Automated Mask Usage Detection via Video Analysis
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Solution Overview
Problem
Conventional video surveillance systems lack the capability for automatic detection of incorrect mask usage, necessitating manual processes that are time-consuming and inefficient for enforcing mask wearing policies.
Innovation Solution
A method and apparatus for detecting incorrect mask usage by monitoring video frames, detecting persons, determining mask policy violations, and generating alerts, utilizing a processor configured to execute computer-executable instructions for these tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual processes are used to enforce mask wearing policies, then detection capability is provided, but time consumption and labor requirements increase
Solution Approach 1:
The patent replaces manual mechanical inspection processes with an automated computer vision system that uses image processing algorithms to detect mask usage. The system automatically analyzes video frames or images to identify persons and determine whether they are wearing masks correctly, eliminating the need for manual time-consuming inspection while maintaining detection accuracy.
2Reliability
If manual monitoring is used to detect mask violations, then policy enforcement is achieved, but efficiency and productivity decrease
Solution Approach 1:
The system enables self-service detection where the computer vision algorithm automatically performs the entire detection process without human intervention. The system independently identifies persons in images, determines mask compliance status, and generates alerts for violations, allowing the enforcement process to serve itself without requiring manual labor while maintaining high accuracy and efficiency.
3Ease of operation
If conventional video surveillance systems are used, then basic monitoring is provided, but automatic mask usage detection capability is lacking
Solution Approach 1:
The patent transforms conventional video surveillance systems by changing the functional parameters of the system. It adds image processing and analysis capabilities that enable the system to automatically detect specific parameters such as mask presence and proper wearing status. This parameter enhancement converts a basic monitoring system into an intelligent automated detection system capable of enforcing mask policies.
Data Source
AI summary
Example aspects include a method, apparatus and computer-readable medium of enforcing a mask wearing policy, comprising monitoring video frames of one or more video feeds. The aspects further include detecting one or more persons in the video frames. Additionally, the aspects further include determining whether the one or more persons are in violation of a mask wearing policy. Additionally, the aspects further include generating an alert in response to determining that the one or more persons are in violation of the mask wearing policy.