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what is the use of artificial intelligence in automotive industry | Benefits & Impact

what is the use of artificial intelligence in automotive industry | Benefits & Impact

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Artificial intelligence (AI) has become a global buzzword in recent times. In the frenzy of enhancing efficiency and productivity, all industries across the world are seeking to transform their internal and external operations with AI. As a result, AI has established its own trademark in revolutionizing the industrial sectors such as education, healthcare, tourism, hospitality, manufacturing, banking, finance, automotive, logistics, and so on in the United States.

Though AI is being implemented quickly among various industrial sectors in the USA, the way it is utilized in the automotive industry is now a hot potato. This blog presents complete insights regarding artificial intelligence and its impact on the automotive industry in the USA. Firstly, let me give an overview of Artificial Intelligence.

What is Artificial Intelligence (AI)???

Artificial Intelligence (AI) is an advanced technology that blends software systems and massive datasets for solving complex problems. Human intelligence is stimulated in software machines especially computer systems for performing various tasks. Artificial intelligence is a multidisciplinary science with several methodologies and advancements in machine learning and deep learning. Artificially intelligent systems are capable of performing several activities that are generally associated with human cognitive capabilities like pattern identification, speech (or) voice recognition, and playing games.

Basically, Artificial Intelligence is a branch of computer science aimed at developing intelligent machines capable of performing cognitive tasks. With the help of AI, smart machines are able to analyze large amounts of data and create patterns to model their own decision-making.

➢ Typically, in most cases, artificially intelligent machines are supervised by humans. Humans are involved throughout AI’s learning process for reinforcing good decisions and discouraging bad ones.

➢ On the other hand, some of the AI models are designed to learn without human intervention. They make their own judgments by interpreting the rules and learn to succeed by playing video games repeatedly.

AI systems are categorized into four categories according to the type and complexity of a task. They are listed below:

  1.  Reactive Machines
  2. Limited Memory
  3. Theory of Mind
  4. Self-awareness

This is everything about artificial intelligence. Returning to the topic, read the blog to learn about the impact of AI on the automotive industry in the United States.

Impact of AI on the Automotive Industry

Many mature industries, such as finance and ICT (Information & Communication Technology), as well as aspirational industries, such as life science, retail, and healthcare, have already incorporated AI to automate their day-to-day processes. AI implementation is significantly more in matured and aspirational industries compared to others. In terms of technology adoption and implementation, the automotive industry is still a new adopter.

Artificial Intelligence is being implemented across the automotive value chain which includes manufacturing (design, supply chain, production, & post-production), transportation (driver assistance, cloud computing, driver risk assessment, autonomous driving, & driver monitoring), and service (predictive maintenance & insurance).


Currently, robots and humans are working collaboratively to manufacture automobiles. Humans supervise robots during the AI’s learning process, which includes designing, manufacturing, and assembling parts. For now, AI is assisting humans in the development of vehicles through the use of exoskeletons, but in the future, AI-powered robots will manage the entire manufacturing process.


AI is absolutely empowering the transportation system. At the moment, artificial intelligence is playing a vital in monitoring the driver's facial gestures, particularly their eyes, and alerting them through face recognition. Furthermore, AI has made inroads into the areas of driver assistance, autonomous driving, and driver risk management.


Together with manufacturing and transportation, AI has become crucially influential in aftermarket services. Presently, there are various AI applications that predict the problems related to engine performance, battery performance, air conditioning systems, ABS, and so on. The AI-powered insurance providers offer quick insurance services, claims, and settlements to customers.

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Most automotive industries are working extremely hard to incorporate artificial intelligence (AI) into their automobiles; let’s look at what technology can contribute to manufacturing, transportation, and services to enhance the driving experience, customer experience, and quality control for years.

AI in Manufacturing

Due to increasing competition its time for automotive industries to replace their manpower with AI-powered systems in order to speed up their manufacturing process. AI-powered intelligent machines help in workflow optimization, defect detection, and quality control.

➢ Artificially intelligent machines with smart computer vision can detect any sort of cracks in the metal and predict malfunctioning during production.

➢ Simultaneous Localization and Mapping (SLAM) technology enables AI-powered robots to gather and transport equipment in automotive manufacturing.

➢ With the integration of AI and Machine Learning (ML), robots can assemble parts by determining where to choose the materials, how to pick them, and what sequence to pick them in, thereby eliminating the need for manual workforce.

AI in Automobile Designing

The pandemic has made way for the launch of many automobiles with unique features and designs into the market. In order to stay in the global competition and satisfy customers most automotive industries are relying on AI.

➢ As to transform the traditional design process, automotive architects can use AI with computer modeling to perform real-time tracking and programable shading.

➢ AI improves the design workflow process and reduces the amount of time spent on design approvals and sanctions.

➢ Hundreds of new designs can be generated readily by leveraging Machine Learning (ML) and Artificial Intelligence (AI) datasets.

