Integration and Analytics Video Analytics Introduction The functions

Integration and Analytics Video Analytics

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

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

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

Why do we need Video Analytics ? • Personnel only can watch one monitor 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.

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

Architecture Comparison Architecture II Architecture I Camera with build-in Analytics IP Camera • A Camera w/o build-in analytics • Separate video analytics server IP Camera IVS System Architecture Analytics Accuracy Video Quality Adaptability Future Enhancement I Low Low II High 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. Reason Camera’s computing power is divided to video processing and video analytics. Low processing power of Architecture I.

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). IP Camera IVS Intelligent Video Server IP Camera NVR Server Video Stream

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

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

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 Counting Object Direction License Plate Recognition

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

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

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.

Benefit of Video Analytics Video Analytic Information • Less required manpower • Higher level of security management • Business Intelligence Action

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