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Omnia VCA

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As video security is continuously evolving, Arteco presents OMNIA VCA 1.5: the video analysis suite that brings the Extreme VMS license to the most advanced level of intelligence. It automatically pulls meaningful and relevant information from video streams to detect people, objects and their surroundings, while continuously analyzing them, their movements and behavior.

Based on pattern analysis and machine intelligence, OMNIA VCA algorithms can improve the efficiency of security systems, reduce costs of management and decrease risk margins with the prospect of further developments on the horizon

The Omnia VCA 1.5 suite is a stand-alone application that must be installed on a dedicated workstation with Windows based OS, or on a Virtual Machine running in a Windows environment.

HOW IT WORKS

OMNIA VCA, in the OMNIA interface framework, processes video, identifies objects in the video footage (people, vehicles, and other items), and indexes them so that footage can be easily and quickly browsed and analyzed for different purposes:

1) to conduct post-event investigation and forensics searches
2) to enhance security situational awareness in real-time.

DEEP LEARNING

OMINA VCA technology is rooted in the Deep Learning machines learning model in which neural networks are being trained to extract patterns from massive amounts of data. As a result, the video analytics software is able to process video streams and contemporarily detect and classify every object that appears on screen.

Omnia VCA is equipped with two Deep Learning engines, one that performs the object detection (DL Object tracker) while the other performs exclusively the people detection function (DL People tracker).

The DL Object Tracker allows the automatic classification of the following objects in the scene:

•People

•Cyclist

•Car

•Bus

•Van

•Motorcycle

•Bicycle

•Bag

•Truck

The DL People Tracker allows the automatic classification of people present in the scene, therefore it is particularly suitable in the following cases:
•Presence detection
•People Counting

ANALYTICS

TAMPER

Tampering detection, lack of video signal

OBJECT CLASSIFIER

Reliable 3D calibration and object tracking engine with customizable object classes

RULES AND ALGORITHMS

Presence, Enter, Exit, Appear, Disappear, Stop, Dwell, Direction, Count, Abandoned object, Color filter, Speed filter, Tailgating, AND/OR/NOT logical rules

OBJECT DEEP LEARNING

Automatic detection and classification of 8 object classes.

PEOPLE TRACKER DEEP LEARNING

Automatic detection and classification of people and faces

MINIMUM SYSTEM AND CAMERA REQUIREMENTS

OS

Windows 10 Pro or Windows Server 2019

CPU

Intel i3 generation 8 or latest, or Intel Xeon E series

VIRTUAL MACHINE SUPPORT

VmWare, Docker

RAM

8GB or higher

GPU

Intel, NVIDIA Cuda series

NETWORK

Ethernet, 1 Gigabit

HDD SPACE

1TB HDD

ARTECO VMS VERSION

10.0 or higher

ENCODER VIDEO STREAM

H.264

RESOLUTION

320*240

FRAMERATE

10 fps

RECOMMENDED SYSTEM AND CAMERA REQUIREMNTS

OS

Windows 10 Pro or Windows Server 2019

CPU

Intel i7 or i9 generation 8 or latest, or Intel Xeon W series or higher

VIRTUAL MACHINE SUPPORT

VmWare, Docker

RAM

16 GB or higher

GPU

NVIDIA Cuda series

NETWORK

Ethernet, 1 Gigabit

HDD SPACE

1TB HDD

ARTECO VMS VERSION

10.0 or higher

ENCODER VIDEO STREAM

H.264

RESOLUTION

480P [Max 720p]

FRAMERATE

15 fps