TCJ Smart City innovations 2017

Every year we challenge our university students to solve real world problems using their software development skills. This year, with our Smart City theme, we challenged teams to use artificial intelligence, sensors, augmented reality/virtual reality/ mixed reality and security in their solutions. They did not disappoint.

Here are some quick stats about Teleios Code Jam this year, we had:

  • 43 challenge submissions in Stage 1
  • 11 team presentations in Stage 2
  • 6 grand submissions in Stage 3
  • Coding languages used: C++, C#, JavaScript, Java & Python
  • Hardware used: PH Sensors, Cameras, Vibranium (not really) & Raspberry Pi devices
  • Platforms used: Tensor Flow, Firebase, Azure & other platforms

Six (6) teams made it all the way to Grand Submission. Here are some details about each team and the solutions they built.

Team: Kings

Project: Safe Driving

Summary

A mobile application that utilizes the phone's camera and Artificial Intelligence to determine when the driver needs an audible alert due to being distracted or drowsy.

Members

  • Asif    Mahamad
  • Caleb    Beard
  • Kevin    Wickham
  • Landy    Wallace
  • Savion    Wharton

Team: MIND

Project: Protection By Detection

Summary

Protection By Detection is a new system that monitors existing CCTV video streams or any current security system to determine if a weapon has been drawn in the frame and sends a discreet alert to an android application so that the user can verify the scenario. 

Members

  • Jimmel Greer
  • Kyle Fonrose
  • Matthew Forbes
  • Tevin Achong

Team: VisioTech

Project: Smart Recycling Collection (SRC)

Summary

The Smart Recycling Collection (SRC) system is an integrated waste management system that coordinates, in real time, the collection and distribution of recyclable materials.

Members

  • Aadidev Sooknanan
  • Daniel Gordon
  • Ismaeel Hosein
  • Javid Ali
  • Naomi Padmore

Team: Amigos++

Project: Ay Boy!

The 'Ay Boy' system is intended to reduce vehicular accidents caused by intoxicated drivers. A camera uses facial expression recognition to determine if the driver is potentially intoxicated.

Members

  • Asa Yee
  • Brandon Scott
  • Jerome Rique

Team: 404, Error Not Found

Project: Water Contamination Detection Device

Summary

An electronic sensor was used to measure water pH levels and raise an alarm is it exceeded acceptable levels.

Members

  • Akil Hosang
  • Kristan Birbalsingh
  • Jared Hamid
  • Keanu Nichols
  • Sayeed Sayphone

Team: Drop Database

Project: Met-Oracle

Met-Oracle tracks, measures and estimates weather patterns

Members

  • Gabriela Sewdhan
  • Michael Ali
  • Qarun Bissoondial