The concept (rather, the idea) of vehicles that can drive themselves is nothing new; it has been in the picture since the 1970s. But, while the vision started with entirely autonomous cars (a goal that remains far-fetched at present), it has been implemented in the form of robots arms deployed in factories, cars that can park themselves, and machines that can self-diagnose defects.
In so many similar ways, the automobile sector is changing rapidly with the help of AI and machine learning. Increasingly improving automated vehicles, traffic management through algorithms with independent decision making capabilities, recognition and monitoring, anti-collision systems- there are plenty of examples where AI has assisted the automotive industry in creating more durable, safe, and efficient solutions for automated driving as well as other purposes.
Let’s discuss those in detail.
How Does Automotive Artificial Intelligence Work For Automotive?
Artificial intelligence is the ability of a computer to act and behave like a human. AI feeds on data to detect patterns, identify correlations, and discover potential relationships between data elements. That information is used to simulate and mimic the decision-making capabilities of a human brain.
Speech recognition is a popular AI example. We can also automate data processing with the help of AI. Additionally, the scope of its implementation is vast, including facial detection, conversational chatbots, recommendation engines, etc.
Machine Learningis one of the biggest and most adopted dimensions of AI. An ML algorithm can recognize and correct potential issues by studying common human mistake patterns. Additionally, it may learn by observing how a user uses an analytics application, quickly exposing unexpected insights from huge datasets.
This is also why data annotation and text annotation services are gaining popularity, as they are used to create training datasets, which are then used to train machine learning models.
Ways In Which AI Is Transforming The Automobile Sector
- Streamlined Supply Chain
AI may greatly enhance corporate operations by utilizing the enormous quantity of data created by sensors monitoring the development and transit of goods via IoT. To manage inventories, suppliers, and logistics, with a better degree of awareness and precision, AI and IoT were combined to create AIIOT.
It becomes evident that potential delays or issues in the supply chain result in organizations losing millions if we add intricate production processes, exceedingly challenging access to trained people, and market dependence.
Example:-Audi's supply chain monitoring is complemented with artificial intelligence. More than 13,000 suppliers self-assessed their sustainability performance in 2020 and provided information to the Volkswagen Group. Audi accepted only businesses that completed this audit.
- Traffic Management
We all experience traffic jams daily that seem to stretch on forever, wondering when the lights will turn green. The proliferation of new automobiles onto the road each year adds to clogged road problems. But, with the use of Machine learning and AI, companies are working to prevent traffic congestion. Computers can now evaluate complicated data and suggest the optimal route for drivers.
By gathering and evaluating data from many sources, AI and deep learning technologies may be extremely useful in regulating traffic.
Such an AI algorithm can provide insights that will help hasten traffic flow. However, for now, training such a system will require appropriate knowledge of traffic to train a system to locate congestion and suggest measures in advance. That can be done with appropriate content moderation services. Intelligent AI technologies that automate and expedite operations will emerge in the future of traffic management.
- AI-Powered Police Car
Ford is working on launching a patent for AI-powered police vehicles, i.e., an official unmanned vehicle may issue citations and infractions to speeding automobiles.
It will verify their identity and issue a ticket if any violation happens. It seems logical that Ford is looking into the possibilities for intelligent police cars as they also offer police vehicles to police departments worldwide.
- Use Of AI In Accident Prevention
Driving may be exhausting, but only for humans and not for artificial intelligence. The most well-known brands in the automotive industry are progressively putting technologies in cars that track driver alertness and weariness to save them from any mishap. Two brands that have done so are listed here.
Leveraging AI in the car, this camera can identify and monitor the driver’s eyes, judging whether the driver is feeling drowsy.
This brand is no less in deploying AI for the safety of the driver as well as for passengers. For example, BMW 3 series have deployed AI that asks if the driver is feeling sleepy or tired during the drive.
- Voice Assistant
The automotive sector also has particular use cases for voice assistants. As per the survey conducted by Capgemini Research Institute, by 2022, 95% of customers will be using in-car conversational aides, including voice assistants. A few examples of AI-powered voice assistants are already available in the cars of the new generation.
Example:-Honda was among the first car companies to employ voice assistants in a vehicle. In 2004, the business provided a voice-navigation system with voice command and control features for music, DVD, and temperature control.
According to research by Voicebot, customized automotive voice assistants are another feature that may significantly influence car purchase decisions.
- Facial Recognition System in Automotive Industry
To improve comfortability as well as security. Face recognition technology is making its way into the latest models of automobiles. Numerous applications for face recognition in vehicles exist, from car starting to theft prevention.
Face recognition may add that extra measure of security and discourage theft as it operates on a clear and unobtrusive theory.
a South Korean automaker, has revealed that the first electric sport utility vehicle from its brand. It would come equipped with a revolutionary face recognition technology.
Equipped with a smart key, this vehicle’s drivers will only be able to access the doors. Start the car with their biometric data. Additionally, car owners might impose permits or limitations on family members.
For instance, they might place limitations on the duration or pace at which their kids can practice driving or forbid access if no adult is present. The mechanism can alert the owner or prevent the car from starting if an unauthorized person enters the car. This gives owners more control over their cars and deters theft.
Conclusion of How is AI Impacting the Automotive Industry
The automotive industry is working towards the production of smarter cars and further advancements in artificial intelligence. By utilizing their expertise in artificial intelligence, several high-tech brands like BMW, Tesla, and Ford are working towards dominating the automobile sector. So, they have a bright future ahead of them.