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: Currently supported on amd64 devices.
The following parameters are used in the fall detection node.
Name: Input the node name used in a specific flow.
- default: fall detection
- type: string
The fall detection node identifies and classifies two classes (normal vs. fall).
The Neural Network (with 5 layers) was trained using public datasets.
Overview Object Detection Node
The Object Detection Node is used to detect several different objects off the shelf with pre-trained or custom deep learning models on GPU, CPU, VPU (Intel Movidius Myriad X) or TPU (Google Coral). Input and Output Input: Frame from a video file, IP ...
Overview Group Keypoint Detection Node
The Group Keypoint Detection Node is used to detect the keypoints such as human pose and facial landmarks with pre-trained or custom deep learning models on GPU, CPU, TPU (Google Coral) or VPU (Intel Movidius Myriad X). Input and Output Input: Frame ...
Overview Reboot Node
The Reboot Node is used to automatically reboot an edge device in a certain time interval. Input and Output Input: No input needed (mode: time), or any previous node (mode: message) Output: none Supported architecture: Currently supported on amd64 ...
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 ...
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 ...