Posture Recognition Node Overview
The Posture Recognition Node detects and tracks the movement of
people to identify a person's posture.
Input, Output and Supported Architecture
- Input: Group Keypoint Detection output message and stream or Video Feed output stream
- Output: MQTT message including the posture recognition results
- Supported architecture: Currently supported on amd64 devices
The following parameters are used in the posture recognition node.
Name: Input the node name used in a specific flow.
- default: posture recognition
- type: string
Threshold: Defines the confidence threshold to output one of the classes (default: 0.5).
The posture recognition node identifies and classifies three classes:
The Neural Network was trained by using public datasets.
Overview Fall Detection Node
The Fall Detection Node detects and tracks the movement of people to identify if a person is falling. Input and Output Input: Group Keypoint Detection output message and stream Output: Fall detection message and stream Supported architecture: ...
Overview Reboot Node
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Overview Object Flow Node
The Object Flow Node detects and tracks people from an input video stream to compose a heatmap and to calculate the average dwell time. Input and Output Input: Object Detection mqtt result message, ROI section definition, Object Counting result ...
Overview Object Counting Node
The Object Counting Node is used to count one or multiple objects which are previously detected by the object detection node. Input and Output Input: MQTT message (results from object detection node) Output: MQTT message containing IN / OUT results ...
Overview Object Tracking Node
The Object Tracking Node is used to track several objects which were previously detected by the object detection node across several frames. Input and Output Input: Output of object detection node. Output: MQTT message containing the tracking ...