AI Vision Agent for Visual Defect Detection

Client:
Davenport Realty
Industry :
Realestate

Client Overview
A growing business in the residential real estate space, handling hundreds of image-based listings submitted each month by agents and property managers. With rising volume, visual quality control became a bottleneck, prompting the need for an automated, intelligent solution that could scale across teams and workflows.

The Challenge
Manual image inspection was time-consuming, inconsistent, and prone to human oversight. Images were frequently submitted with issues such as:

  • Cracks in walls or ceilings
  • Water damage or mold
  • Broken or missing fittings
  • Dirty or cluttered environments
  • Blurry, dark, or low-resolution photos

These visual defects, if published, could hurt brand reputation, reduce engagement, and increase client complaints, especially in consumer-facing industries like real estate.

The Solution: Vision AI Agent for Defects
We deployed a fully automated Vision AI Agent, to analyze images and flag defects in real-time before they reached end users. The following picture demonstrate the high level design of the solution.

The backend

Real-World Use Cases

While the initial deployment was in real estate, the Vision AI Agent is suitable for any image-heavy workflow where quality control is critical. Common applications include:

  • Property management & rentals – Detecting poor listing images before they go live
  • E-commerce product listings – Ensuring image quality and brand consistency
  • Insurance claims – Automatically identifying damage in submitted photos
  • Manufacturing QA – Spotting visual defects in product images or on production lines
  • Facilities inspections – Detecting wear, damage, or cleanliness issues from photos

Contact us here.

Get in Touch
Share your goals, and let’s explore how AI can drive efficiency, innovation, and growth for your business.
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