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| Detector that uses neural network | Action of the neural network | |||||
|---|---|---|---|---|---|---|
| Face detector TV | Detection of faces and masks | |||||
| Face detector VIFace detector VA | ||||||
| Face detector VL | ||||||
| Masks detector VI | ||||||
| Masks Mask detector VL | ||||||
| Masks Mask detector VA | ||||||
| Masks Mask detector TV | ||||||
| License Plate Recognition plate recognition BRS | Detection 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 RR | Detection of vehicle attributes | |||||
| Object Trackertracker 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 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 Objects Detection object detector VI | Detection 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 | |||||
| NeurotrackerNeural tracker | Detection of the position of only the required objects in the frame | |||||
| NeurocounterNeural counter | Counts the number of objects | |||||
| Fire Detectiondetector | Detection of fire | |||||
| Smoke Detectiondetector | Detection of smokeObject Presence Detection | |||||
| Neural classifier | Detection of a specific object | |||||
Pose Detection Human pose detector and its sub-detectors:
| 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 detector (PPE) (see Functions of the Equipment detection (PPEdetector)) | |||||
| PPE detection 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 Detectionlevel detector | Increases the accuracy of water level detection in difficult conditions. For example, in scenes with clear water | |||||
| Audio Analytics Detection classification IV | Detection of different sounds: from a baby cry to the sound of a gunshot | |||||
| Crowd Estimation estimation VA | Counts crowds of people in a specified area | |||||
| Barcode Detectiondetector | Detection of a specific type of barcode | |||||
| Meta-detector | Analyzes text queries and images to identify a match between them |
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