AI Vision System for Sanitation Compliance Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Humans operating in environments with environmental hazards such as bacteria, fungi, and viruses often fail to comply with recommended safety practices due to lack of awareness, distraction, or ineffective methods, leading to potential contamination.
Innovation Solution
A system comprising a processor and memory that receives images to detect markers, determine object boundaries, and track movement, enabling the monitoring and tracking of sanitation and decontamination activities, including hand washing and surface cleanliness, using AI and computer vision to ensure compliance with safety protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual behavior compliance methods are used, then implementation simplicity is maintained, but protection reliability deteriorates due to human error and distraction
Solution Approach 1:
The patent replaces manual behavioral compliance (mechanical human action) with an automated computer vision system that uses image processing and AI algorithms to detect markers, determine boundaries, and track objects, thereby eliminating human error and distraction while maintaining system functionality
Solution Approach 2:
The system enables self-service by automatically monitoring and tracking sanitation activities without requiring human operators to manually verify compliance, allowing the system to autonomously detect markers, determine object boundaries, and track movements to ensure protection standards are met
2Measurement precision
If automated monitoring systems are implemented, then measurement precision is improved, but device complexity increases due to additional sensors and processing requirements
Solution Approach 1:
The patent uses image capture to create visual copies of the scene, allowing the system to analyze marker positions and object boundaries without physical interference. The computer vision system processes these optical copies to achieve precise boundary detection and tracking while avoiding the need for complex physical measurement devices
Solution Approach 2:
The patent introduces markers as intermediary elements that facilitate precise boundary detection and object tracking. These markers serve as mediators between the camera system and the objects being monitored, enabling accurate measurement without requiring complex direct sensing of the target objects themselves
3Reliability
If continuous monitoring is performed, then protection reliability is improved, but energy consumption increases due to constant image processing
Solution Approach 1:
The patent implements periodic monitoring by capturing images at specific intervals or upon detecting relevant events, rather than continuously processing visual data. This approach maintains protection reliability by regularly updating marker detection and object tracking while significantly reducing processor energy consumption compared to continuous monitoring
Data Source
AI summary
The disclosures are directed to methods and apparatuses that allow for one or more of personal sanitizing/decontamination of a user, prevention of the touching of exposed parts of the user's body, tracking of surface sanitizing/decontamination status, tracking of the interpersonal distance, and sanitization of personal electronics (e.g., a mobile phone). In addition, data relating to a user's usage of the various components of the system may be tracked, and artificial intelligence (AI) techniques may be employed to mine for patterns of user behavior in the system.