In the time of a pandemic, it is important to keep a minimum distance from others to prevent the spread of disease. However, it is not easy to measure this distance in real life. To help this issue, we aim to build a visual assistant to track the own distance from others on the street.

Assuming there is a user with a monocular mobile phone camera, webcam, or video we detect humans, estimate their depths from RGB image and build a warning mechanism.

This project was built within Perception and Learning in Robotics and Augmented Reality praktikum offered at the Technical University of Munich (TUM) in summer semester 2020.

Sample Video[1]



Monocular depth estimation

Human segmentation / tracking

and more! Make sure to checkout our Github org:


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Supervised by Evin Pınar Örnek (evinpinar)