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Documentation for Axxon One 2.0. Documentation for other versions of Axxon One is available too.
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Neural analytics is a detection tool (see General information about detection tools and their sub-tools), 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 operation.
The table lists the detection tools that use neural networks in their operation:
| Detection tool that uses neural network | Action of the neural network |
|---|---|
| Face Detection TV | Detection of faces |
| Face Detection VA | |
| Face Detection VL | |
| 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) |
| Object Tracker VL | Detection of people in the frame |
| Stopped object detector | Detection of stopped objects in the frame |
| Abandoned Objects Detection VI | Detection of abandoned objects or objects that disappeared in the frame |
| Abandoned Objects Detection (Street) VI | |
| Neurotracker | Detection of the position of only the required objects in the frame |
| Neurocounter | Counts the number of objects in a specified area |
| Fire Detection | Detection of fire in the frame |
| Smoke Detection | Detection of smoke in the frame |
| Object Presence Detection | Neural network is trained to detect a specific object in the frame |
Pose Detection and its sub-tools: | Identifies each person's "skeleton" and detects poses that can represent a security threat |
| Equipment detection (PPE) | Detection of necessary equipment and personal protective equipment in the frame. Segmenting and classification neural networks are used for the operation of the Equipment detection (PPE) (see Functions of the Equipment detection (PPE)) |
| PPE detection VL | |
| Person-Based Privacy Masking | Segmenting neural network breaks down the human body into zones |
| Privacy Masking | Detection and masking of moving and stationary objects |
| Water Level Detection | Increases the accuracy of water level detection in difficult conditions. For example, in scenes with clear water |
| Audio Analytics Detection IV | Recognizes different sounds: from a baby cry to the sound of a gunshot. |
| Crowd Estimation VA | Counts crowds of people in a specified area |
| Barcode Detection | Detection of a specific type of barcode in the frame |
Overview
Content Tools