Case Study

Streamlining Property Appraisals with AI Computer Vision

Problem

The real estate appraisal process is crucial in property transactions, providing lenders and buyers with a clear understanding of a property's value and condition. A leading appraisal management company was looking to modernize this process by adopting AI and Computer Vision, effectively shortening appraisal processing time and optimizing resource allocation for improved scalability.

Challenge

Scaling operations while upholding the quality of appraisals proved to be a considerable hurdle. The manual validation of images submitted in property appraisals was not only time-consuming but also susceptible to human error. The company required an efficient system to confirm that appraisal photos were accurately categorized by room type and void of prohibited content.

The first iteration of the tool, utilizing a standard object detection model called YOLOv8, was unable to accurately identify certain rooms, especially garages and laundry rooms, while also misclassifying household appliances. This demanded the development of a more customized solution designed for the specific needs of the property appraisal company.

Outcome

Increased accuracy in image detection

Accelerated approval time

Automated image analysis and validation

Reduced manual review

Increased scalability

AI Computer Vision

Solution

10Pearls developed a multi-layered object detection system by integrating a custom object detection model referred to as custom YOLO, specifically trained to identify and classify objects unique to property appraisals. By utilizing YOLOv8 for the preliminary stage of object detection and the custom YOLO to capture any remaining nuances, the combination of these two models enhanced the overall performance and effectiveness of the object detection system. This ensemble method provided a sophisticated means to analyze the variety and frequency of objects within a space.

By leveraging Random Forest, a machine learning algorithm designed for classification and regression tasks, the Computer Vision system could determine the room's function with greater precision and reliability. The solution maximized efficiency, drove scalability, and enhanced the customer experience during property transactions.

A New Standard for property appraisals
A New Standard for property appraisals

Our automated AI property appraisal solution highlights the transformative impact AI in real estate, demonstrating its capacity to address complex, industry-specific challenges. By developing a customized, automated object detection system, we are not just improving the appraisal process; we are setting a new benchmark for efficiency, accuracy, and reliability in property valuations.

This innovation signifies a substantial leap forward, offering unparalleled precision and speed, and redefining how real estate appraisals are conducted. As a result, our application, leveraging computer vision, is positioned to transform industry practices, driving more informed decision-making and fostering greater trust and transparency in property assessments.

Computer Vision

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