Fingerprint Sensor AS608 - A Beginner's Guide
One touch can replace keys. This project uses an optical fingerprint sensor to enroll users and then grant access with a quick scan.
read tutorial →The Weight Sensor Amplifier HX711 is a load cell sensor designed for scales, dosing systems, and force measurement. It is a practical fit for makers, students, and engineers who want reliable sensor data in embedded builds.
Key details include Category: load cells weight sensors.
| Product | Sensor style | Standout |
|---|---|---|
| Weight Sensor Amplifier HX711 | load cell sensor | Current item |
| Weight Sensor Kit 5KG | load cell sensor with analog output | analog output |
| Weight Sensor Scales Kit HX711 5KG | load cell sensor | model HX711 |
| Weight Load Cell 5kg Straight Bar | load cell sensor | weight sensing, pressure sensing |
This sensor is a good fit for digital scales, smart bins, hopper monitors, postal scales, and dosing rigs.
Pair it with an Arduino-compatible board, ESP32, or Raspberry Pi, plus a breadboard or jumper wires for quick setup and testing.
Useful add-ons include an HX711 amplifier, a rigid frame, and mounting hardware, depending on how you plan to power, mount, and log the sensor.
| Product | Weight Sensor Amplifier HX711 |
|---|---|
| Category | load cells weight sensors |
Check the pin labels on the Weight Sensor Amplifier HX711 and match them to your controller voltage, ground, and signal pins. Keep wiring short and verify the logic level before powering the module. Load cells need a proper amplifier such as an HX711 and solid mechanical mounting. Small twists or uneven force can change the reading.
1 × Weight Sensor Amplifier HX711
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One touch can replace keys. This project uses an optical fingerprint sensor to enroll users and then grant access with a quick scan.
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read tutorial →Coming from UNO and the Pico won't show a COM port? Here's the BOOTSEL trick, the driver fix, and the first sketch that actually works.
read tutorial →Share what you built. Photos, BOM, what worked, what didn't.
view thread →Symptom + what you tried + clear photo = answers within hours.
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