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Social Distancing Monitor

The Social Distancing Monitor is an image processing project that utilizes an inbuilt Histogram of Oriented Gradients (HOG) descriptor to recognize people in a given area and estimate the distance between them. The primary objective is to determine whether individuals are following social distancing guidelines by maintaining a safe distance from one another.

Features

  • Ddetection of people using HOG descriptor.
  • Estimation of distances between detected individuals.
  • Visualization of detected individuals and safe distancing status.
  • Alerts or notifications if social distancing guidelines are violated on screen.

Python Modules used

  • OpenCV (cv2)
  • Numpy

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An image processing project that utilizes an inbuilt Histogram of Oriented Gradients (HOG) descriptor to recognize people in a given area and estimate the distance between them

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