Vision AI Agent for Visual Defect Detection

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.

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.