Methods for improved delta velocity determination using machine learning and devices thereof

An insurance claim analysis device, comprising memory comprising programmed instructions stored thereon and one or more processors configured to execute the stored programmed instructions to:

• obtain one or more images of a damaged motor vehicle and contextual data associated with an electronic insurance claim and a motor vehicle accident involving the damaged motor vehicle;
• compare the obtained images and one or more portions of the contextual data to historical sets of images of damaged motor vehicles and corresponding additional contextual data and actual delta velocity values;
• calculate a delta velocity value based on the comparison;
• and
• provide the calculated delta velocity value to verify damage severity during automated processing of the electronic insurance claim.

A non-transitory machine readable medium having stored thereon instructions for improved, automated delta velocity determination comprising executable code that, when executed by one or more processors, causes the processors to:

• obtain one or more images of a damaged motor vehicle and contextual data associated with an electronic insurance claim and a motor vehicle accident involving the damaged motor vehicle;
• compare the obtained images and one or more portions of the contextual data to historical sets of images of damaged motor vehicles and corresponding additional contextual data and actual delta velocity values;
• calculate a delta velocity value based on the comparison;
• and
• provide the calculated delta velocity value to verify damage severity during automated processing of the electronic insurance claim.