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DFRobot: SEN0290 Gravity Lightning Distance Sensor
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DFRobot: SEN0290 Gravity Lightning Distance Sensor

DFRobot: SEN0290 Gravity Lightning Distance Sensor

SEN 0290 Gravity AS3935 IC Lightning Sensor for Distance, Intensity, and Frequency Detection

DFrobot offers an advanced level of sensors at an affordable cost than any other competitor brand in the market, making them ideal for the one who wants to start some Projects through Different types of sensors.

After finding Different types of sensors on market, we at robu.in have determined that DFrobot is one of the good brands that offer a wide range of sensors at an Appropriate price.

Gravity: Lightning Sensor employs AMS innovative AS3935 Franklin lightning sensor IC and Coilcraft MA5532-AE dedicated antenna to detect lightning distance, intensity, and frequency within a radius of 40km both indoors or outdoors. The embedded man-made disturber rejection algorithm can effectively avoid the electrical interference generated by various household appliances. In addition to allowing general weather enthusiasts to measure local thunderstorm data simply and efficiently, thanks to its compact size and wide detection range, it can also be embedded in various smart wearable devices for outdoor climbers or people who work at heights.

This provides an early warning of thunderstorms that people can perceive so that people can take precautions a step ahead. The sensor can also be embedded in the indoor protection device inside lightning-sensitive equipment, and automatically trigger these devices to switch to the backup power to isolate the power grid when lightning strikes. At the moment of lightning, the interrupt pin IRQ generates a pulse. This can be used to trigger the shutter to open, helping photographers to accurately capture the exciting moment of lightning.

The maximum estimated distance of a lightning strike is 40km. Limited by the inherent measurement method and algorithm, the distance estimation resolution is 1~4km, 40 km in 15 steps.


Interfacing Lightning Distance Sensor with Arduino:


Df Robot Arduino Onnection



Interfacing Lightning Distance Sensor with Raspberry pi:


Df Robot Rasp Commcetion


Application:
  1. Consumer Weather Station (thunderstorm measurement)
  2. Wearable Devices (outdoor thunderstorm early warning)
  3. Lightning Photography

Features:

  1. Lightning detection within 40km in 15 steps
  2. Lighting intensity detection
  3. Used both indoors or outdoors
  4. Embedded man-made disturber rejection algorithm

Useful Links:

Please visit the DFrobot wiki page for more information about this product. Any suggestions for improvement, such as correcting errors, adding more demo codes or tutorials, will be highly appreciated.

    $6.49

    Original: $21.62

    -70%
    DFRobot: SEN0290 Gravity Lightning Distance Sensor

    $21.62

    $6.49

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    DFRobot: SEN0290 Gravity Lightning Distance Sensor

    SEN 0290 Gravity AS3935 IC Lightning Sensor for Distance, Intensity, and Frequency Detection

    DFrobot offers an advanced level of sensors at an affordable cost than any other competitor brand in the market, making them ideal for the one who wants to start some Projects through Different types of sensors.

    After finding Different types of sensors on market, we at robu.in have determined that DFrobot is one of the good brands that offer a wide range of sensors at an Appropriate price.

    Gravity: Lightning Sensor employs AMS innovative AS3935 Franklin lightning sensor IC and Coilcraft MA5532-AE dedicated antenna to detect lightning distance, intensity, and frequency within a radius of 40km both indoors or outdoors. The embedded man-made disturber rejection algorithm can effectively avoid the electrical interference generated by various household appliances. In addition to allowing general weather enthusiasts to measure local thunderstorm data simply and efficiently, thanks to its compact size and wide detection range, it can also be embedded in various smart wearable devices for outdoor climbers or people who work at heights.

    This provides an early warning of thunderstorms that people can perceive so that people can take precautions a step ahead. The sensor can also be embedded in the indoor protection device inside lightning-sensitive equipment, and automatically trigger these devices to switch to the backup power to isolate the power grid when lightning strikes. At the moment of lightning, the interrupt pin IRQ generates a pulse. This can be used to trigger the shutter to open, helping photographers to accurately capture the exciting moment of lightning.

    The maximum estimated distance of a lightning strike is 40km. Limited by the inherent measurement method and algorithm, the distance estimation resolution is 1~4km, 40 km in 15 steps.


    Interfacing Lightning Distance Sensor with Arduino:


    Df Robot Arduino Onnection



    Interfacing Lightning Distance Sensor with Raspberry pi:


    Df Robot Rasp Commcetion


    Application:
    1. Consumer Weather Station (thunderstorm measurement)
    2. Wearable Devices (outdoor thunderstorm early warning)
    3. Lightning Photography

    Features:

    1. Lightning detection within 40km in 15 steps
    2. Lighting intensity detection
    3. Used both indoors or outdoors
    4. Embedded man-made disturber rejection algorithm

    Useful Links:

    Please visit the DFrobot wiki page for more information about this product. Any suggestions for improvement, such as correcting errors, adding more demo codes or tutorials, will be highly appreciated.

      Product Information

      Shipping & Returns

      Description

      SEN 0290 Gravity AS3935 IC Lightning Sensor for Distance, Intensity, and Frequency Detection

      DFrobot offers an advanced level of sensors at an affordable cost than any other competitor brand in the market, making them ideal for the one who wants to start some Projects through Different types of sensors.

      After finding Different types of sensors on market, we at robu.in have determined that DFrobot is one of the good brands that offer a wide range of sensors at an Appropriate price.

      Gravity: Lightning Sensor employs AMS innovative AS3935 Franklin lightning sensor IC and Coilcraft MA5532-AE dedicated antenna to detect lightning distance, intensity, and frequency within a radius of 40km both indoors or outdoors. The embedded man-made disturber rejection algorithm can effectively avoid the electrical interference generated by various household appliances. In addition to allowing general weather enthusiasts to measure local thunderstorm data simply and efficiently, thanks to its compact size and wide detection range, it can also be embedded in various smart wearable devices for outdoor climbers or people who work at heights.

      This provides an early warning of thunderstorms that people can perceive so that people can take precautions a step ahead. The sensor can also be embedded in the indoor protection device inside lightning-sensitive equipment, and automatically trigger these devices to switch to the backup power to isolate the power grid when lightning strikes. At the moment of lightning, the interrupt pin IRQ generates a pulse. This can be used to trigger the shutter to open, helping photographers to accurately capture the exciting moment of lightning.

      The maximum estimated distance of a lightning strike is 40km. Limited by the inherent measurement method and algorithm, the distance estimation resolution is 1~4km, 40 km in 15 steps.


      Interfacing Lightning Distance Sensor with Arduino:


      Df Robot Arduino Onnection



      Interfacing Lightning Distance Sensor with Raspberry pi:


      Df Robot Rasp Commcetion


      Application:
      1. Consumer Weather Station (thunderstorm measurement)
      2. Wearable Devices (outdoor thunderstorm early warning)
      3. Lightning Photography

      Features:

      1. Lightning detection within 40km in 15 steps
      2. Lighting intensity detection
      3. Used both indoors or outdoors
      4. Embedded man-made disturber rejection algorithm

      Useful Links:

      Please visit the DFrobot wiki page for more information about this product. Any suggestions for improvement, such as correcting errors, adding more demo codes or tutorials, will be highly appreciated.

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