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PIR Motion Sensor LED Night Light USB Rechargeable Night Lamp For Kitchen Cabinet Wardrobe Lamp Staircase Wireless Closet Light

Features:1. Infrared sensor + Fresnel lens, no induction during the day2. Wide sensing range, 3-6 meters sensing distance, 120° sensing angle3. Induction mode, no need to turn off the light manually, 25S automatically turns off4. 0.6W low power, energy saving, long life5. Comfortable soft light, high-quality LED lamp beads, your eyes6. With magnets, does not fallSpecifications:Product Name: LED Human Body Induction Night LightColor: WhiteRated Voltage: 5VRated Power: 0.6WMaterial: ABSLED: 8PCS L

  • 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 PIR Motion Sensor LED Night Light USB Rechargeable Night Lamp For Kitchen Cabinet Wardrobe Lamp Staircase Wireless Closet Light. 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