Fall Detection

The Fall Detection module is designed to detect fall of people.

Note

The module does not detect the falling process. It detects a laying down person as a fallen person.

It is possible to enable the frame highlighting of the fall scene, both in live view and archive playback.

When falls are detected, Fall detected events are generated and recorded in the Event log.

Note

The module operates on a neural network using a video card (GPU).

It is recommended to install the Eocortex Neural Networks Special package.

Compatibility with other modules

OS		Requires Eocortex motion detector	Neural Networks		Compatible with modules	Incompatible with modules
			Standard	Special
√	√	√	√	√	Auto zoom Loud Sound Detection Fire and Smoke Detection Face Mask Detection Sabotage Detection Crowd Monitoring Personnel Activity Monitoring Shelf Fullness Check Uniform Detection Face Detection Abandoned Objects Detection Emergency Vehicle Detection Counting People in Queue People Counting Unique Visitor Counting Search for Objects FishEye Dewarping Frame Area Blurring License Plate Recognition (Complete) License Plate Recognition (Light) Face Recognition (Complete) Face Recognition (Light) Traffic Density Heat Map Tracking	Object Classification and Counting

√	supported and required for the module to work
+	supported and provides additional features of the module
–	not supported or not required for the module to work
⚠	not recommended for use with the current module

Use

Use of the module in the Eocortex Client application.

• Configuring th Fall Detection module
• Requirements and recommendations for the Fall Detection module
• Deployment of the Fall Detection module