Documentation for Axxon One 1.0.
Previous page
Next page
The Axxon One 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 parameters).
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).
Neural Tracker detects only objects of a specified class. The Neural Tracker is more accurate than the regular one, and detects even static objects, but it requires more computing resources. - Neural Counter (see Neural Counter).
The Neural Counter relies on a neural network to work out the number of objects in the zone. Object detection.
Neural network is trained to recognize specific types of objects, it detects them in FOV.- Smoke and Fire Detection Tools based on Neural Network (see Fire and Smoke Detection Tools).
Neural network detects fire and smoke in FOV. - Posture Detection based on Neural Network (see Configure Pose Detection).
AI-powered Posture Detection captures specific human poses that may represent a security threat. - Equipment detection tool (PPE) based on Neural Network (see Equipment detection tool (PPE)).
For detection tool operation, you need a combination of two networks: segmenting and classifying. Water Level Detection (see Water Level Detection).
The detection tool may use the neural network to detect water transparency and level.
Overview
Content Tools