Language Breakdown
Lines of code distribution across 16 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Wolfram Language
Collaboration Network
Global Impact visualization
Repos
16
PRs
0
Growth
+18%
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Coding Streak
Contribution activity over the past year
Selcuk Senturk
@selcuksntrk
Nehir Buket Polat
@buketpolat
Elif Beyza Tok
@elifbeyzatok00
Selin Erguncu
@selinerguncu
Bahar Aydemir
@baharay
Top Repositories
This repository implements a real-time Vehicle Distance Measurement System using YOLOv12 and perspective geometry. Calculates distances to surrounding vehicles in three ROI lanes with adaptive warning thresholds, automatic license plate blurring for privacy, and color-coded safety indicators for dashcam applications.
This repository implements a real-time Safety Lane Violation Detection System using YOLOv12 object detection and tracking. Monitors emergency lane usage, detects vehicles crossing safety boundaries, and provides live violation statistics with color-coded visualization for traffic enforcement applications.
This repository implements a versatile Face Detection and Person Recognition System using computer vision and deep learning. It provides a modular toolkit for detecting faces and identifying specific individuals in both static media (images, videos) and real-time webcam streams.
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This repository implements a Video to Audio Converter that extracts audio tracks from video files. Built with Python for efficient media format conversion, enabling users to convert various video formats to audio files for multimedia processing applications.
This repository implements a real-time Industrial Safety Gear Detection system using a custom-trained YOLO model on the Ultralytics Platform. Detects workers and classifies PPE compliance (helmet, safety vest, gloves, face mask) with color-coded visualization. Achieves 97.1% mAP50, 94.6% Precision and Recall.
This repository implements a real-time Road Surface Obstacle and Traffic Warning Object Segmentation System using instance segmentation techniques. Detects and segments road hazards, obstacles, and traffic warning signs with pixel-level precision for enhanced situational awareness in autonomous driving and ADAS applications.
This repository implements a comprehensive computer vision system for real-time traffic sign recognition (24 classes) with automatic privacy protection through vehicle plate and person blurring. Built with YOLOv11 models, it's designed for autonomous vehicles and GDPR-compliant surveillance applications.
This repository implements a real-time Road Lane Detection System using computer vision techniques. Features Canny edge detection, ROI masking, and Hough Transform to identify road lane markings in video streams. Processes visual data for accurate lane boundary detection with OpenCV and Python for ADAS and autonomous driving applications.
This repository implements a real-time Vehicle Speed Estimation System using YOLOv8 object detection and perspective transformation. Tracks multiple vehicles within a defined ROI, calculates speeds in km/h using geometric principles, and provides annotated video output for traffic monitoring and analysis applications.
Open Source Impact
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