Sariva


Sariva 

The primary feature of Sariva is the detection of visual novelties using the video stream from the smartphone’s optical camera. The application automatically separates the interesting/novel objects from the background. This includes moving objects (such as people, cars, bikes, lorries, cats, dogs, etc.) which can then be identified and classified.

Features:
The main features of Sariva are:
• Novelty detection using a static or moving camera
• The transmission of detected novelties to a server application in real-time
• Tracking detected novelties from image to image
• Innovative, proprietaryregistered IP
Sariva employs cutting edge proprietary IP implemented in a form of smart algorithms. These were developed within the Intelligent Systems Research Lab, Data Science Group at InfoLab21.
Techniques:

The key methodology include:
• Recursive Density Estimation (RDE). A computationally fast and efficient pixel-wise method of detecting visual novelties, patented.
• Recursive Total Sum Distances Density Estimation (RTSDE) – integers only and no division – even faster and more robust algorithm developed specifically for video analytics
• Optical ORB method – very fast method for moving camera
• ELM (Evolving Local Means) Clustering – for identifying objects
***DISCLAIMER***
The app is provided “as it is”. EntelSenSys does not take responsibility for any misuse from the users and the manner the app is used.

 

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Free version
Paid version