Serving ~$1M in revenue in property maintenance through image segmentation
Aerial image segmentation for a property maintenance company
Image Segmentation and Analysis
~500
Orders per day
~$1M
Revenue
Case study by
Felvin AI Solutions
One of the first teams to launch an AI no-code tool builder.
The challenge
SiteRecon needed to generate accurate takeoffs autonomously.
The solution
A machine learning model was built with U-Net image segmentation to automatically segment turf / parking lots / sidewalks and other outdoor maintenance features from a property.
Impact
- Model in production serves ~500 orders/day.
- Serving ~$1M in revenue.
