Automated Assessment Tool Using Computer Vision
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Solution Overview
Problem
Current data collection methods for assessors, such as insurance and tax assessors, rely on paper-based forms and fixed questionnaires, which are tedious, error-prone, and limit optimal data collection and retrospective analysis.
Innovation Solution
An automated assessment tool using computer vision to identify items and attributes in video streams, allowing for real-time or near real-time processing and analysis, reducing errors and enabling efficient data collection and reevaluation without recapturing video.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If paper-based forms and manual entry are used for data collection, then assessors can gather information about assets, but the process becomes tedious and error-prone
Solution Approach 1:
The patent replaces manual paper-based data collection and entry with an automated computer vision system that captures images, identifies items and attributes, and populates assessment forms automatically. This substitution of mechanical manual processes with automated optical recognition technology eliminates transcription errors and reduces the tedious nature of form filling while improving data accuracy.
Solution Approach 2:
The system enables self-service data collection where the computer vision technology automatically performs item identification, attribute extraction, and form population without requiring manual intervention for each data point. The automated assessment tool independently completes the data collection and form generation process.
2Ease of manufacture
If fixed questionnaires with predetermined answers are used, then data collection can be standardized, but the accuracy of reflecting actual situations is reduced
Solution Approach 1:
The system transitions from static predetermined answer options to dynamic image-based identification where the computer vision technology recognizes and identifies items based on their actual visual characteristics. This allows the assessment to adapt to the specific situation captured in the image rather than forcing predefined categories, improving accuracy while maintaining standardized processing through automated recognition algorithms.
Solution Approach 2:
The patent changes the fundamental parameter of data collection from text-based predetermined answers to image-based automatic recognition. By capturing visual information and using computer vision to extract attributes directly from images, the system obtains more accurate reflections of actual situations while the automated processing maintains standardization.
3Quantity of substance
If manual form completion and submission is used, then assessors can collect comprehensive asset information, but time consumption increases
Solution Approach 1:
The computer vision system continuously processes images as they are captured, automatically identifying items and populating forms in real-time or near real-time. This eliminates the discontinuous manual process of completing forms after data collection, maintaining continuous automated processing that reduces time loss while capturing comprehensive asset information.
Solution Approach 2:
The system performs preliminary automatic identification and form population based on captured images before final assessment completion is needed. By pre-processing the data extraction and form generation automatically, the system eliminates the time-consuming manual entry step while ensuring comprehensive information is captured.
4Adaptability or versatility
If video streams are recaptured for reevaluation, then retrospective analysis can be performed, but additional time and resources are consumed
Solution Approach 1:
The system creates a digital copy of the assessment data extracted from the video stream, storing item identifications and attributes for later retrieval and analysis. This allows retrospective analysis to be performed on the stored data copy without needing to recapture the original video, saving time and resources while maintaining adaptability for reevaluation.
Data Source
AI summary
A system for automated assessments is provided. The system includes a processing device and a memory device. The memory device stores instructions that when executed by the processing device may result in receiving a video stream including image frames from an imaging source. Image data from one or more of the image frames can be compared with an image profile database to determine whether at least one item in one or more of the image frames is identifiable. A lookup operation can be initiated in a secondary data source to determine one or more item attributes of the one or more identified items. The video stream can be modified to add an item identifier for each of the identified items to the video stream as an annotated video. A record can be stored of the one or more item attributes of the identified items in the annotated video.