Açıklama eklenmemiş
Açıklama eklenmemiş
This project aims to demonstrate the basic communication logic (messaging/protocol flow) in embedded systems using C++ through examples. By offering a simple and understandable structure, it provides a starting point for trying and developing scenarios such as serial communication.
It is a social media platform project offering real-time interaction and AI-powered features. It is JavaScript-based and can be easily run with Docker.
GOMULU_TEST is a project that aims to implement testing/verification logic in embedded systems using C++ through example scenarios. It aims to perform boundary value, error condition, and regression checks in a more organized and reliable way by writing modular tests.
Project ROS2 provides a modern, flexible, and reliable infrastructure for developing robotic applications. It is easily usable on different platforms and supports a wide range of applications.
A personal portfolio website with a modern and responsive design. Developed with Node.js/Express.js, it offers dynamic content management and a mobile-friendly design. A professional platform that showcases my skills, projects, and work experience as a backend developer.
Smart Object Tracking — Real-time, multi-algorithm supported object tracking with OpenCV. Easy operation with mouse-based ROI selection or automatic detection, and support for performance and results recording.
This project demonstrates object tracking using OpenCV with multiple built-in tracking algorithms such as KCF, MIL, BOOSTING, TLD, and MEDIANFLOW. The user manually selects the target object in the first frame, and the tracker follows it across the video in real time.
An open-source computer vision project optimized for real-time finger detection and counting; it analyzes hand movements quickly and reliably. It provides a practical foundation for non-touch interfaces, educational tools, and accessibility solutions.
It is suitable for use in image processing, basic computer vision techniques, and rapid prototyping. It provides a clean starting point for developing educational and practical applications (filtering, edge detection, feature extraction, simple object tracking, etc.).
Real-time face tracking using OpenCV with Haar Cascade for initial face detection and CamShift algorithm based on HSV color histogram back-projection. The face is detected once and continuously tracked across frames with adaptive window size and rotation.