Janco van Eeden

Machine Learning Engineer | Tech Enthusiast | Lifelong Learner

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About Me

I hold a Bachelor of Engineering (Computer Engineering), specialising in a real-world application of machine learning and computer vision optimised for resource-constrained microcontrollers. Motivated by the field's rapid progress, I am eager to learn, study, and apply engineering techniques.

Currently, I am completing a Master of Engineering degree (expected December 2025). As a member of the University of Pretoria's Intelligent Systems Research Group, my research focuses on developing innovative algorithms in computer vision, particularly 3D object detection and novel view synthesis pipelines.

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My Skills

Technologies and tools I've worked with

Programming

Python, C/C++, Java, Delphi, ASM, SQL, Swift

Frameworks

PyTorch, VS Code, Git, Docker, Qt, Tensorflow

Hardware

Microcontrollers, FPGAs, actuators, sensors

My Projects

A collection of projects I've built while learning

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Real-time Autonomous Smart Camera for Lectures

A fully autonomous smart camera designed to detect and track lecturers during presentations. The system utilises YOLOv3 for object detection and KCF for real-time tracking. The computer vision algorithms was implemented from scratch (only NumPy) to run on embedded systems.

Quad-core Cortex-A73 2GB STM32 Analog Servo Motors 5MP RGB Camera
Project 2 screenshot

Coming soon...

3D Object Detection Using Discrete Radiance Field Representations via Sparse-Dense Convolutional Neural Networks

Developed a novel 3D object detection method using discrete radiance field representations (NeRF, 3DGS, SVRaster) and sparse-dense convolutional neural networks.

6GB VRAM CUDA 11 PyTorch 2.1
Source Code

Get In Touch

Have a question? Feel free to reach out!

LinkedIn

jancoveeden

GitHub

jancoveeden