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Video Analytics Integration and Analytics. Introduction The functions of video analytics. The architecture of video analytics. The applications of video.

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Presentation on theme: "Video Analytics Integration and Analytics. Introduction The functions of video analytics. The architecture of video analytics. The applications of video."— Presentation transcript:

1 Video Analytics Integration and Analytics

2 Introduction The functions of video analytics. The architecture of video analytics. The applications of video analytics.

3 Agenda What can Video Analytics do? Why do we need Video Analytics ? Key factors of Accurate Video Analytics Solution. Architecture Comparison. High performance deployment Functions and applications. Benefit of Video Analytics

4 What can Video Analytics do? People Counting Loitering Forbidden Area Detect Scene Detection Object Direction Object Counting Unattended Object Missing Object Object Color Fire Detect Wrong Way Face Detect

5 Why do we need Video Analytics ? Personnel only can watch one monitor for few minutes before losing focus. It is more difficult to has high attention span on many monitors. Personnel may not know what to look for. Let camera and IVS (Intelligent Video Server) do the detection, counting and analysis for you.

6 Clear Video Image Camera should be able to delivery clear video image. Video Analytics Video analytic algorithm should deliver accurate analytic result. IP Camera Key factors of Accurate Video Analytics Solution

7 Architecture I Camera with build-in Analytics IP Camera Architecture Comparison System Architecture Analytics Accuracy Video QualityAdaptabilityFuture Enhancement ILow IIHigh ReasonCamera’s computing power is divided to video processing and video analytics. Low processing power of Architecture I. IVS development could be adjusted to adapt the environment easily and fast without considering camera design. Low adaptability of Architecture I When video analytics enhanced, upgrade IVS without the influence of video quality. Less flexibility of architecture I. Architecture II A Camera w/o build-in analytics Separate video analytics server IVS IP Camera

8 High performance deployment The high performance deployment is by streaming clear video from IP camera or from an NVR Server to a IVS (Intelligent Video Server). NVR Server IVS Intelligent Video Server Video Stream IP Camera

9 People Counting Ex: Retail Store The system can count the number of visitors into your store. Make visitors statistics for business marketing.

10 Loitering Ex: Retail Store Understand customer’s in-store behavior. Analyze where customer stay and how long they stay.

11 Object Counting/Direction/ License Plate Recognition Ex: Traffic, Parking Lot Count the number of cars from different direction. The object counting also can make the statistics for traffic flow management. Recognize the license plate. Car CountingObject Direction License Plate Recognition

12 Unattended Object Ex: Airport If there has object is unattended in the area for some time, the system will notify to the manager. Detect remnants

13 Forbidden Area Detection Ex: School, Jails How can you be made aware of intrusions to a some areas? The system can set a forbidden area and if any objects or people appear in this area, the system will notify the manager or security officer. Forbidden Area

14 Scene Detection Ex: Bank The criminal might redirect or cover the camera for avoiding camera to record his behavior. The system can notify the manager if someone has redirected or covered the camera.

15 Benefit of Video Analytics Less required manpower Higher level of security management Business Intelligence VideoAnalyticActionInformation

16 Thank you


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