What is Deep Learning Video Analytics?
Video analytics software was created to provide artificial intelligence to video surveillance systems. End users can
now use IP video management software to send alerts of events as they are occurring. Analytic Recording in also beneficial in reviewing the many hours of surveillance video that a security guard or management team may never have time to watch – your video surveillance system is only as useful as the incidents you can actually capture and watch, and video analytics will help you find them and provide warning for intervention as they occur..
Using video analytics makes your video surveillance system more efficient, increases effectiveness of your security plan, reduces the time required to follow and event as it progressed, and helps you capture the full value of security video by making your IP camera system more intelligent in its work.
How Deep Learning Video Analytics Software Works.
Video analytics software for security cameras is available in several forms: installed on your camera (analytic cameras), on your NVR, or as IP video management software you buy. Each version will monitor your videos to search for and alert you to activity. Some more advanced IP video management systems allow user input to customize the video analytics to your property or facility needs.
Each video analytics solution will work a bit differently depending on the manufacturer and application. They all work in the same basic way, however – when setting up the software you set up parameters to the activity the software is looking for, set up the alert notification system, and when the software detects something that meets its search criteria it alerts you. Deep Learning Video Analytics will learn the scene of each individual camera and report abnormal activities.
For example, many businesses use surveillance systems to detect motion in their store after hours. You can set your system to motion detection during the hours your business is closed, so if it detects motion it will send you an email – a quick response that may help you react quickly to a break-in or accident.
How Deep Learning Video Analytics Can Help You
The old idea of a video surveillance system is a security guard sitting in a booth watching the security camera feed live, hoping to catch suspicious activity. This model relies on having a live person watching and reviewing all your video, however, which is not practical or efficient. Different security guards may have differing levels of focus or different ideas of suspicious activity.
IP Video management software changes this system by using software to monitor your video feed around the clock, proactively alerting you to activity so you only need to watch the cameras when an event is in the process. Alerts can be sent via email text message with video clips or trigger audio visual alarms, These features reduce the demand for manpower and reduce the chances of missing events in the process. Proactive intervention reduces loss and improves security.
Deep Learning Video analytics can be used for:
Motion detection, Facial recognition & license plate reading People counting & dwell time monitoring for retail stores, crowd gathering, perimeter detection, Recognizing long lines at checkout and sending alerts. exit gate automation and tailgating solutions, the custom applications are limitless – Contact our security systems integrators and video surveillance experts for a demonstration and customization to fit your needs!
Video analytics software comes with a wide range of features, making them easy to fit into any surveillance system. Choose from software that supports every property and facility security plan, from the smallest video appliance based video analytics solutions to Enterprise-Grade Video Servers systems for large multi-campus locations. A variety of leading manufacturers offer video analytics software, including Avigilon, Genetec, Milestone, 3VR
Learn more with www.nesecurity1.com
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