Mask Detection
This function block is designed to analyze images and detect whether individuals are wearing masks properly. It utilizes a weight-based detection algorithm to effectively categorize the usage of masks within the input image.
π₯ Inputs
Image RGB
An RGB image that contains persons for mask detection.
π€ Outputs
Image RGB
The output will be a processed image displaying detection results.
Masked
The count of correctly worn masks.
Uncorrect Masked
The count of incorrectly worn masks.
No Mask
The count of individuals not wearing masks.
πΉοΈ Controls
Confidence Threshold %
A slider to adjust the required confidence level for mask detection. Values can be set between 40% to 90%.
π¨ Features
Real-time Mask Detection
The function block can efficiently analyze images in real-time and provide feedback on mask usage.
Visual Output
The output image displays detection results, helping users quickly understand mask compliance.
π Usage Instructions
Input Image: Connect an RGB image that contains people who may or may not be wearing masks to the
Image RGB
input.Adjust Confidence Level: Use the
Confidence Threshold %
slider to set how strict the detection should be.Run Analysis: Execute the block to analyze the input image and receive an output with detection results.
π Evaluation
The function block will analyze the input image, running the mask detection algorithm and returning the updated image along with counts of different mask conditions.
π‘ Tips and Tricks
π οΈ Troubleshooting
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