AI in Quality Control

Safety has become the utmost concern for everyone including manufacturers, suppliers, and customers. Focusing on compliance issues most automotive industries are striving to supply quality-driven products in order to improve customer experience.

➢ Through defect detection and data annotation, artificially intelligent robots are employed to examine automobile components and detect any type of defects in automobiles.

➢ Usually, AI-powered systems gather data from AI sensors installed in various locations and alert architects regarding maintenance and replacements for maintaining quality.

➢ AI quality control systems provide a complete picture of vehicle parts and any flaws before they are installed.

AI in Supply Chain

Managing the supply chain in the automotive industry is a complex and time-consuming process. This is due to the fact that vehicles are made up of several parts, not all of which are manufactured in the same place. Indeed, they are imported from all over the world.

➢ AI combined with ML assists manufacturers in efficiently managing their supply chain and making better supply chain management decisions.

➢ Robots monitor the progress of each individual component at every stage and keep track of their quantities.

➢ Using AI, automotive industries can entirely automate their supply chain, making smarter decisions, altering routes, maintaining records, and predicting surges in demand and supply.

AI in Driver Experience

Automotive industries are gearing up to provide more effective and outstanding experiences to drivers so as to stay ahead of competitors.

➢ AI-powered Advanced Driver Assistance System (ADAS) provides information on everything from traffic to weather conditions to the best routes on the map.

➢ ADAS keeps the driver informed regarding car locks, auto-door locks, hands-free calls, seatbelts, object detection, and other features to ensure safe driving.

➢ AI, in conjunction with computer vision, NLP (Natural Language Processing), and RPA (Robotic Process Automation), enables vehicle connectivity to share data in order to better understand traffic, driver behavior, and prevent road accidents.

AI in Driver Assessment

➢ AI smart cameras and monitoring systems can assess the diver’s driving track record and predict possible issues based on his (or) her absenteeism, mood, and behavior.

➢ Simultaneously, AI intelligent cameras and monitoring systems can monitor the driver’s vital signs and alert him (or) her to take over the vehicle in an emergency.

AI in Driver Monitoring

➢ AI software monitors the ecosystem and senses if anyone is present in the vehicle or not. It can adjust seats, mirrors, and temperature if a regular user gets into the driver’s seat.
➢ AI software scans the driver’s facial expressions, notably, if the driver’s eyes are open (or) closed, as well as facial gestures such as drowsy (or) tired (or) awake, and alerts the driver accordingly.

➢ One of the remarkable features is that AI software can detect the position of the upper body during an accident and adjust the airbags accordingly.

AI in Predictive Maintenance

Artificial intelligence technology has transformed the maintenance system from preventive to predictive, lowering maintenance costs while improving efficiency.

➢ AI sensors and algorithms look into and assess contextual data in order to provide real-time alerts on system maintenance.

➢ AI software provides actionable insights and uncovers system inefficiencies over time to fix problems at the earliest.

AI in Insurance

AI has the potential to benefit both insurance providers and drivers in case of an accident. AI software algorithms can accelerate insurance claim processing during an accident (or) mishap.

➢ With image datasets and object detection, drivers can gather incident details easily and fill out their claims efficiently.

➢ Insurance providers, on the other hand, can employ image processing and AI capabilities to conduct vehicle damage analysis in order to eliminate gaps and process claims more quickly.

Benefits of AI in the Automotive Industry

Below mentioned are the benefits of incorporating Artificial Intelligence (AI) in the Automotive Industry in the USA.

1) Improved Safety

Integration of AI into automobiles can improve the safety of drivers. For ensuring safety, many automotive industries are developing vehicles that are capable of sensing obstacles on the road. Deep learning is being used to collect data from AI sensors and intelligent cameras to prevent dangers.

2) Better Engine Performance

AI systems improve vehicle performance by increasing engine efficiency. AI software is being used in the automotive industry to optimize engine output under varied driving conditions in order to enhance fuel mileage by 5%.

3) Reduced Cost

Switching the traditional automotive value chain with AI-powered machines reduces both manufacturing and maintenance costs. Artificially intelligent systems are capable of detecting defects right during production by reducing maintenance costs by 30% in the automotive industry.

4) Increased Customer Satisfaction

Artificial intelligence along with NLP (Natural Language Processing), machine learning, object identification, image processing, AI sensors, intelligent cameras, and deep learning all together delivers a wonderful experience to the customers.

5) Car Connectivity

AI sensors and cameras collect data from other cars and their surroundings to increase safety, efficiency, and performance. AI software analyses data and shares it with other vehicles to avoid gridlocks and accidents on the road.

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Artificial intelligence has the potential to transform the automotive industry, and it is likely to have an even bigger influence. AI along with machine learning, deep learning, IoT, cloud computing, and cognitive systems will bring safe and autonomous vehicles into the market. Recent researches state that the sales of self-driving mania will be going to hit 80 million units by 2032. Now, it’s high time to give Artificial Intelligence a front seat in the automotive industry in the USA. I hope the blog has covered all the important aspects of Artificial Intelligence. Do leave your feedback in the comment section.

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