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Boson - Light Sensor - Input

Item Code: DFR004
$11.44 (inc. GST)
$9.95 (ex. GST)
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The Boson Light Sensor Module is a smart and accessible tool designed to detect the intensity of light in a space. With its intuitive design and plug-and-play functionality, this module empowers learners to explore how changes in light levels can trigger different actions. It can be programmed to activate outputs such as lights or sounds when it becomes dark, offering an excellent starting point for understanding automation and sensor-based systems. Ideal for younger learners and advanced students alike, the light sensor promotes critical thinking and creativity through real-world problem-solving applications.

Educational Benefits:

  • Encourages experimentation with light levels and automated responses.
  • Introduces students to sensor-based data collection and decision making.
  • Supports cross-curricular learning in STEM, especially in science and technology.
  • Reinforces computational thinking through conditional logic and programming.
  • Develops practical skills in digital systems and automation.

Classroom Ideas:

  • Create a nightlight that turns on automatically when a room becomes dark.
  • Build a model house where students use sensors to control lights in different rooms.
  • Use the light sensor to design a greenhouse system that adjusts based on sunlight levels.
  • Incorporate the module into storytelling projects where light changes trigger sound or movement.
  • Conduct science experiments comparing light levels in various classroom locations.

Product Specifications:

  • Input module with light intensity detection capabilities.
  • Colour-coded (blue) for easy identification within the Boson system.
  • No soldering required - connected via 3-pin flexible cables.
  • Magnetic back for attachment to whiteboards or other metal surfaces.
  • Includes mounting plates compatible with LEGO bricks and screws.
  • Compatible with micro:bit and Arduino platforms.
  • Supports Scratch, MakeCode, JavaScript, Python, and C programming.
  • Suitable for environmental monitoring, science experiments, or IoT data logging.
  • Recommended for educational use in classroom environments.