D-collar

It's more than a monitor
It's a listener and a translator

Motivation

1.Pets are important members of our families and people care about their dogs’ life quality and what to learn more about their dogs’ inner mind.
2.Knowing more about dogs help people communicate with them which will definetly get some social problems solved.
3.We have smart watches, dogs deserve their smart collars!

System

-The collar collects the health data through various sensors and send them to the AWS server in the cloud.
-The AWS server stores the data to the MongoDB, using Artificial Neural Networks to analyze data and sends status indicator(colors of the LED strip) to the collar.
-The Android App can query the health data stored in the DB and display the historical health data through a graphic interface.

Architecture

Technical Components

Sensors: Infrared Thermometer(MXL90614), Pulse sensor(SEN -11574), Accelarameter(ADXL345)
Processor: Adafruit ESP-8266
Accessories: NeoPixel Digital RGB LED Strip

Adafruit ESP-8266, Infrared Thermometer(MXL90614), Pulse sensor(SEN -11574), NeoPixel Digital RGB LED

Prototype

Results

References

1.https://www.sparkfun.com/products/9570
2.https://www.adafruit.com/products/2959
3.https://www.mathworks.com/help/supportpkg/mobilesensor/examples/counting-steps-by-capturing-acceleration-data-from-your-android-device.html
4.https://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.signal.find_peaks_cwt.html
5.https://www.getwuf.com/

Our Team

Wenyu Fu

Description and link

Yang yang

Description and link

Xuanyu Xiao

Description and link

Contact

Wenyu Fu: wf2233@columbia.edu
Yang Yang: yy2694@columbia.edu
Xuanyu Xiao: xx2243@columbia.edu

Columbia University Department of Electrical Engineering
Class Website: Columbia University EECS E4764 Fall '16 IoT
Instructor: Professsor Xiaofan (Fred) Jiang