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.

Carrier PCB for a removable 5S 18.5 V 4000 mAh LiPo-powered Raspberry Pi 400 workstation. Provides protected input, independent low-voltage cutoff, dedicated fused 5.1 V USB-C Pi output, 5 V USB-C LCD output, 12 V center-positive KVM output, cooling-fan power, and a safety-interlocked USB-C PD 5S charging path. This project remains under engineering review and is not fabrication-ready.

Wearable Industrial Safety Monitor — STM32C011 + ESP8266, IMU/environment/microphone sensing, RGB/vibration alerts, LiPo/AP7361 power, 70 mm × 50 mm 2-layer PCB with bottom GND plane.

3.3V LiPo-Powered UWB Sensor Node: XIAO ESP32S3 & RyUwb_lite Integration