PROJECTS

ESTIMATING SPINE COLOURS FROM IMAGES OF SEA URCHINS

I developed a program that is able to
reliably detect a sea urchin from an image
with a complex background, segment the
detected sea urchin in order to separate
the spines from its body, and then extract
the colour of the urchin’s spine tips using
Python, Deep Learning and OpenCV.

For more info, click on the github link below:

SMART HOME CONTROL SYSTEM USING HUMAN GESTURE

I developed a hand gesture recognition
system with a 95 % accuracy in recognizing different hand gestures using Python, Deep Learning and OpenCV. The main objective of this project was to design and implement software that is able to segment, extract, and differentiate different static hand signs.

For more information, click on the github link below:

SWITCH MODE POWER SUPPLY (SMPS)

As a team of students, we designed and implemented a SMPS that converted a 230 volts AC power supply into either a 5 or 10 volts DC output. During this project, our engineering knowledge of the use of rectifiers, transformers and voltage regulators was tested.

The system also consisted of a switch that was operated though a Pulse Width Modulator (PWM). The PWM used two STM32f051 micro-controllers, one to create a pulse train for the switch at a certain frequency and the other to control the output to either 5 volts or 10 volts.

Projects: Projects