Construction Media Assessment for Unbiased Loan Disbursement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current loan processing for properties, particularly home loans, is tedious, time-consuming, and prone to manual biases, leading to inaccurate valuations and increased risk of non-performing assets due to manual site inspections and lack of systematic evidence.
Innovation Solution
A system utilizing a trained model that analyzes media items like images and videos from construction sites at predefined intervals, comparing them with input data to generate reports on construction progress and quality, thereby providing accurate assessments for loan disbursements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual site inspections are used for loan processing, then flexibility in evaluation is maintained, but the process becomes tedious, time-consuming, and prone to bias
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated computer vision system. The trained model automatically analyzes images and videos of construction sites, eliminating the need for manual site visits while maintaining evaluation accuracy. This substitution resolves the contradiction by removing time consumption and human bias while preserving systematic evaluation capability.
Solution Approach 2:
The system enables self-service through automated analysis where the trained model independently processes construction site media items without human intervention. The model automatically compares captured media with input data, generates progress reports, and provides assessments, allowing the system to serve itself rather than requiring manual inspection processes.
2Adaptability or versatility
If manual property evaluation is conducted, then local context can be assessed, but systematic evidence and analysis remain unregulated and biased
Solution Approach 1:
The patent implements feedback mechanisms where the trained model continuously compares captured media items against input data and generates standardized reports. This feedback loop ensures consistent, regulated analysis while maintaining adaptability to local contexts through the model's ability to process diverse media types and compare them against predefined criteria, thereby resolving the reliability issue.
Solution Approach 2:
The system substitutes manual evaluation with automated computer vision technology that maintains local context assessment capability while providing systematic, bias-free analysis. The trained model processes local media items through standardized algorithms, ensuring both contextual understanding and systematic evidence generation without human bias.
3Productivity
If automated media analysis is implemented, then time consumption is reduced and bias is eliminated, but the system complexity increases
Solution Approach 1:
The patent applies multi-functionality by using a single trained model to perform multiple tasks: analyzing construction progress, evaluating quality, comparing with input data, and generating comprehensive reports. This universal approach handles diverse media items (images, videos) and multiple evaluation criteria through one system, reducing overall complexity despite the automated nature of the process.
Solution Approach 2:
The system uses copies of media items (images and videos) as input data for analysis rather than requiring direct access to physical construction sites. The trained model processes these copies to generate assessments, simplifying the system architecture by working with digital representations rather than complex real-time monitoring infrastructure.
4Measurement precision
If media items are captured at predefined time intervals, then construction progress can be tracked systematically, but the process becomes more time-consuming
Solution Approach 1:
The patent implements continuous automated monitoring at predefined time intervals where the trained model processes media items as they are captured. This continuous action ensures systematic progress tracking without requiring manual intervention between intervals, maintaining measurement precision while minimizing time loss through automated processing that occurs concurrently with data collection.
Data Source
AI summary
A system and method for providing content-based assessments are disclosed. The method includes receiving a request from a user device to initiate a process for at least one property. Further, the method includes obtaining a plurality of media items captured from a construction site of the at least one property at predefined time intervals. Further, the method includes loading the media items into a trained model for performing an analysis, the analysis includes comparing the media items with a set of input data corresponding to a virtual representation of the property. Further, the method includes generating a first report and a second report related to a construction progress and a construction quality, and a third report based on the first report and the second report. Thereafter, the method includes transmitting a recommendation based on the third report, to a device to process the request.