Using Artifical Intelligence to concentrate on realworld Computer Vision applications
A bit about me
Currently, I act as a Computer Vision Consultant for companies based in US, Trinidad, & UK. Working on my computer is only part of me, I am a world-traveller and my top hobby is learning to play drums!
My latest work
"T&T COVID-19 Simulator"
Scenarios to estimates how lockdown changes can affect the number of Covid cases.
How to use interactive simulator shown below
Set start date for Phase 1 Lockdown Removal
Select Policy Choices (tick the boxes)
Control Social Distance/Mask Wearing/Hand Washing Adherance (move slider to estimate what % of people would practice these)
Click tabs Forcasted Cases, Forcasted Cumulated Cases, Actual Data
Repeat for Lockdown Removal Phases 2 & 3 (tick the boxes)
Note: scroll down on the image to view entire simulation
Click on 'what if there were no lockdowns?'oh no!!!
As an instructor, I created courses to train professionals and also help students in Computer Vision, Deep Learning, Data Analysis & Data Science for Business.
Manning Publications. NY, USA.
Deep Learning content creation for educational and training purposes.
Caribbean DataFam. POS, Trinidad
As a Data Scientist, my role is to create simulations of Covid-19 scenarios for Trinidad & Guyana.
Packt Birmingham, UK
Creating computer vision projects to teach & train professional developers
The speed limit plan discussed in this paper was approved by Edinburgh’s City Council on 13 January
2015. A data-driven methodology for evaluating the impact of the introduction of a speed limit on
the punctuality of bus services.
Probabilistic Modelling of the Impact on Bus Punctuality of a Speed Limit Proposal in Edinburgh
We propose a data-driven methodology for evaluating the impact of the introduction of a speed limit on
the punctuality of bus services. In particular, we use
high-frequency Automatic Vehicle Location data to
parameterise a model that represents the movement
of a bus along predefined patches of the route.