internetofthingsagenda.techtarget.com

While many cities, mobility companies, automakers and even pizza delivery giants are running limited tests of autonomous vehicles on public roads, the truth is that most of those self-driving cars are still being chaperoned through their daily drives by “safety engineers. San Jose’s airport is already testing an autonomous vehicle in a similar terminal-to-parking-lot loop, and cities hoping to rebrand as “smart cities,” like Austin and Cincinnati, are also looking into autonomous vehicle options. International travelers might enjoy faster, simpler boarding with facial recognition at Orlando’s international airport, where all international travelers will be screened with facial recognition, or at another of the eight airports participating in the U. S. Customs and Border Protection’s (CBP) Biometric Air Exit program. CBP has been most active in pushing forward with facial recognition testing, but early success and growing demand for simple airport experiences has encouraged the TSA to explore facial recognition’s impact on security procedures for domestic travelers.

It was only when the company looked beyond its IoT network that the failures began to make sense: Early failures tended to occur in restaurants that baked their own bread, which caused yeast to collect on the ice makers’ compressor coils. Getting back to the restaurant equipment company in our case study, its goal might be to have the brand perceived as the premier provider of industrial kitchen equipment, with a promise of zero failures. If it’s going to reach that goal, it’s going to need predictive analytics — not only to tell it that a piece of equipment is in danger of failure, but to initiate a process that closes the loop and ensures the matter is handled proactively. If the chance of failure is closer to 90%, it could schedule the service automatically; it’s what the service manager would have done anyway, and it’s saving him the trouble of picking up the phone.