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Hardware requirements for neural analytics operation

Neural analytics is a detection tool detector (see General information about detection tools detectors and their sub-toolsdetectors), the algorithms of which use neural networks.

Neural network is a mathematical model, as well as its software or hardware content, built on the principle of organization and functioning of biological neural networks (networks of neurons of a living organism). Within the context of the described software environment, neural networks are file models that have the .ann extension that you can use in the detection tools detectors operation.

The table lists the detection tools detectors that use neural networks in their operation:

Detection tool
Detector that uses neural networkAction of the neural network
Face
Detection
detector TVDetection of faces and masks
Face
Detection
detector VA
Face
Detection
detector VL
Mask detector VL
License Plate Recognition
Mask detector VA
Mask detector TV
License plate recognition BRSDetection of vehicle license plates
License
Plate Recognition
plate recognition IV
License
Plate Recognition
plate recognition RR
License
Plate Recognition RR—Search In Archive
plate recognition RR—Search in archive
License
Plate Recognition
plate recognition RR—Parking
License
Plate Recognition
plate recognition VT
Vehicle
Recognition
recognition XR
Vehicle Recognition
Vehicle recognition RRDetection of vehicle attributes
Object
Tracker
tracker with a neural network filterProcesses tracker results and filters out objects of no interest in a complex video image (foliage, glare, and so on)
Object Tracker
Human tracker VLDetection of people in the frame
Fight detector VL
Detection of fights in the frame
Stopped object detectorDetection of stopped objects in the frame
Abandoned
Objects Detection
object detector VIDetection of abandoned objects or objects that disappeared in the frame
Abandoned
Objects Detection
object detector VI (Street)
Line crossing VI
Neurotracker

Detection of object movement in the prohibited direction
Movement in prohibited direction VI
Motion in area detector VI
Detection of object movement in a given area
Detector of atypical changes in the scene VI
Detection of changes not typical for the scene, such as overexposure, darkening, or defocusing
Neural trackerDetection of the position of only the required objects in the frame
Neurocounter
Neural counterCounts the number of objects
in a specified area
Fire
Detection
detectorDetection of fire
in the frame
Smoke
Detection
detectorDetection of smoke
in the frameObject Presence DetectionNeural network is trained to detect
Neural classifierDetection of a specific object
in the framePose Detection

Human pose detector and its sub-

tools

detectors:

Person Detection
Down Detection
detection
detection
detection
Identifies each person's "skeleton" and detects poses that can represent a security threat
Equipment
detection (PPE)
detector

Detection of necessary equipment and personal protective equipment

in the frame

. Segmenting and classification neural networks are used for the operation of

the

the Equipment

detection

detector (

PPE) (

see Functions of the Equipment

detection (PPE

detector)

)

PPE detection
Equipment detector VL
Person-
Based Privacy Masking
based privacy masking

Segmenting neural network breaks down the human body into

zones

areas

Privacy
Masking
maskingDetection and masking of moving and stationary objects
Water
Level Detection
level detectorIncreases the accuracy of water level detection in difficult conditions. For example, in scenes with clear water
Audio
Analytics Detection
classification IV
Recognizes
Detection of different sounds: from a baby cry to the sound of a gunshot
.
Crowd
Estimation
estimation VACounts crowds of people in a specified area
Barcode
Detection
detectorDetection of a specific type of barcode
in the frame
Meta-detector
Analyzes text queries and images to identify a match between them