Maybe once self-driving cars belonged to science-fiction stories, but today, thanks to artificial ielligence, many dreams have become reality, and self-driving cars have been found on the street; An experience that marked a new era in the automobile industry. In 2017, Elon Musk predicted that it would take ten years for these cars to become widespread, and these days, big brands such as Tesla, Benz, Bosch, Toyota, and Volkswagen are trying to change people’s experience by using this technology. .
Artificial ielligence uses data and machine learning algorithms to replicate and even improve upon human decisions. Applying AI-based solutions increases product value, increases efficiency, and data shows can improve quality of life.
Advaages of artificial ielligence in the automotive industry
Over the past years, automotive industry experts have raised four importa issues in the field of ielligeization;
- Automatic driving
- Connecting cars to data sensors
- Car electricity
- Shared transportation service
These fields are the fields in which artificial ielligence plays a key role and has taken a growing trend. Artificial ielligence can improve the user experience, accelerate innovation, and transform the eire cycle of vehicle production and maienance. It can also collect and process a large amou of information from cars and based on them, provide excelle solutions in the field of car security.
Artificial ielligence helps the automatic driver to recognize the objects around the vehicle well and at the right time and make better decisions. It will also play an effective role in improving the maienance process and diagnosing the necessary repairs for the car.
Applications of artificial ielligence in cars
The use of artificial ielligence in cars occurs in several fields, which we will meion below;
Driver experience
- Learning and analyzing driving habits
- Reducing distracted driving
- Customer access
- Improve customer experience
Passenger experience
- Improve customer experience
- Personalized access
- In-car delivery
supply chain
- Automatic routing
- Automated decision making for supply chain manageme
- Market volume forecast
- Aicipation and resupply
Production
- Car assembly
- Information sensors to improve performance
- Optimizing the production chain
- Using robots for difficult and risky tasks
Quality Corol
- Detect errors with high accuracy
- Constructive supervision
- Crack or fissure detection
Artificial ielligence in car factories
The increase in competition in the automotive industry has forced manufacturers to invest in better equipme and go to the solutions that artificial ielligence has put in fro of them to increase the quality and efficiency of the production cycle. Artificial ielligence helps manufacturers speed up the work process and constaly monitor it, find work defects quickly and improve the quality corol process.
Artificial ielligence can help equipme manufacturers reduce production costs and produce safer products with fewer errors. These days, Audi uses artificial ielligence that uses machine vision to detect small cracks in sheet metal within a few seconds.
The following titles are the most importa applications of artificial ielligence in the production process;
- Computer vision for defect detection
- Quality corol of progress and waste reduction process manageme
- Proper maienance of equipme
- Coribute to the design phase, to produce innovative products and discover algorithms to optimize the use of resources and thus create models with better efficiency.
- Simultaneous Localization and Mapping (SLAM) technology is a technology that enables robots to assist in vehicle manufacturing by assembling and moving equipme. The use of this technology can increase the productivity of workers by twey perce.
Artificial ielligence companion for the driver
One of the most importa areas in the application of artificial ielligence in the automotive industry is the benefits of this technology for the driver and car owner, which we will meion below.
Improved driving experience
These days, AI can completely do the driving and help manufacturers produce more efficie cars. Automotive industry leaders are eager to use artificial ielligence-enabled systems as an advaage in their production. Machine vision, natural language processing, and robotic automation are the technologies they use in cars to produce cars that ensure driver safety and operate without human ierveion.
In addition to this, ier-car communication technology is also growing, which provides the possibility of connecting each car to an information ceer and other cars so that they can better understand traffic patterns and the behavior of other drivers and preve many accides.
Assessing the condition of the driver
By analyzing the available data from the driving records of the person sitting behind the wheel, artificial ielligence can predict the problems caused by the absence of his mind, and this technology can also evaluate the driver’s mood at the mome based on this information. In the same way, with the help of surveillance systems and smart cameras, artificial ielligence can monitor the driver’s vital signs in order to warn him in case of a problem or take corol of things himself.
Help the driver
By using driver-assist technology, we are actually just a few short steps away from fully automatic cars, in this artificial ielligence technology, sensors to monitor blind spots, detect pedestrians, warn the driver and react automatically in time. Risk uses.
Monitor the driver
Artificial ielligence-based software in automatic cars can detect the driver’s presence in the car and can adjust the seat, mirrors and even the temperature when the passenger eers the car. The position of the head and the position of the eyes help this software to check the driver’s sleepiness and even wake him up. This technology even has the ability to adjust the position of the airbag during an accide, so that the driver is less injured.
Proper maienance of the car
Artificial ielligence can give necessary warnings for repairing and taking care of the car by carefully examining it at any mome. With the help of these systems, you will be aware of the condition of the car at any mome, and the depreciation of the car will also decrease, and you will not face sudden costs due to multiple breakdowns.
Conclusion
The evolution of efficie algorithms, high-performance hardware, and sensors that work with information has enabled the operation of artificial ielligence in the automotive industry. The reality is that automakers must abandon traditional methods and invest in valuable software and information. From machine learning to natural language processing and machine vision, everything can be used in cars and can completely change the game in this industry.
