Overview:
The purpose of this study is to develop an image processing/computer vision system which detects social distancing violations in Istanbul using data collected by security cameras provided by the municipality. After violations are detected, we visualize the violation volume density and hourly average distances at each location.
Teaser Video:
Team Members:
Kubilay Gazioğlu
Yeditepe University, MS Candidate in Data Science, 2nd year
Rana Bengisu Kalkan
Sabancı University, BSc in Economics & Computer Engineering, 4th year
Meliha Gizem Çelik
Yıldız Technical University, MSc in Computer Engineering, 1st year
Berat Büyükkızıldağ
Intelligent Systems - Microsoft Dynamics Consultant
Ahmet Arif Avcı
Siemens - Fullstack Developer & Marmara University - Business Informatics
Stakeholder: