High-power 150 W DC-DC boost converter designed to step up input voltage from 10–32 V to an adjustable 12–35 V output. Ideal for Arduino, Raspberry Pi, robotics, battery charging, solar projects, and high-current LED drivers with up to 10 A peak output and high efficiency.
This 4×3 Matrix Membrane Keypad features 12 tactile keys in a grid layout for precise digital input. Durable, lightweight, and easy to interface with microcontrollers like Raspberry Pi, ESP32, or STM32.
Specs:
12 keys (0–9, *, #)
Flexible membrane with adhesive back
7-pin interface for simplified I/O
Ideal for embedded systems, password input, or access control
High-power 400 W DC-DC boost converter that steps input voltage from 10 V–60 V up to an adjustable 12 V–80 V output. Delivers up to 15 A peak current with high efficiency, perfect for Arduino, Raspberry Pi, solar charging, battery packs, LED drivers, and high-current robotics projects.
The Gravity Analog Turbidity Sensor is designed to measure the cloudiness or haziness of a liquid. It detects suspended particles in water using optical sensing technology and outputs an analog signal proportional to turbidity levels. Ideal for Arduino, Raspberry Pi, and IoT water quality monitoring systems.
The Gravity Magnetic Induction Sensor detects magnetic fields and converts them into digital signals for easy integration with microcontrollers like Arduino, Raspberry Pi, and ESP32. It is highly sensitive, stable, and ideal for magnetic field detection, proximity sensing, and automation applications.
The GY-530 VL53L0X Laser Distance Sensor is a high-precision Time-of-Flight (ToF) ranging sensor that measures absolute distance using infrared laser light. Designed for Arduino, Raspberry Pi, and IoT projects, it provides accurate and fast distance measurement up to 2 meters with excellent ambient light immunity.
The Hall Effect F41 Sensor is a high-sensitivity magnetic sensor module designed for motor speed, rotation, and position detection in Arduino and Raspberry Pi projects. Using the Hall Effect principle, it detects changes in magnetic fields and outputs digital signals for precise and stable motion control.
The R305 Fingerprint Sensor Module is a high-precision optical biometric sensor that captures and verifies fingerprints. Compatible with Arduino, NodeMcu, and other microcontrollers, it’s ideal for security systems, attendance tracking, and access control applications.
The R307 Fingerprint Reader Module is an optical biometric sensor for fast and accurate fingerprint enrollment and verification. Compatible with Arduino, NodeMcu, and Raspberry Pi, ideal for secure access control, attendance systems, and DIY IoT projects.