AI Cost Estimate System Using Computer Vision
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Solution Overview
Problem
Conventional systems for providing cost estimates for services are often inaccurate or expensive, requiring synchronous interactions that are inconvenient for consumers.
Innovation Solution
An AI-based system that uses machine-readable instructions and hardware processors to receive data from cameras, computer vision devices, and inertial measurement units to generate itemized statements and quotes asynchronously, leveraging machine learning models for accurate and consistent cost estimates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional phone calls or web forms are used for cost estimates, then the system is simple to operate, but the accuracy of estimates deteriorates
Solution Approach 1:
The patent replaces manual estimation processes (phone calls, web forms, in-person visits) with an automated AI-based system that uses computer vision, machine learning, and image processing to generate cost estimates. This substitution maintains ease of operation through automated processing while dramatically improving estimate accuracy through sophisticated analysis of location images and data.
2Measurement precision
If in-person estimates are used, then the accuracy of estimates improves, but the cost and time required deteriorates
Solution Approach 1:
The system enables self-service estimation where the AI automatically analyzes location images, identifies key elements, and generates cost estimates without requiring human estimator intervention. This eliminates the time-consuming in-person visits while maintaining accuracy through automated computer vision and machine learning algorithms that process location data independently.
Solution Approach 2:
The system performs preliminary analysis of location images and data before generating estimates, pre-processing visual information to identify key elements and characteristics. This preliminary action enables rapid estimate generation without requiring subsequent in-person visits, significantly reducing time consumption while maintaining accuracy.
3Measurement precision
If synchronous estimator interactions are used, then the accuracy of estimates improves, but the convenience for consumers deteriorates
Solution Approach 1:
The patent replaces synchronous human interactions with an automated AI system that processes location images and generates estimates asynchronously. This substitution eliminates the need for consumers to coordinate schedules with estimators, dramatically improving convenience while maintaining accuracy through sophisticated automated analysis of location data.
Solution Approach 2:
The system performs all necessary analysis and generates estimates in advance, before the consumer needs them. By pre-processing location images and generating cost estimates asynchronously, the system eliminates the need for synchronous interactions, allowing consumers to receive estimates immediately without scheduling appointments or waiting for estimator availability.
Data Source
AI summary
Systems and methods for providing AI-based relocation cost estimates for services and products are disclosed. The method may comprise receiving description data of a location, the description data generated via at least one or more of a camera, a user interface, and/or one or more environment sensors. The method may generate an inventory list comprising a plurality of items, utilizing the machine learning model, based on the description data, the inventory list further comprising inventory attributes associated with the plurality of items related to a context of the plurality of items in the location. The method may generate, utilizing the machine learning models, one or more interactive quotes for relocation cost estimates comprising at least one or more offers for products and/or services based on the plurality of items in the inventory list and the inventory attributes.