As the automotive market shifts away from personalized driving to smart mobility, manufacturers need to think about how they design vehicles.
 
The auto industry is one of the very few fields wherein startup disruptors and legacy corporations are all saved in radical change. Every aspect of the modern vehicle is being questioned, from ownership (or lack thereof) to how customers will interact with cars. To keep up, car manufacturing lines will currently have to transform to make sure that cars are durable, safe, and confident to withstand the new rides-haring, autonomous future throughout their whole life-cycle.
 
Manufacturing these automobiles will take technology as advanced as the cars themselves, likely requiring immense investments in overhauling factories. Not just will the next generation of cars be mobile tech hubs with the same capabilities consumers have come to expect from their devices, the manner by which consumer use and own cars is also expected to transform.
 
Machine learning and computer vision have the prospective to transform the process, making the manufacturing process more efficient as well as more effective. AI and machine learning can analyze 360 scans of vehicles as they come off the production line. Deep learning will detect small defects that could be missed by a traditional inspection, as well as build a database to predict any issues affecting the manufacturing line.
 
By establishing machine learning into the production line, OEMs will more easily be able to discover and react to issues in the factory before it goes to the consumer. Smarter, more technologically advanced factories will permit OEMs to adjust to a shrinking market that is rapidly changing.



This article is originally posted on Tronserve.com