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public safety and security efforts as well as emergency response.
Technology has advanced in recent years, and transportation agencies are benefiting from those advancements in a number of ways. Multi-sensor, high-definition cam- eras produce sharp, detailed images that capture more activity and produce footage that is easier to view. Facial recognition ap- plications analyze crowd images and identify criminal suspects. People counting applica- tions reduce congestion and lower security risks due to overcrowding. And when crowds do form, officials can use video integrated with crowd noise to monitor crowd behavior, so they can stop potentially dangerous situa- tions before they escalate.
But analytics are not limited to security applications.
Video Analytics and Transportation – Going Beyond Safety and Security
As mentioned, the transportation indus- try affects everyone and is an essential part of the U.S. economy. Thus, transportation agencies and private companies alike use all means possible to deliver fast, efficient ser- vices while minimizing operational expenses at the same time.
That has resulted in new use cases for vid- eo analytics beyond the realm of safety and security. For instance, shipping companies and port authorities use video analytics to monitor traffic flow and staging areas to im- prove the efficiency of movement in and out of ports. Marketers for transportation agen- cies pair video analytics with digital signage to create targeted advertising based on local demographics. Transportation administra- tors use video and sensors to monitor road conditions for potholes and pavement repair needs and to alert travelers of backups and
delays. Rail systems pair video with Internet of Things sensors to monitor track condi- tions for safety issues or maintenance needs. Airports analyze video to optimize the flow of people, alleviate crowding, and improve the traveler experience.
With advanced analytics, transportation organizations now can use video to deliver better service, lower the cost of maintenance and management, and create better business processes.
The Data Storage Problem
Today, more data is generated by video sur- veillance cameras than ever before. In 2015, the average amount of data generated daily by new video surveillance cameras installed worldwide was 951 petabytes, according to IHS. That number is expected to exceed 2 exabytes daily by 2018.
The transition to digital is a big contribu- tor. To improve their video surveillance ca- pabilities, industries are doing two things: installing more cameras and moving away from analog to take advantage of more advanced digital camera features. In fact, high-definition digital cameras are now the preferred choice for new installations. And digital cameras generate more data than their analog counterparts.
Cameras using motion activation can help reduce the amount of data recorded. However, that isn’t much help for transporta- tion organizations. Transportation use cases almost always involve some form of motion. High-motion environments typically result in cameras that are recording 24/7, which adds to the data storage challenge.
On top of that, data retention times are increasing to protect against litigation and enable analytics. As mentioned, transporta- tion agencies are integrating video with other systems and leveraging advanced analyt- ics capabilities to find new ways to increase efficiency, reduce congestion and improve
0317 | SECURITY TODAY
TRANSPORTATION SECURITY