INSUBCONTINENT EXCLUSIVE:
Computer vision techniques used for commercial purposes are turning out to be valuable tools for monitoring people behavior during the
Zensors, a startup that uses machine learning to track things like restaurant occupancy, lines and so on, is making its platform available
for free to airports and other places desperate to take systematic measures against infection.
The company, founded two years ago but
covered by TechCrunch in 2016, was among the early adopters of computer vision as a means to extract value from things like security camera
It may seem obvious now that cameras covering a restaurant can and should count open tables and track that data over time, but a few years
ago it wasn&t so easy to come up with or accomplish that.
Since then Zensors has built a suite of tools tailored to specific businesses and
spaces, like airports, offices and retail environments
They can count open and occupied seats, spot trash, estimate lines and all that kind of thing
Coincidentally, this is exactly the kind of data that managers of these spaces are now very interested in watching closely given the present
social distancing measures.
Zensors co-founder Anuraag Jain told Carnegie Mellon University — which the company was spun out of — that
it had received a number of inquiries from the likes of airports regarding applying the technology to public health
considerations.
Software that counts how many people are in line can be easily adapted to, for example, estimate how close people are
standing and send an alert if too many people are congregating or passing through a small space.
&Rather than profiting off them, we thought
we would give our help for free,& said Jain
And so, for the next two months at least, Zensors is providing its platform for free to &selected entities who are on the forefront of
responding to this crisis, including our airport clients.&
The system has already been augmented to answer COVID-19-specific questions, like
whether there are too many people in a given area, when a surface was last cleaned and whether cleaning should be expedited, and how many of
a given group are wearing face masks.
Airports surely track some of this information already, but perhaps in a much less structured way
Using a system like this could be helpful for maintaining cleanliness and reducing risk, and no doubt Zensors hopes that having had a taste
via what amounts to a free trial, some of these users will become paying clients
Interested parties should get in touch with Zensors via its usual contact page.
AI and big data won&t work miracles in the fight against
