Camio Presents Coronavirus Social Distancing Analytics

By Sean Patton, Published Apr 20, 2020, 10:31am EDT (Info+)

Camio presented its social distancing analytics for responding to coronavirus at the April 2020 IPVM New Products show.

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Inside this report:

  • A 30-minute video from Camio including IPVM Q&A
  • Background on the company and the new product
  • Key Positive factors to consider
  • Key Negative factors to consider

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Key *********

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Key *********

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Comments (10)

Maybe not as efficient as thermal cameras if both would have perfect accuracy, but definitely cheaper and should be less controversial as the technology seems to be more likely to be reliable.

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I agree that we will see a lot of companies developing Social distancing analytics (or Proximity Detection) in the next weeks year (probably months) and it will be interesting to see the other innovative ideas people come up with to help during the COVID-19 pandemic. I just published an article on LinkedIn about this very subject.

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I definitely love seeing the efforts of technology adapting to new business challenges quickly.

How do you envision customers interacting with an alarm? I can see things like occupancy and mask detection being easy to scale but not too sure on this.

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Seconded. I am curious about how people will use such alarms. Thinking out loud, if it's employees, I can see why you might warn them but it's customers, what do you do if it's just in passing? Or do you (or can you) set some form of alarm that it needs to violate social distancing for a certain period of time (i.e., closer than 6' for more than 5 seconds)?

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I think the response depends on the use case. I don’t think alarms will be suitable in a lot of scenarios (such as in public spaces) because you would have people passing each other and also families walking together - which would result in a lot of alarms. However in a public space you can (and probably would want to) trigger an alarm if you get a large group forming (such as protestors demanding an end to lockdown...) as there would be a high chance of the virus spreading.In spaces such as town centres and malls the output would be more likely reports and heat maps which can be used to monitor areas where social distancing is not being adhered to and therefore action needs to be taken - such as police presence or additional signage reminding people about social distancing.In a commercial scenario it could be used for monitoring employees so that managers will be aware of whether socially distancing is being observed or if staff are putting each other at risk.

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I don't really see this as a real-time alerting solution but a tool to teach employees that they are not following the 6ft distancing guidelines. We have been testing for a couple of days and it does seem to work well. I have not checked to see if it messed any events.

What I see as being useful is the graph below showing your violations so you can make adjustments to your areas to keep people away from each other and then see your results the next day.

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The demo video appears to show people walking further away from the camera without the analytic circle re-scaling. How are they measuring distance in the 2D image? What is the set up like? Does it involve cone placement and measurement input like a BOSCH configuration? I'm skeptical about the creation of a 6 foot buffer zone in these fields of view as a software overlay.

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The circles around people do scale with the geometry of the floor plane. But those circles are for illustration, since the actual calculation of impinging social distance is based on where people are standing in the scene. To define the floor plane, click 4 corners of a rectangle on the floor like this:

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Thanks for posting. However, I still don't see how you are setting scale. I would imagine that there must be a measurement input in order to determine 6 foot of linear distance.

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The people observed in the scene provide that measurement input (we're precise within the range of average heights).

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