This startup has just created a new AI tool to monitor social distancing in the workplace; issues an alert if you are less than 6 feet apart
As coronavirus spread slows across the country, many companies are planning to bring their employees back to work in a safe and sensible manner to prevent the spread of the deadly virus in their workplace. Landing AI is a Palo Alto, California-based artificial intelligence startup that provides deployment-ready AI solutions and enterprise-wide transformation programs for customers worldwide.
The startup has created a machine learning-based social distancing detector tool that could check if you’re social distancing properly at work. The new workplace monitoring tool issues an alert when anyone is less than six feet apart. The tool is already been used by Amazon to monitor the distances between their warehouse staff.
While millions of people are staying at home to help flatten the curve, Landing AI has already deployed the tools to many of its customers in the manufacturing and pharmaceutical industries that still have to go to work everyday to make sure our basic needs are met.
To complement their 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.