Data Extraction in Insurance Photo-Inspections Using Computer Vision
March 1, 2022
The ever-advancing field of artificial intelligence is constantly finding new uses in many activities and businesses. Vehicle insurance and expertise companies involve activities such as automobile inspections in which many images are taken to record and verify not only possible damages but also identity, in the form of license plate and vehicle identification number, and usage, like travelled distance. Possible mistakes in acquiring these data can result in problems ranging from insurance fraud allegations to uninsured vehicles being involved in accidents. Experts performing routine activities such as manually typing data in the field are susceptible to these kinds of mistakes. Computer vision techniques, combined with machine learning models, can be used to produce systems that are able to extract this information from images directly. This can have the benefit of speeding up the task of data acquisition by skipping manual typing entirely or, at least, provide a layer of verification by notifying the expert when the data they introduced does not match the automatic reading, indicating there may have been a typing mistake or a problem with how the image was taken. Blurred, poorly illuminated images make for deficient expertise material.
