Face Mask Detection

The Face Mask Detection module is designed to detect people not wearing medical face masks in the frame. When such persons are detected, the module highlights them in the frame with a square in real time and enters the event in the event log.

Details

For the module to work properly, it is necessary to correctly position and configure the camera, install the Eocortex Neural Networks package, and enable and configure the module.

Compatibility with other modules

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