AquAlert (2019)

By Shelby Smith and Srujana Bhoopanam

We created a device that can be used to measure several water quality indicators. Our aim was to create a means by which people can learn about and acknowledge the natural features of the Bronx River in an approachable and engaging way. In creating our device, AquAlert, as a test pilot for a program that aims to get people invested in water quality, conservation, and the ecological components of cities, we hope to play a role in ushering in a new age of rivers roles in cities.

The ways in which cities learn to coexist with rivers is becoming an increasingly important topic. The start of the 21st century has been characterized by many cities taking a new approach to water and flood control management. However, redesigning urbanites’ relationship with their city’s water poses a substantial challenge. Our project aims to play a role in this reconceptualization process by uncovering elements of the natural world that exists within cities in order to reconnect people with the natural environment within cities.

We chose to use a pH sensor to measure the acid to base ratio of the water, a turbidity sensor in order to detect the purity of the water, as well as an ambient temperature sensor.

We identified thirteen different testing locations ahead of time, each in different sections of the park in order to see how, if at all, the water quality varies further upstream or downstream.

This allowed us to take into different factors that could impact water quality as well, such as proximity to a parking lot or other impervious surfaces, which would result in a great degree of run off and potential impact the pH or turbidity levels.

As the true benefit of our project is in its ability to act as a communication tool, the presentation and narration of our collected data was a key consideration. In order to distill the collected data in such a way that is easy to understand, interactive, and engaging, we created a website to host the garnered data so that it is accessible to the broader public. The website portrays a digital, interactive map of Starlight Park with the various testing locations identified by a lilypad icon. Each icon can be clicked, revealing an expandable window that contains a detailed report of the recorded pH, turbidity, and temperature values, as well as what their values indicate about the current health of the Bronx River.

The benefit of this device, as a communication tool that has a behavioral impact, is only realized if it can be seen by a wide audience. Deploying AquAlert on a citywide scale by placing the devices in publicly accessible bodies of water along parks in the Hudson River, East River, and Bronx River, the device could have an immediate impact.

People could begin to see how the pH, turbidity, and ambient temperature of the water changes over time and – more importantly – begin to recognize what types of human actions impact the quality of the water. Further, By providing a way in which people can understand the relative quality of the waterways and conceptually linking human behavior and development to the health of the water, we believe that a citywide deployment of AquAlert could allow people to feel more connected to the natural, aquatic environment that surrounds them.

Birdybird: Affective Avian Environmental Interface

Team

Ri Le <rl2999@columbia.edu>, https://rile.digital

Suprima Bhele <sb4042@columbia.edu>

Birdybird is a cute ‘lil robot bird that emotionally reacts to local air quality. Birdybird senses location, the presence of volatile organic compounds and methane gas, collects this data for detailed spatial analysis, and performs this data through its face and through song.

Air quality and location data

Total Volatile Organic Compounds (TVOCs) such as equivalent carbon dioxide (eCO2) and metal oxide (MOX). (CCS811 Air Quality Breakout)

VOC’s are a byproduct of industrial products used in the construction industry. Various recent studies suspect VOCs are carcinogenic and related to cancer outcomes (Bari & Kindzierski, 2018) (Shuai et al., 2018).

Location data is used for plotting and mapping of data points and spatial analysis.

Respects your privacy

Birdybird is harmless to the public. It does not sense any information related to the body and therefore does not raise any concerns about surveillance or privacy. However, we are not responsible for any sadness or disappointment indirectly caused by public reflection on global warming and/or loosening regulation of environmental quality :-).

Biometric Sensors (Behavioral)

 

 

the technical information are collected from sparkfun.

Price: $49.95

This sensor is a voice recognition shield for Arduino boards integrating an EasyVR module. It has all of the features of the EasyVR module in a shield form factor that simplifies connection to the Arduino main board and PC. It is a multi-purpose speech recognition module designed to add versatile, robust and cost effective speech and voice recognition capabilities to virtually any application.


2. SparkFun Sound Detector

Price: $10.95

This Sound Detector is a small and very easy to use audio sensing board with three different outputs.

  • audio
  • binary (yes or no: presence of sound)
  • analog of amplitude

The 3 outputs are simultaneous and independent, so you can use as many or as few as you want at once.

“If you aren’t using one in your particular application, simply leave that pin disconnected.”


3. Spectacle Light and Sound Kit

Price: 149.95

This kit makes it easy to incorporate button-activated sound and light effects into projects with ease!

