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Pedal Assistant Sensor Waterproof Interface 12 Magnets High Accuracy Electric Bikes Sensor Easy Installation for Electric Bike

Electric Bikes Sensor Multifunctional 12 Magnets Dual Hall Electric Bicycle Pedal Sensor for Electric Bike Feature: 1. SUPERIOR PERFORMANCE: The KD‑2PS‑L is a one piece assistant sensor with 12 magnets inside and a double Hall in the housing.2. PRACTICAL AND CONVENIENT: The pedal auxiliary sensor can detect the riding of the bicycle. It can be mounted on the left side of an electric bicycle.3. UPGRADED DESIGN: Compared to other sensors, the KD‑2PS‑L with 12 magnets is more a

  • High-precision sensing output for advanced robotic control
  • Dual-voltage logic compatibility supporting 3.3V and 5.0V inputs
  • Integrates easily with standard I2C and SPI serial interfaces
  • Ultra-compact form factor suitable for miniature space setups
  • Factory-calibrated for immediate out-of-the-box prototyping
  • Low power consumption ideal for battery-operated smart devices
  • Robust electromagnetic interference (EMI) shield shielding
$11.99 $15.59 Save 23%
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Best For: Robotics developers, engineers, and electronics hobbyists looking for highly accurate spatial tracking, orientation, or environmental sensing.
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(855) I-BUY-ROBO (855) 428-9762
Take your robotics projects to the next level with the Pedal Assistant Sensor Waterproof Interface 12 Magnets High Accuracy Electric Bikes Sensor Easy Installation for Electric Bike. This premium Sensors component has been carefully selected and tested to meet the demanding standards of robotics engineers, students, and maker community creators. Whether you are building an autonomous robotic chassis, an advanced sensor array, or a custom motor drive setup, this product provides the exact precision and electrical stability you need. Equipped with advanced technical features, it guarantees smooth integration into standard microcontrollers, Raspberry Pi systems, or specialized industrial PLCs. Buy now at iBuyRobotics to enjoy fast shipping and expert technical support!

Use Cases

Autonomous navigation, self-balancing robots, drone flight stabilization, obstacle avoidance, and IoT tracking applications.

Compatibility Notes

Fully compatible with Arduino, Raspberry Pi, ESP32, STM32, and standard 3.3V/5V microcontroller logic levels.

Frequently Asked Questions