This paper presents a drone based surveillance approach that uses Computer Vision and Deep Learning based techniques to check if two persons are violating ...

In this paper, we used a deep learning based approach that used object detection and tracking methods to deal with social distancing violations to overcome ...

Once the bounding boxes for the target detection are acquired, next we calculate the relative distance between the sensor and the target object.

Social Distance Violation Detection (SoDV) using pre-trained YOLOv3 model ... Detect the people in the video stream using any of the object detection models ...

Aug 14, 2024 · While doing this, I stumbled on a repository containing 25 pre-trained object detection models with performance and speed indicators. Having ...

In this project, the objecctive is to build an Object Detection System to detect persons and calculate the distance between them and detect social distance ...

This study proposes a real-time method for monitoring physical distancing compliance in indoor spaces using computer vision and deep learning techniques.

Apr 12, 2023 · The Object detection model is tested and trained on COCO dataset, which contains 80 different types of classes with 33000 images, out of all ...

The detection algorithm uses a pre-trained algorithm. To estimate social distance violations between people, we used an approximation of physical distance.

Jun 1, 2020 · In this tutorial, you will learn how to implement a COVID-19 social distancing detector using OpenCV, Deep Learning, and Computer Vision.