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Gravity: 27 Pcs Sensor Set for Arduino

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SKU TPX00018 Barcode 6959420900305 Show more
Original price €0
Original price €92,24 - Original price €92,24
Original price
Current price €92,24
€92,24 - €92,24
Current price €92,24
VAT included

Excellent bundle with some of the most popular sensors: start measuring light, gas, sound, touch, distance and many other things!

Overview

If you want to start playing with sensors, this sensor kit for arduino will be the perfect choice for you to get started. It comes with bundle of the most popular sensors such as light sensors, gas sensors, sound sensors, touch sensors, distance sensor, accelerometer and lots more which gives unlimited possibility to sense the physical world on your embedded devices.
 
The Kit Includes the following sensors:
  • Relay Module V2 
  • Digital RED LED Light Module 
  • Digital White LED Light Module 
  • Digital Green LED Light Module 
  • Digital Blue LED Light Module 
  • Analog Grayscale Sensor 
  • LM35 Analog Linear Temperature Sensor 
  • Analog Ambient Light Sensor 
  • Digital Vibration Sensor 
  • Digital Tilt Sensor 
  • Digital Push Button 
  • Capacitive Touch Sensor 
  • Digital magnetic sensor 
  • Analog Sound Sensor 
  • Analog Carbon Monoxide Sensor (MQ7)
  • Analog Voltage Divider 
  • Piezo Disk Vibration Sensor 
  • Analog Rotation Sensor V2
  • Joystick Module 
  • Flame sensor 
  • Triple Axis Accelerometer MMA7361
  • Digital Infrared motion sensor 
  • Sharp GP2Y0A21 Distance Sensor (10-80cm)(3.94-31.50") 
  • Soil Moisture Sensor 
  • Digital Push Button (Red)
  • Digital Push Button (White)
  • Steam Sensor
 

The wiki for these sensors and devices makes it easy to start learning. So save by purchasing them together and start experimenting now!


Get Inspired

PROJECT HUB
MKR WAN 1310 IoT - operating at 0, 92mA
MKR WAN 1310 IoT - operating at 0, 92mA
Project Tutorial by andreas_waldherr

Reducing the current drain is a must especially for the LoRa Version of the MKR Series. But there are some pitfalls which must be avoided.

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BLOG
Let’s connect at The Things Conference 2023
Let’s connect at The Things Conference 2023
September 13, 2023

It’s time to catch up on all things LoRaWAN® and low-power IoT! Our team is looking forward to returning to The Things Conference this year, joining all LoRa® key players in Amsterdam on September 21st-22nd. Our experts will be showcasing new products and applications relevant to the technology that is putting the “smart” in smart cities, smart agriculture, smart logistics, and more. Indeed, with IoT’s huge growth potential in both B2B and B2C applications, LoRaWAN® is stepping up as one of the technologies of the future. Already established as the low-power connectivity choice, according to The Things Network it is reaping the benefits of innovations that increase efficiency even further – and is poised to support ESG (environmental, social and governance) goals with reduced energy consumption and secure data transmission. LoRaWAN® novice, or expert? We’ve got you covered Whether you are just realizing the potential of LoRaWAN® or have been a fan of it since day one (like us!), we’ll have something for you to discover at our booth at The Things Conference: Looking for an entry-level option? The Arduino MKR WAN 1310 offers you the renowned versatility of the practical and cost-effective MKR family and adds LoRa® connectivity to projects requiring low power.Ready to take it up a notch? The solution for advanced applications requiring sturdy computational power is to boost Arduino Pro’s Portenta H7 module (in any of its three variants) with the capability to run embedded computer vision applications, connect wirelessly via LoRa® to the Arduino Cloud (or third-party infrastructure), and activate systems upon the detection of sound events. How? With the Portenta Vision Shield LoRa®, of course!Feel the need for high performance? Pair the Portenta Max Carrier with a Portenta X8 module to add LoRa® connectivity to your project, transforming your robust SOM into a single-board computer or reference design enabling edge AI for

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