‘Smartest’ car park manages and finds spaces
The “world’s smartest car park” uses deep learning to streamline the parking process for car parks and drivers alike, says Cambridge Consultants.
Not to be confused with a popular spy movie the system, named Goldeneye, offers a more cost-effective way to scale parking monitoring via the cloud, making it possible to choose parking location, reserve and pay for a parking spot online while also allowing the user to continually monitor their car. Retailers could harvest valuable information on footfall from vehicles, dwell time at retail locations, car brands and more, Cambridge Consultants adds.
Goldeneye uses machine vision and a deep learning solution developed entirely at Cambridge Consultants, as well as the existing security camera and networking systems on-site at car parks to monitor the availability of parking bays. 12 cameras are used to monitor 430 parking spaces with digital signs at the entrance to the site.
Cambridge Consultants say this is better than traditional parking monitoring solutions, which use sensors for each individual parking space and can be expensive to install and maintain. Similarly, although Automatic Number Plate Recognition (ANPR) systems are considered to be effective, they do not offer the parking facility owner or drivers any greater information other than entry and exit from the car park and stay time.
“We’re now at a point where deep learning can move out of the research fields, into the real world, and we’re excited to be pioneering this world first for cities of the future,” said Thomas Carmody, head of transport and infrastructure at Cambridge Consultants.
“What’s truly remarkable about Goldeneye is the fact that the system taught itself to identify and operate a car park. It does this without the need for any additional computing equipment. This is a further example of Cambridge Consultants disrupting markets with breakthrough technologies and there’s much more to come”.
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