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The Axxon Next VMS offers AI analytics based on neural networks. These AI tools include:
- Face detection tools(see Face detection tools).
Neural network detects faces. - Automatic Number Plate Recognition (LPR/ANPR) tools (see Automatic Number Plate Recognition (LPR/ANPR) tools).
Neural network recognizes vehicle license plates. - Neural Network Filter for Object Tracker (see Setting General Parametersgeneral parameters of Tracker-based Scene Analytics detection tools).
The neural network filter processes the results of the tracker and filters out false alarms on complex video images (foliage, glare, etc.). - Neural Tracker (see Setting up Neural Tracker-based Scene Analytics detection tools).
Neural Tracker detects only objects of a specified class. The The Neural Tracker is more accurate than the regular one, and detects even static objects, but it requires more computing resources. - Neural Counter (see Configuring a Neuralcounter Neural Counter).
The Neural Counter relies on a neural network to work out the number of objects in the zone. - Smoke and Fire Detection Tools based on Neural Network (see Configuring Fire and Smoke and Fire Detection Tools).
A neural Neural network detects fire and smoke in FoVin FOV. Object detection.
Neural network is trained on a particular object that will be detected in the frame.- Posture Detection based on Neural Network (see Configure Pose Detectiondetection tools).
AI-powered Posture Detection captures specific human Neural network identifies each person's "skeleton" and detects poses that may represent a security threat. - Equipment detection tool (PPE) based on Neural Network Network (see Configuring Personal protective equipment detection tool (PPEtools)).
For detection tool operation, you need a combination of two networks: segmenting and classifyingNeural network detects the necessary equipment and PPE in the frame. Segmenting and classifying neural networks are used to operate the Equipment detection tool (PPE). - |A segmenting
Water Level Detection (see Water Level Detection).
The detection tool may use the neural network to detect water transparency and level.
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