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The following tools can be used to analyze video images on the Server and create metadata:

Heat map detectionDetection of moving against crowd flowQueue length detectionSmoke detectionDetection of light indication controlVideoIntellect detection of crowdFire detectionStopped vehicle detectionPeople counter detectionTrain detectionTraffic light detectionCrowd detection (TVN)Fluid level detectionSweethearting at checkout detection
Detection toolInformation contained in metadata from a detection tool
VideoIntellect embedded detector
Barcode detection

About the contents of all barcodes in the frame

Equipment detection (PPE)About the position of all the people in the frame
NeurocounterTrack counter
NeurotrackerAbout all moving objects in the frame: type, their position in the frame, size, direction of movement, speed, color, and so on
Person location tracker

About the position and pose (skeleton) of all people in the frame

Pose detection
Shooter detection
Handrail grip detection

Metadata is stored as tracks of objects in the local VMDA Server directory on the disk that was selected when creating the VMDA metadata repository (see Creating and configuring VMDA metadata storage), in the vmda.schema file.