Skip to content

ali-asgar/UnitedSensorsofAmerica

Repository files navigation

UnitedSensorsofAmerica

The best robot a family can ever have!

We used Arduino and SnappyXO kit and a number of sensors (Ultrasonic, Temperature, Humidity, LDR) to create a robot able to solve the maze challenge, as well as explore the environment and interact with it and the members of family. We used Raspberry-Pi and its camera to run Face Detection algorithm that distinguishes between different family members, as well as detects unknown people and activates an alert. Also, we implemented mapping of sensors' data into Unity and its visualization in real time. For the Health Care bot, the app engine, Google Cloud storage, Softheon workshop UI, DialogFlow, Firebase were used - to create a personalized care-receiving experience.

gallery 2 gallery 1 gallery 20190217_123200 20190217_131035 20190217_125051 20190217_134115 20190217_134803

About

Won 1st place out of 35 teams, Won ULC Robotics Challenge at HACK@CEWIT 2019

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages