AI Estimating
AI estimating uses artificial intelligence to analyze claim information, vehicle images, repair data, or historical patterns and assist with creating or reviewing a collision repair estimate.
- AI Estimating
- Computer Vision
- Insurance
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AI estimating uses artificial intelligence to analyze claim information, vehicle images, repair data, or historical patterns and assist with creating or reviewing a collision repair estimate.
Optical character recognition converts text visible in an image or scanned document into machine-readable characters that software can search or process.
Artificial intelligence is a broad category of computer technology designed to perform tasks that normally require human perception, reasoning, language understanding, prediction, or decision support.
Training data is the collection of examples used to teach a machine-learning model how to recognize patterns or produce desired outputs.
Automated damage appraisal is the use of software to assess vehicle damage and produce or support an initial evaluation of repair needs, severity, or cost.
Computer vision is a field of artificial intelligence that enables software to analyze and interpret photographs, video, and other visual information.
A confidence score is a number that represents how certain an AI system is about a particular prediction or classification. It is not a guarantee that the result is correct.
Damage detection is the use of image analysis or other sensors to locate and classify visible vehicle damage such as dents, scratches, cracks, and broken components.
Deep learning is a type of machine learning that uses neural networks with many processing layers to learn complex patterns from large amounts of data.
Explainable AI refers to methods that help people understand why an artificial intelligence system produced a particular result or recommendation.