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VA-Cavalry

Low Computational Power Video Analytics Engine

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Smart Video Analytics

For Smarter & Safer Cities

This work was funded by The Scientific and Technological Research Council of Turkey (TUBITAK) within the 1507 - SME RDI (Research, Development & Innovation) Grant Programme with project ID 7140792
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VA-Engine

In order to bring to life many video analytics applications simultaneously we developed a layered video analytics engine. VA-Engine provides different motion and tracking modes. Each mode hosts a number of applications on it. The real computational cost comes from the lower layer shared image preprocessing routines such as edge detection, foreground background separation, motion estimation, etc. Apps cost nearly nothing, hence one can run many analytics at the same time without burden.

Apps & Demos

These apps are only a small subset of what we do and what we can do....
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Motion Adaptive Recording

Continuous, time set or motion adaptive recording

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People and Vehicle Counting

Counting people at places such as shopping center and stadium entrances & exits. Counting cars in parking lots and streets.

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Intrusion Detection

Cross-passing detections defined by rules by the operator, such as passing from region A to region B and even from there to region C and region D

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Loitering Detection

Determining people who spend much time in a region with suspicious behaviours

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Direction Estimation

Determining vehicles going in the wrong directions

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Stolen Object Detection

Protecting precious assets and items by putting them under 7/24 surveillance

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Abandoned Object Detection

Warning the security guard when a suspicious object is left behind

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Long Distance Fire Detection

Remote monitoring of forests

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Heat Map

Obtaining motion statistics of people and vehicles

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People-Vehicle Classification

Classifying objects by position based aspect measurements

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Parking Intrusion Detection

Determining vehicles parked in forbidden places

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Camera Sabotage Detection

Timely detection of vandalism towards surveillance cameras

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