Ther are tools you need to make array of lights and sounds in many different fashion, all at the push of a button. If you dontwant light, there is just Sound Kit too for $99.95

Quick example of some of the fun this has in store


4. MyoWare Muscle Sensor

Price: $ 37.95

This sensor is another way to gain data on behavioral biometric. We use our muscles to control things. We push buttons, pull levers, move joysticks… but what if we could take the buttons, levers and joysticks out of the equation? This is the MyoWare Muscle Sensor, an Arduino-powered, all-in-one electromyography (EMG) sensor from Advancer Technologies. The MyoWare board acts by measuring the filtered and rectified electrical activity of a muscle; outputting 0-Vs Volts depending the amount of activity in the selected muscle, where Vs signifies the voltage of the power source. It’s that easy: stick on a few electrodes (not included), read the voltage out and flex some muscles!

This design allows you to attach biomedical sensor pads directly to the board itself getting rid of cables. This new board also includes a slew of other new features including, single-supply voltage of +3.1V to +5V, RAW EMG output, polarity protected power pins, indicator LEDs, and (finally) an On/Off switch.

Measuring muscle activity by detecting its electric potential, referred to as electromyography (EMG), has traditionally been used for medical research. However, with the advent of ever shrinking yet more powerful microcontrollers and integrated circuits, EMG circuits and sensors have found their way into all kinds of control systems.


5. Picboard Starter Kit

Price: $69.95

This kit includes PicoBoard, multiple pieces of hardware to get you started, and connecting components to get you hooked up. Using the Scratch programming language, one can easily create simple interactive programs based on the input from sensors. The PicoBoard incorporates a light sensor, sound sensor, a button and a slider, as well as four additional inputs that can sense electrical resistance via included cables.

This requires no prior exerience in programming.

This kind of light and sound sensor could be a good way to see in chosen neighborhoods:

  • if there is less light, more sound, does that refer to any sort of crime? clubbing (aka social venues)?
  • if there is less light, less sound, is there any correlation?
  • if there is more light, less sound what does that imply (if it does)?

6. Circuit Scrbe Maker

Price: $79.95

This is a massive conductive ink pack with a full range of modules and other items that can be used to create cool circuits. Similar to the Lite Kit, this Circuit Scribe Maker Kit is easy to set-up, choose the modules you want to connect, draw your circuit lines with the included Conductive Ink pen and you’re good to go! With this kit you will be able to work with more advanced output components and sensors.

I am adding this as a component to add to the sensors I have posted above. You could add sound to your circuits using the Buzzer Module, fade between colors by combining the RGB LED and Potentiometer Modules, or control your outputs with light using the Photosensor.

With Circuit Scribe you can draw exactly what you want, no wires or breadboard required.


Some Tutorials and code examples:

For working on Fingerprint and Arduino

For Easy VR:

Link to Source Code

 

 

 

Infrared Array Breakout

“It’s like having a thermal camera, just in a lower resolution. To make it even easier to get your low-resolution infrared image, all communication is enacted exclusively via I2C, utilizing our handy Qwiic system”

Cost: $40.95

Technical Description

The on-board AMG8833 Grid-EYE possesses an accuracy rate of ±2.5°C (±4.5°F) with a temperature range of 0°C to 80°C (32°F to 176°F). Additionally, this IR “camera” board can detect human body heat at about 7 meters or less (that’s about 23 feet) and has a frame rate of 10 frames a second to one frame a second. It is important to point out that while this version of the Grid-EYE is the high-performance type with a high gain, it is only 3.3V tolerant. IE: Don’t try to operate it at 5V (you won’t have a very good time).

Applications

Can detect human body heat at about 7 meters

Limitations

It has very specific features which are the following :

  1. Operating Voltage(Startup): 1.6V – 3.6V
  2. Operating Voltage(Timekeeping): 1.5V – 3.6V
  3. Current Consumption: 4.5 mA
  4. 8×8 Thermopile Array
  5. Temperature Range: 0°C to 80°C (32°F to 176°F)
  6. Accuracy Rate: ±2.5°C (±4.5°F)
  7. Human Detection Distance: 7m or less (22.966ft)

Skill

3-Competent

Links

https://www.sparkfun.com/products/14607

https://github.com/sparkfun/Qwiic_GRIDEye

Sample

https://github.com/sparkfun/SparkFun_GridEYE_Arduino_Library