Thought Leaders in Artificial Intelligence: Amir Hever, CEO of UVEye (Part 1)

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This is a fascinating discussion on how UVEye is applying computer vision and machine learning to vehicle inspection for use cases such as terrorism prevention. Sramana Mitra: Let's start by introducing our audience to yourself as well as to UVEye. Amir Hever: I'm the Co-Founder and CEO of UVEye. We are introducing to the market the new standard of inspection. There are a lot of different use cases to understanding the exterior or expanse of a vehicle that range from security to commercial. That includes car manufacturers, public transportation, rental companies, and insurance companies. Sramana Mitra: Let's take three customer use cases that illustrates three different aspects of how you create value. You choose whatever you want to highlight. Amir Hever: The first use case would be the one that we started with. It was a security organization trying to understand whether the vehicle was modified, especially in the undercarriage. If someone attaches something to the

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