AI May Soon Determine if Your Windshield Needs Repair or Replacement
When you think of the capabilities of artificial intelligence (AI), the first thing that comes to mind may not be your windshield. But, the future of windshield repair and replacement may be intertwined with artificial intelligence. In fact, artificial intelligence is already being used in the UK to assess the severity of vehicle glass damage to determine whether repair or replacement is needed.
Autoglass, a sister company of Satellite in the US, has begun trying to new technology, as GlassBytes reports, “The company has worked with Service Certainty imageproof, who produce high quality multi-purpose images, to develop and refine a dedicated web app which customers can use to simply upload a picture of the damaged area of glass on their vehicle. The image is then instantly evaluated using AI to determine whether a repair or replacement is needed before being passed onto a technician. The AI tool is already being used by its customers, processing up to 2,500 images a week with more than 80 percent accuracy, according to the company. Autoglass is also researching other opportunities to use AI such as assessing the need for Advanced Driver Assistance Systems calibrations after a windscreen repair or replacement.”
The possibilities for using artificial intelligence in the automobile world, both with personal vehicles and fleet vehicles, holds enormous potential. It will be interesting to see how artificial intelligence not only penetrates the automotive industry but also how it impacts the automotive insurance industry as well because it will impact how insurance claims are submitted, including claims for windshield repairs and replacements. Auto Body News explains just how artificial intelligence will be used to make a decision when it comes to windshield repair and replacement, “‘By utilizing millions of damaged vehicle photos, computers are ‘trained’ to recognize vehicle damage and use computer vision to double check repair versus replace decisions. This will help carriers achieve better estimate consistency, maintain estimate quality and be more selective about sending appraisers into the field, all while improving cycle times and productivity.’”
