SMART RETAIL FACIAL RECOGNITION BEING USED BY TEAM UNBEATABLE. (L-R) TYREE SMITH, KEISHA WAITHE AND DAVID HAMILTON.
(HEIDI ALERT AND IKECHI GRIFFITH NOT SHOWN).
Team Unbeatable
A key objective of Teleios Code Jam is to inspire participants to be creative and explore the possibilities through software, and what better way could we drive the point home, than to “walk the talk”. Enter Team Unbeatable, an exhibition team from within the ranks of Teleios. This team, whose members change each year is a staple at every TCJ, and although they are not allowed to compete they are dedicated to putting their best foot forward, bringing a fun, fresh and honest perspective to the experience of software creation, whilst embodying the principles that the TCJ is built upon.
TEAM UNBEATABLE 2015
Solution: Smart Retail was an eye tracking and face mapping solution that was designed with machine learning to track the age and gender of the individuals via face mapping. Further more this then provided a suggested attire for the individual.
Technologies used were:
Microsoft Kinect v2 (PC Version) Microsoft Face API Microsoft Azure Machine Learning Microsoft Power BI Team Members: Heidi Alert, Keisha Waithe, David Hamilton, Tyree Smith and Ikechi Griffith.
TEAM UNBEATABLE 2014
Solution: prototype of a smart drone
Technologies used:
A.R Drone
TEAM UNBEATABLE 2013
Solution Presented: Designed, built and created a Multi-touch table.
Demo of custom presentation software, a game and a music DJ application. A video of it can be seen here [https://www.youtube.com/watch?v=vFSEgrNoAlg]
Technologies used: Microsoft Xbox Camera; Infra-red illuminators.
TEAM UNBEATABLE 2012
Solution Presented: Demo to show that visual presentations and other activities can be powered by the MSFT Kinect, which reads the body language of the presenter.
Technologies used: Microsoft Kinect.
TEAM UNBEATABLE 2011
Solution Presented: A robot prototype called RALF which can be controlled by mobile phone (SMS, Bluetooth).
Used to highlight the potential use of remote operated vehicles in the Caribbean for high risk situations, such as gathering intelligence on volcanic terrain, searching through rubble after an earthquake, or with un-manned railway transport systems which can be utilized in larger Caribbean territories.
TEAM UNBEATABLE 2010
Solution Presented: Geo-tagging demo, showing how to incorporate Bing to locate places of interest for leisure, or in cases of natural disasters e.g. flooding. Developed for the web.
Technologies used: Bing SDK incorporated with Geotagging.
TEAM UNBEATABLE 2008
Solution Presented: Demo of SMS to voice, utilizing a SKYPE call where the audio was played via the speech SDK.
Technologies used: SOAP-based API, the SMS Push Service, C#, .NET; Microsoft Speech SDK.