Overview
Go interactive with your applications with this new sensor kit! 37 sensors are included in one kit, which definitely gives you a bigger bang for your buck.
In the version of this sensor kit, we add more sensor modules like, color sensor, digital wattmeter, heart rate monitor sensor, conductivity sensor switch, and digital shake sensor. Besides that, there are RGB LED module, speaker, vibration motor module, DC motor module and RGB backlight display to help you build up your interactive projects.
Use a variety of sensors to realize your brilliant idea! All of our sensors employ Gravity standard interface, plug and play, also we have a huge amount of code data for your reference. Plug everything in our IO expansion board, burn the codes into it, and then you are ready to go.
With everything included in this kit, you will be able to sense color, heart rate, light, temperature, gas, humidity, flame, direction or let you project speak, shine, and display text.
This Kit Includes:
- Gravity: TCS34725 RGB Color Sensor
- Gravity: Heart Rate Monitor Sensor
- Gravity: I2C Digital Wattmeter
- Gravity: Conductivity Sensor Switch
- Gravity: Digital Shake Sensor
- Gravity: Analog Grayscale Sensor
- Gravity: Analog LM35 Temperature Sensor
- Gravity: Analog Ambient Light Sensor
- Gravity: Digital Vibration Sensor
- Gravity: Digital Tilt Sensor
- Gravity: Digital Capacitive Touch Sensor
- Gravity: Digital Magnetic Sensor
- Gravity: Analog Sound Sensor For Arduino
- Gravity: Analog Carbon Monoxide Sensor (MQ7)
- Gravity: Analog Voltage Divider V2
- Gravity: Digital Piezo Disk Vibration Sensor
- Gravity:Analog Rotation Potentiometer Sensor V2
- Gravity: Joystick Module V2
- Gravity: Analog Flame Sensor
- Gravity: Triple Axis Accelerometer MMA7361
- Gravity: Digital Infrared Motion Sensor
- Gravity: URM09 Analog Ultrasonic Sensor
- Gravity: Analog Soil Moisture Sensor
- Gravity: Steam Sensor
- Gravity:Digital Push Button (White)
- Gravity: Digital Push Button (Red)-DFRobot
- Gravity:Digital Push Button (Yellow)
- Gravity:Digital White LED Light Module
- Gravity:Digital RED LED Light Module
- Gravity: Digital Green LED Light Module
- Gravity: Digital Blue LED Light Module
- Gravity: Digital RGB LED Module
- Gravity: Digital 5A Relay Module
- Gravity: Digital Speaker Module
- Gravity: Vibration Motor Module
- Gravity: 130 DC Motor Module
- Gravity: I2C 16x2 Arduino LCD with RGB Backlight Display
Discover more about the sensors included in the set!
Get Inspired
Use an Arduino Nicla Sense ME to see if you need to freshen up after a workout
Having constant, reliable access to a working HVAC system is vital for our way of living, as they provide a steady supply of fresh, conditioned air. In an effort to decrease downtime and maintenance costs from failures, Yunior González and Danelis Guillan have developed a prototype device that aims to leverage edge machine learning to predict issues before they occur. The duo went with a Nicla Sense ME due to its onboard accelerometer, and after collecting many readings from each of the three axes at a 10Hz sampling rate, they imported the data into Edge Impulse to create the model. This time, rather than using a classifier, they utilized a K-means clustering algorithm — which is great at detecting anomalous readings, such as a motor spinning erratically, compared to a steady baseline. Once the Nicla Sense ME had detected an anomaly, it needed a way to send this data somewhere else and generate an alert. González and Guillan's setup accomplishes the goal by connecting a Microchip AVR-IoT Cellular Mini board to the Sense ME along with a screen, and upon receiving a digital signal from the Sense ME, the AVR-IoT Cellular Mini logs a failure in an Azure Cosmos DB instance where it can be viewed later on a web app. To read more about this preventative maintenance project, you can read the pair’s write-up here on Hackster.io.