Making Sense of Sensors: Visualizing Sensor Data
The goal of this maker challenge is to demystify sensors, in particular the ambient light sensor, and to map its readings visually. In today’s world, we make sense of the environment around us by filling it with sensors, and we use output devices to display real-time data in a meaningful way. Take any smartphone as an example. Aside from the embedded camera and microphone, a number of other sensors collect a wide range of data. Depending upon the model, these sensors may collect data on proximity, motion, ambient light, moisture, compass, and touch. Some of these data are directly visualized through an app, while many operate internally and without a user interface, just below the surface of the screen. In order to become more familiar with the technology that we use (and often take for granted) on a daily basis, your challenge is to use the engineering design process as you assemble a light sensor circuit, observe its readings using the Arduino Serial Monitor, and then create your own unique visualization by interfacing with the Processing software. Students learn how to use calibration and smoothing to capture a better picture of the data. Afterwards, they share their visualizations with the entire class. The time required for this challenge depends on students’ prior knowledge of Arduino and Processing software. Background resources for beginners help students get up to speed on microcontroller hardware and offer additional challenges for intermediate and advanced users.
Use a digital sandbox microcontroller to learn about sensors!Copyright 2018 SparkFun Electronics (CC BY-2.0)
Hardware
- Option 1: Arduino Uno
- USB cable
- breadboard
- photoresistor (additional/alternative sensors may be used for challenges)
- 10k (Ω) Ohm resistor
- jumper cables (3+)
- Option 2: Arduino boards with built-in sensors
- SparkFun Digital Sandbox
- Adafruit Circuit Playground at Adafruit
Software
Contributors
Andrew Rose
Supporting Program
RET Site in Mechatronics and Robotics with Entrepreneurship and Industry Experiences, NYU Tandon School of Engineering
Acknowledgements
This curriculum was developed through the Mechatronics and Robotics with Entrepreneurship and Industry Experiences research experience for teachers under National Science Foundation RET grant no. EEC 1542286. However, these contents do not necessarily represent the policies of the NSF, and you should not assume endorsement by the federal government.
Copyright
2018 by Regents of the University of Colorado; original © 2018 New York University
