Page 70 - Security Today, September 2018
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augmented video in the medium distance, with the big scene view on a large screen.
The live video, augmented visuals, and text data will be in con- cert. When looking at a large scene, the data will change what you are seeing in my near-eye screen. With this intelligence augmenta- tion, the system will know that you are looking at a face or building or license plate; it will help the user figure out who or what they are looking at and show some related information. That is actually all possible today.
A Vision Forward
The city of Hartford is a great example of technology as a force mul- tiplier. Milestone and our partners have worked with the city of Hart- ford C4 Crime Center in creating an intelligent city beyond human capability. The Crime Center uses BriefCam Synopsis technology with the Milestone VMS platform and other analytics like ShotSpot- ter and Hawkeye Effect GPS location. It also uses Axis cameras and all the devices it has aggregated in Hartford to solve crimes that it could not solve before.
Not only are many crimes therefore now solvable, but also the crime center does not have to spend 30 hours doing low-cognitive, manual tasks, like sitting on a rooftop to drug watch all day and night.
Officers can now sit at their desk and within just a few minutes, know exactly where a drug house is by seeing an augmented reality of foot traffic over time, accordioned into useful overview.
Officers can simply go into the data and extract the problem. That precision and efficient use of resources is a game-changer in how we as humans will work in our normal jobs. This is just one of many examples that we will start to see as we identify and address the problems we want
to solve using new technologies.
An Intelligence Revolution
Having machines take over low-cognitive tasks will be the big trend for years to come. With proper aggregation of information, machines can be better at low-cognitive tasks than humans are, and often de- liver a better quality of service than humans.
Amazon is applying this to retail stores where the concept of a checkout is being replaced by customers simply walking out. By us- ing data from smartphones, cameras, sensors, purchase histories and other data points, Amazon is making it possible for us to walk into a store, pick up what we need and walk out. Everything else is taken care of by machines. This type of thinking and tool creation is in its earliest infancy, but will continue to address problems that are of more value to our lives.
In the book “The Inevitable,” Kevin Keely writes that the next 10,000 startups will be based on bringing Artificial Intelligence to something, like what happened during the electrical industrial revolu- tion when everything was electrified. We have seen washing machines, for example, go from manual operation, to electric and now to having a network port and some level of AI.
The intelligent industrial revolution is begin- ning to happen all around us. It will be very dis- ruptive within the security and surveillance indus- try—but also insightful and liberating as we free human efforts to higher cognitive processes and address the larger challenges.
Keven Marier is the director of technology busi- ness development at Milestone Systems.
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ARTIFICIAL INTELLIGENCE
Bob,
There’s a NEW addedfeature. Now there are optional auxiliary outputs available for automatic doors that also have locks on them.
— Jill