SYSTEMS AND METHODS FOR DETECTING BLIGHT AND CODE VIOLATIONS IN IMAGES

Patent №

US 12,536,632

Granted

2026-01-27

Filed 2021

Owner

The Board of Trustees of the University of Alabama

Lab

AI components

0

Assignment

None on record

Dataset

AIPD

Application

17383551

A system for blight and code violation detection is provided. The system includes a machine learning model that is trained using photographs of properties that are associated with blight and code violations and photographs that are not associated with blight and code violations. A fleet of vehicles, such as trash trucks, are equipped with cameras to take photographs of properties along their routes. The trained model may generate a score for each photograph that indicates whether or not a property is blighted or has code violations. Those properties with a score that exceeds a threshold may be provided to a reviewer who may verify the finding. If the finding is verified, the reviewer may issue a letter or citation to the owner of the property, and positive feedback may be provided to the model. If the finding is not verified, negative feedback may be provided to the model.

G06Q 50/26G06T 7/0002G06N 20/00G06V 20/58G06V 10/761G06V 10/40G06V 20/56G06F 18/2178+8 more

Ownership

The Board of Trustees of the University of Alabama

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