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Artificial Intelligence impacts quality control and safety within Automobile Industry

Artificial intelligence is literally among the top technologies of our time. It's caught the attention of scientists, futurists, engineers, and Wall Street analysts alike. To the untrained eye it's just another technological toy that's supposed to improve human performance in every way. In actuality artificial intelligence is actually in many ways a catalyst for the information revolution. If you're unfamiliar with what we are talking about, let us explain.

The advent of computer chips and wireless communications has created an entirely new industry, artificial intelligence experts. These computer geeks are applying various forms of artificial intelligence to every aspect of manufacturing. Consider the advent of predictive maintenance software for truck and car manufacturing. This software takes an action-based picture of the company's entire supply chain and produces a report based on mathematical algorithms, which highlights areas of greatest chance for failure and suggests actions which will prevent these failures.

Algorithms used in this process to identify specific problem areas for each truck and car. Each algorithm is designed to take a specific aspect of the driving experience, such as speed, accidents, and breakdowns and suggest improvements to the driving experience which can reduce those risks. This not only reduces breakdowns and accidents, but it also improves the overall safety and efficiency of the automotive industry. A truck driver's ability to read road signs and stay alert on the road is also analyzed by these programs. Again, all of this occurs without a human driver being present. While some aspects of the technology may seem very complicated there are actually several different applications in the trucking industry and the automotive industry in general.

The ability to drive safer, faster, and more efficiently is just one of the applications. Another application is to help vehicles detect obstacles, pedestrians, and other moving vehicles. Think of the truck that could autonomously detect a child or animal jumping out in front of it and brake the vehicle in order to avoid an accident. Or how about trucks that can anticipate the movements of an old woman who may be crossing the street? These programs are capable of driving autonomously through a city and react accordingly.

Algorithms can also detect hazards and other problems and alert truck and fleet managers. Again, all of this can be done without human supervision. In addition, the trucking industry has used artificial intelligence to control the quality control process of their inspections. When a driver makes a stop at a particular location or performs any maintenance on a vehicle, they are using data to indicate whether or not the vehicle passed inspection standards.

While it appears that some applications of artificial intelligence have impacted the trucking industry we are only at the tip of the iceberg. In the future we will see many more different applications of AI in all aspects of manufacturing and transportation. Automotive manufacturers are currently developing systems that can predict the behavior of pedestrians and prevent them from causing accidents. Safety is the top priority of the auto industry and this is one application that is being developed to take away the human element from safety decisions.

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