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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
Detection
Detection
Detection VLLicense Plate Recognition
Plate Recognition
Plate Recognition
Plate Recognition RR—Search In Archive
Plate Recognition
(
)Vehicle Recognition
Tracker
Abandoned Objects Detection
Objects Detection
VINeurotracker
Neurocounter
in a specified area
Detection
in the frame
Detection
in the frameObject Presence Detection Neural network is trained to detect
in the framePose Detection
tools
Person Detection
Down Detection
detection
detection
detection
detection (PPE)
in the frame
the
detection
PPE) (
detection (PPE
)
PPE detection
zones
detection tool
Level Detection
Analytics Detection
Recognizes
.
Estimation
Detection
in the frame
| Detector that uses neural network | Action of the neural network |
|---|---|
| Face |
| detector TV | Detection of faces and masks |
| Face |
| detector VA |
| Face |
| detector VL | |
| Mask detector VL | |
| Mask detector VA | |
| Mask detector TV | |
| License plate recognition BRS | Detection of vehicle license plates |
| License |
| plate recognition IV |
| License |
| plate recognition RR |
| License |
| plate recognition RR—Search in archive |
| License |
| plate recognition RR—Parking |
| License plate recognition |
| VT |
| Vehicle recognition XR | |
| Vehicle recognition RR | Detection of vehicle attributes |
| Object |
| tracker with a neural network filter | Processes tracker results and filters out objects of no interest in a complex video image (foliage, glare, and so on) |
| Human tracker VL | Detection of people in the frame |
| Fight detector VL |
| Detection of fights in the frame | |
| Stopped object detector | Detection of stopped objects in the frame |
| Abandoned object detector VI | Detection of abandoned objects or objects that disappeared in the frame |
| Abandoned |
| 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 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 tracker | Detection of the position of only the required objects in the frame |
| Neural counter | Counts the number of objects |
| Fire |
| detector | Detection of fire |
| Smoke |
| detector | Detection of smoke |
| Neural classifier | Detection of a specific object |
Human pose detector and its sub- |
detectors: |
| Identifies each person's "skeleton" and detects poses that can represent a security threat | |||||
| Equipment |
| detector | Detection of necessary equipment and personal protective equipment |
. Segmenting and classification neural networks are used for the operation of |
the Equipment |
detector ( |
| Equipment detector VL | |
| Person-based privacy masking | Segmenting neural network breaks down the human body into |
areas |
| Privacy masking |
| Detection and masking of moving and stationary objects | |
| Water |
| level detector | Increases the accuracy of water level detection in difficult conditions. For example, in scenes with clear water |
| Audio |
| classification IV |
| Detection of different sounds: from a baby cry to the sound of a gunshot |
| Crowd |
| estimation VA | Counts crowds of people in a specified area |
| Barcode |
| detector | Detection of a specific type of barcode |
| Meta-detector | Analyzes text queries and images to identify a match between them |
Overview
Content Tools