In the fight against the coronavirus, social distancing has proven to be a very effective measure to slow down the spread of the disease. While millions of people are staying at home to help flatten the curve, many of our customers in the manufacturing and pharmaceutical industries are still having to go to work everyday to make sure our basic needs are met.

To complement our customers’ efforts and to help ensure social distancing protocol in their workplace, Landing AI has developed an AI-enabled social distancing detection tool that can detect if people are keeping a safe distance from each other by analyzing real time video streams from the camera.

For example, at a factory that produces protective equipment, technicians could integrate this software into their security camera systems to monitor the working environment with easy calibration steps. As the demo shows below, the detector could highlight people whose distance is below the minimum acceptable distance in red, and draw a line between to emphasize this. The system will also be able to issue an alert to remind people to keep a safe distance if the protocol is violated.

As part of an ongoing effort to keep our customers and others safe, and understanding that the only way through this is with global collaboration, we wanted to share the technical methodology we used to develop this software. The demos below will help to visually explain our approach that consists of three main steps: calibration, detection, and measurement.

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