digital signal processing
and computer vision
|linkedin / filiparag|
|github / filiparag|
This paper describes pipelined FPGA architecture for digital image filtering with linear and adaptive median filter. In order to find the median luminance required for the adaptive median filter, two algorithms have been implemented and compared: bitonic sorting and cumulative histogram.
The aim of this project is modeling, simulation and implementation of a self-balancing robot. The problem of a self-balancing robot is considered as a problem of inverted pendulum stabilisation, while a DC motor is used as the drive motor.
This project shows an implementation of a system for face landmark detection on a portrait. Haar-like features are used for face detection. Facial landmarks mark 20 specific facial points. They are classified using GentleBoost classification algorithm.
This project was my high school graduation project. It describes a school bell system implemented using Python on a Raspberry Pi 3 board. In addition to software control, a PCB shield was designed for easier control by school staff.
The goal of this project is to observe meteors, by a global network of CCTV cameras pointed at the night sky. Each camera is connected to a Raspberry Pi 2 running open-source software for video capture, compression and meteor detection.
Junior Computer Vision Engineer
Assistant at Department of Applied Physics and Electronics
Founder and lecturer
Computing and Control Engineering
Computer Science Class
|C++ 11||x86 Assembly|
proficient, CAE certificate (2015)
basic knowledge, A1 level