In his quest to make India Future Ready, Vimal Daga, Technology Guru, believes that no technology can be as challenging or complex as the World suggests or presents to us. He believes that It is merely a matter of knowing the right path and taking it forward as per one’s requirements”. The right way of thinking or the belief that “Yes, I Can Do It” can change things in a dramatic way for you. Beyond being a technologist, technology guru, start-up mentor, World record holder, and TEDx speaker, Vimal Daga possesses many talents, roles, and accomplishments. Besides being the founder of Linux World (P) Ltd, He also heads Arth School of Technology and IIEC ( Indian Innovation & Entrepreneurs Community ) through which he is making aspiring entrepreneurs realizing their startup dreams. these verticals are working towards achieving his motto of Making India Future Ready.
The implementation of AI in the automotive sector has been evolving in a positive way and the positive response it has received all over the world has prompted a whole new era of innovation in the industry.
Automakers are building the foundation for the smarter vehicles of the future by incorporating artificial intelligence. There is a great deal of promise in this field as we can expect more advances and revolution within the decade.
As artificial intelligence becomes more prevalent, the need for autonomous vehicles is expected to increase. The market for autonomous vehicles is expected to benefit from this. AI is being used at every level of the automobile sector starting from manufacturing, design and moving all the way through production and post-production.
With artificial intelligence, the automotive industry is set to undergo a revolution. A number of technology companies have made significant investments in this area, including Google, Tesla, and Uber. The benefits are not limited to large companies – small companies can also participate in this. In addition, this may open up new career and academic opportunities. Additionally, developers and software engineers are certain to benefit from this domain.
The experience of driving cars in the future will not only be safer and more enjoyable but technology is also going to be making a shift in the direction of high-powered and heavy vehicles and advance the way. Though many believe personal, autonomous vehicles are the future, there are multiple ways in which AI and machine learning are being implemented in the way vehicles are built and how they operate on the road.Eventually, it will change how cars are produced and how cities handle traffic.
Following is an explanation of how Automotive Artificial Intelligence will make driverless cars a reality. Sensors will gather data about the environment Based on automatic detection and classification algorithms, autonomous vehicles can identify objects, evaluate conditions, and take decisions while navigating the roads.In order to reduce failure and ensure safety, machine learning combines a number of algorithms. As a result, these algorithms decipher road signs, know how to navigate lanes, and recognize intersections.Autonomous cars rely on three major sensors to work together like the human mind and eyes, There are cameras, radars, and lidars. Collectively, they provide a full view of the surroundings to the car. Using them, the car can identify the location, speed, and 3D shape of objects that are near it.
Artificial intelligence has the potential to revolutionize the car manufacturing industry, making it more efficient and faster. Moreover, it provides complete monitoring of manufacturing lines from conception to completion, eliminating waste and enabling employees to keep track of the entire process. Painting and welding work in the Automotive Industry can both be done by using Artificial Intelligence. Furthermore, it can be used to fill and cut glass for windows, doors, hoods, roofs, and windshields. It can also detect irregularities and defects and alert the quality control department.
Generative Design:
Based on defined criteria, generative design generates outcomes and results. To discover new design alternatives, designers and engineers enter design parameters and goals, such as materials, manufacturing methods, and budget restrictions, into generative design software. From each experiment, machine learning techniques are used to learn what works and what does not work.
Maintaining Vehicle Predictably:
Instead of guessing or performing preventive maintenance, companies can determine when machines need repair with pinpoint accuracy with preventative maintenance. Through machine learning, unplanned interruptions can be avoided. Using technologies like sensors and cutting-edge analytics built into manufacturing machinery, proactive care is enabled by responding to signals and repairing the system.
Identifying, Tracking, and Recognizing Drivers:
Through adaptive facial recognition algorithms, the AI can recognize who is driving the vehicle. The mirror setting, seat, posture, airbags and temperature can be personalized according to the individual’s preferences. By monitoring head position, gaze, and eye opening, it can remind the driver to keep his gaze on the road.
The role of artificial intelligence in the development and design of cars is paramount throughout the entire life cycle.Vehicle sensors, production line data, and data collected from customer feedback generate a wealth of information for analysts. Statistical analysis and evaluation of the findings provide a powerful means to enhance design, testing, implementation, and maintenance.
Aftermarket Services and Artificial Intelligence
AI is not only used in manufacturing and transportation. Vehicles with built-in artificial intelligence work even after they are put on the market. If an accident occurs, artificial intelligence in a connected vehicle will send an alert to the owner and to the insurance company. In addition, it helps in notifying the insurance companies about outstanding claims and assisting the companies in claiming the pending settlements from the claimants.
Testing and Quality Control
Small flaws in products are often hard to find. Artificial intelligence, on the other hand, can be equipped with cameras and detect even the smallest defects. The technology of machine vision allows machines to see products and detect defects on the production line. In the past, human experts would have been in charge of analyzing these images, but now automated processes are available. The AI system notifies the user of defects and marks them.
Car Crash Prevention
Societal Cost-Savings
Cost is one of the most crucial aspects to evaluate when weighing the pros and cons of self-driving cars. According to reports, autonomous vehicles could assist society save approximately $800 billion a year. Efficiencies can be gained by preventing car crashes, alleviating strains on the healthcare system, easing traffic congestion, and decreasing fuel usage.
Efficient Traffic Management
Communication is one of the greatest advantages of self-driving cars. With timely communication, cars can travel faster at optimal distances from one another. You’d be advised on the best route to take to minimize traffic delays.
A Better Transportation System
Those who are unable or unwilling to drive could benefit from self-driving cars in the future.
With a self-driving car, people with disabilities or the elderly could get in without putting themselves at risk.
In addition, self-driving cars are beneficial in cities with restricted public transportation. They can travel to areas without adequate infrastructure with ease.
Suitable for the Environment
Environment is also a significant factor when discussing self-driving cars. Unlike internal combustion engines, autonomous cars are likely to be powered by electricity. Additionally, self-driving cars will travel at steady speeds, eliminating frequent braking and controlling. As a result, emissions will be reduced, resulting in a more environmentally friendly environment.