Automated Workflow Management System with AI Image Recognition
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Solution Overview
Problem
Current workflow management systems are inefficient in managing multiple projects with separate workflows, particularly in contact centers, as they require significant human effort and struggle with monitoring changes in hard-to-reach locations, leading to increased response times and reduced productivity.
Innovation Solution
An automated workflow management system utilizing artificial intelligence and autonomous devices like drones to perform tasks such as data collection and analysis, allowing for partial or full automation of workflow items, enabling users to focus on human-interaction tasks while reducing distractions and improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional workflow management systems are used to manage multiple projects, then human effort and time are required to monitor and update workflow items, but productivity decreases and response time increases due to the large volume of manual work required
Solution Approach 1:
The system enables automated self-monitoring of workflow items through AI-powered image recognition technology. The workflow management system automatically captures images, analyzes changes, and updates workflow status without requiring manual human intervention, allowing the system to serve itself in monitoring and reporting tasks
Solution Approach 2:
The patent replaces manual mechanical monitoring processes with automated electronic systems. AI algorithms and image recognition software substitute for human workers physically inspecting and updating workflow items, transforming manual labor into automated digital processing that significantly improves productivity and reduces response time
2Reliability
If manual monitoring of remote locations is performed, then changes in hard-to-reach places can be detected, but the process becomes difficult and time-consuming requiring significant human resources
Solution Approach 1:
The system replaces manual physical inspection of remote locations with automated electronic monitoring. AI-powered image recognition software automatically analyzes images captured from remote sites, eliminating the need for human workers to physically travel to and inspect hard-to-reach locations, thereby maintaining reliable detection while dramatically reducing time consumption
Solution Approach 2:
The patent introduces an intermediary AI system that acts as a mediator between remote locations and human operators. The AI algorithm processes and analyzes images from remote sites, providing processed information to users without requiring them to directly visit or manually inspect the remote locations themselves
3Ease of operation
If users manually manage and update workflow items, then workflow completion can be achieved, but user efficiency decreases due to distractions from tasks that could be automated
Solution Approach 1:
The workflow management system performs self-updating through automated image analysis. The AI system automatically detects changes in images, determines workflow status changes, and updates workflow items without requiring user action, enabling the system to manage itself and freeing users from repetitive manual update tasks
Solution Approach 2:
The patent extracts automated monitoring and update functions from the user's task portfolio. By separating the automated image analysis and workflow update processes from manual user operations, the system removes distracting repetitive tasks from users' workflows, allowing them to focus on higher-value activities while maintaining or improving overall workflow completion speed
Data Source
AI summary
Systems and methods for surveilling. Systems and methods include generating, with a processor, a baseline associated with a subject; performing, with the processor, a scan of the subject; comparing, with the processor, the scan of the subject with the baseline; and generating, with the processor, a report comprising a result of the comparing of the scan of the subject with the baseline associated with the subject.