Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.
Tip

Hardware requirements for neural analytics operation

Neural analytics is a detection tool detector (see General information about detectors and their sub-detectors), 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 detector VIVA
Face detector VL
Mask detector Detection VAFace Detection VL
Masks Mask detector VIMasks DetectionVA
Mask detector TV
License Plate Recognition 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 Archiveplate 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
Traffic analyzer RRDetection of traffic accidents
Object Tracker Object 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
Detection of object movement in the prohibited direction
Movement in prohibited direction VI
Motion in area detector VI
Detection of objects 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 trackerNeurotrackerDetection of the position of only the required objects in the frame
NeurocounterNeural counterCounts the number of objects
Fire DetectiondetectorDetection of fire
Smoke DetectiondetectorDetection of smokeObject Presence Detection
Neural classifierDetection of a specific object
Pose 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. Segmenting and classification neural networks are used for the operation of the Equipment detection (PPE)detector (see Functions of the Equipment detection (PPE)detector)

PPE detection Equipment detector VL
Person-based privacy masking

Segmenting neural network breaks down the human body into areas

Privacy maskingDetection and masking of moving and stationary objects
Water Level Detectionlevel detectorIncreases the accuracy of water level detection in difficult conditions. For example, in scenes with clear water
Audio Analytics Detection classification IVDetection 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 DetectiondetectorDetection of a specific type of barcode
Meta-detector
Analyzes text queries and images to identify a match between them