB with USB‑C, 500 mA LiPo Charging (TP4056, R9=2.4 kΩ), and I2C Sensors – 50 mm × 35 mm, 2‑Layer

1S LiPo USB-C Power Management and 3.3V Regulation Subsystem with SIM800L Modem, TPS61088 5V Boost for MAX98357A Audio and W25Q32 SPI MP3 Storage

Pocket Soundbox – LiPo-Powered Cellular I2S MP3 Audio Player (SIMCom A7670E-LASE, Nano-SIM, I2S MP3 to PCM5101A DAC, FM8002E Amp, 1.8V↔3.3V UART/PWRKEY Level Shifting, Remapped J4, MP2315 3.3V Power Path, USB-C ESD/TVS) with power ON/OFF long-press control via SW2 and Q2 featuring pull-ups, RC debounce, and PFET safety clamp (#Cellular #I2S #LiPo #Audio #powerbutton #debounce #PFET)

Ultra-Compact 20x10 mm Wearable BLE Finger Gesture PCB with ESP32-C3, IMU, Li-Po Charging, and Flex Sensor Support

Product Type: Wearable AI pendant Primary Function: Records audio, generates transcripts, and organizes information about daily interactions User Interaction: Input: Activation button Output: RGB LED ring, Bluetooth link to phone Key Features: Audio Recording: Activated by button press Transcription: Converts audio to text Sentiment Analysis: Embedded AI evaluates sentiment Information Management: Filters essential information and action items Technical Specifications Form Factor: Wearable pendant Display: RGB LED ring around the edge Sensors: 2 Microphones 1 Button Connectivity: Bluetooth for phone linkage Wi-Fi USB-C for charging Wireless Protocol: Wi-Fi, Bluetooth Battery Type: LiPo 2000 mAh Battery Life: 6 hours of continuous use Charging Method: USB-C Operating Voltage: 3.3V Operating Conditions: Temperature Range: -10°C to 70°C Humidity: 10 to 90% Software: Python for AI and processing Compliance: RoHS, FCC, CE Reliability: 20,000 hrs Life Cycle Expectancy: 10 years AI Capabilities Speech to Text Recognition: Converts audio input to written text Embedded AI Sentiment Analysis: Evaluates the mood or sentiment expressed in the text Essential Information Filtering: Identifies and segregates crucial data and actionable items Power Consumption and Efficiency Power consumption must align with battery capacity to ensure 6 hours of continuous operational use.

Product Type: Wearable AI pendant Primary Function: Records audio, generates transcripts, and organizes information about daily interactions User Interaction: Input: Activation button Output: RGB LED ring, Bluetooth link to phone Key Features: Audio Recording: Activated by button press Transcription: Converts audio to text Sentiment Analysis: Embedded AI evaluates sentiment Information Management: Filters essential information and action items Technical Specifications Form Factor: Wearable pendant Display: RGB LED ring around the edge Sensors: 2 Microphones 1 Button Connectivity: Bluetooth for phone linkage Wi-Fi USB-C for charging Wireless Protocol: Wi-Fi, Bluetooth Battery Type: LiPo 2000 mAh Battery Life: 6 hours of continuous use Charging Method: USB-C Operating Voltage: 3.3V Operating Conditions: Temperature Range: -10°C to 70°C Humidity: 10 to 90% Software: Python for AI and processing Compliance: RoHS, FCC, CE Reliability: 20,000 hrs Life Cycle Expectancy: 10 years AI Capabilities Speech to Text Recognition: Converts audio input to written text Embedded AI Sentiment Analysis: Evaluates the mood or sentiment expressed in the text Essential Information Filtering: Identifies and segregates crucial data and actionable items Power Consumption and Efficiency Power consumption must align with battery capacity to ensure 6 hours of continuous operational use.

Product Type: Wearable AI pendant Primary Function: Records audio, generates transcripts, and organizes information about daily interactions User Interaction: Input: Activation button Output: RGB LED ring, Bluetooth link to phone Key Features: Audio Recording: Activated by button press Transcription: Converts audio to text Sentiment Analysis: Embedded AI evaluates sentiment Information Management: Filters essential information and action items Technical Specifications Form Factor: Wearable pendant Display: RGB LED ring around the edge Sensors: 2 Microphones 1 Button Connectivity: Bluetooth for phone linkage Wi-Fi USB-C for charging Wireless Protocol: Wi-Fi, Bluetooth Battery Type: LiPo 2000 mAh Battery Life: 6 hours of continuous use Charging Method: USB-C Operating Voltage: 3.3V Operating Conditions: Temperature Range: -10°C to 70°C Humidity: 10 to 90% Software: Python for AI and processing Compliance: RoHS, FCC, CE Reliability: 20,000 hrs Life Cycle Expectancy: 10 years AI Capabilities Speech to Text Recognition: Converts audio input to written text Embedded AI Sentiment Analysis: Evaluates the mood or sentiment expressed in the text Essential Information Filtering: Identifies and segregates crucial data and actionable items Power Consumption and Efficiency Power consumption must align with battery capacity to ensure 6 hours of continuous operational use.

Introducing an innovative IoT board designed around the ESP32-WROOM-32 chipset, perfect for projects that require both performance and portability. The system is engineered to operate on a stable external 5V power source while also offering the flexibility of a 12V LiPo battery for on-the-go applications. With seamless integration of both analog and digital sensors and comprehensive support for all standard communication interfaces, this board is your gateway to creating sophisticated and reliable IoT solutions. #IoT #ESP32 #Sensors #5V #LiPoBattery #PortableTech #EmbeddedSystems #Innovation

This is a custom flight controller based around a STM32F103C8T6. It contains a BMP280 to measure the altitude of a drone, an ICM-42688-P that contains an accelerometer and gyroscope for motion control. The input voltage should be 12V and is set up to work with a LiPo battery.

Power supply for 3.3V from a 2S LiPO using an XT30 connector

The Argon is a powerful Wi-Fi enabled development board for Wi-Fi networks. It is based on the Nordic nRF52840 and has built-in battery charging circuitry so it’s easy to connect a Li-Po and deploy your local network in minutes. #Particle #Argon #Template #Iot #Project-template

My version/layout of MT3608 DC-DC Step Up Converter Booster for my Lipo Charger Arduino Shield This version comes with castellated pads on the edges!

My version/layout of MT3608 DC-DC Step Up Converter Booster for my Lipo Charger Arduino Shield

3.7V Lipo Charger. Interfaces with MT3608 Boost Converter to convert 3.7V to 5V. Slot on top of your Arduino and charge your battery while the Arduino is plugged in. Or run your Arduino portably using the battery.