Raspberry Pi 2, 3, 4, 5 or 400 Model B+ connector with RPi board outline and mounting holes. good for Raspberry Pi Shield projects. Insulation Height 0.335" (8.51mm) Compatible part number: PPPC202LFBN-RC #Raspberry_Pi #Shield #RPi #template #part

This is a reference design of the Bluetooth Low-Energy (BLE) temperature sensor. It uses an ESP32-MINI-1 microcontroller to connect to an SHT31-DIS-B2.5KS sensor. The sensor can be powered through connector J15, and additional components provide voltage regulation and derbiaising. Temperature data can be accessed via BLE. #referenceDesign #simple-embedded #espressif #template #reference-design

This project is a plant care system that uses an ESP32-S3-MINI-1U-N8 microcontroller to automate plant care tasks. This system includes three Songle relays, multiple resistors, capacitors, and transistors, all powered at 3.3V, 5V, or 12V. It also incorporates a USB Type-C connector. #referenceDesign #edge-computing #edgeComputing #espressif #template #iot #ESP32 #relay #reference-design

Raspberry Pi 2, 3, 4 or 400 Model B+ connector with RPi board outline and mounting holes. good for Raspberry Pi Shield projects. Insulation Height 0.335" (8.51mm) Compatible part number: PPPC202LFBN-RC #RaspberryPi #HAT #RPi #template #project

This project is a reference design for a 2A Solar Panel Power Manager With 7.2V LiFePO4 Battery and 17V Peak Power Tracking based on LT3652 IC. It includes components like resistors, capacitors, LEDs, and a JST connector for power input and battery connection. The design caters to high input voltage applications and ensures efficient charging with minimal components. #project #LT3652 #ReferenceDesign #charger #BatteryManagement #solar #LiFePO4 #referenceDesign #bms #analog #template #reference-design

A WIP power connector interface to make small rechargeable Lithium cells easily swappable

Raspberry Pi 2, 3, 4 or 400 Model B+ connector with RPi board outline and mounting holes. good for Raspberry Pi Shield projects. Insulation Height 0.335" (8.51mm) Compatible part number: PPPC202LFBN-RC #RaspberryPi #HAT #RPi #template #project

sEMG-DAQ is a wearable 6 channel data acquisition unit for capturing surface electromyographic (sEMG) signals from human arm muscles using SJ2-3593D jack connectors while conditioning, digitizing, processing and transmitting them as sEMG data to an external AI accelerated board through an SM12B-SRSS IDC connector where AI models are run for various applications including robotic control, muscle signals medical assessment and gesture recognition. The board leverages an INA125P instrumentation amplifier together with filter stages utilizing LM324QT op-amps for conditioning and an STM32G4A1VET6 microcontroller for the digitization, processing and data transmission of the signals. Since AI models can only be as good as the data, the design of such a DAQ is necessary to ensure clean, reliable and real-time data for AI applications requiring sEMG data. The board also has USB-FS and JTAG to cater for debugging. The power (5V) is fed through a screw terminal and is regulated by two LDK320AM LDO regulators to offer 5V, 3.3V and 1.8V to meet the requirements of various components on the board.