Tag Archive for: AI in automotive

How AI is Revolutionizing the Car “Infotainment” Industry

There was a time when your car was simply a mechanical conveyance to get you from point A to point B. The automotive “infotainment” industry was born when the first AM car radios became an option on vehicles. Ever since then, entertainment features to enhance the driving experience have become increasingly more sophisticated, and today the future of the automotive infotainment industry is being driven by AI.

From smart sensors to “digital twins” and the promise of fully autonomous vehicles, AI is truly propelling innovation in the auto industry. One area that has certainly seen a significant change with the advent of AI is the car infotainment industry. AI-powered infotainment technologies have revolutionized various aspects of the driving experience, making it more personalized, efficient, and enjoyable.

One of the main advantages of AI in-car infotainment is its ability to create a personalized driving experience. Machine learning algorithms can analyze the driver’s music preferences, climate control settings, and even seat adjustments, automatically adjusting these settings to match the driver’s preferences. This level of personalization allows for a more comfortable and enjoyable driving experience tailored to the individual’s needs.

AI has also enhanced the safety features of cars. AI-powered cameras and sensors can detect signs of drowsiness or distraction in a driver and alert them to take necessary precautions. Additionally, AI systems can analyze data from various sources, such as traffic patterns, weather conditions, and car sensor data, to predict potential accidents and take preventive measures, such as adjusting the car’s speed or alerting the driver to potential hazards.

According to Hideaki Ishii, Managing Director, Pioneer India Electronics, beyond personal comfort and enhanced safety, voice recognition technology has seen significant advancements with the integration of AI into car infotainment systems. “Drivers can now interact with their car’s infotainment system using natural voice commands, allowing hands-free operation and reducing distractions while driving. AI-powered voice recognition systems can understand complex commands and respond accordingly, making it easier for drivers to control various car functions,” says Hideaki.

The marriage of AI and automotive infotainment is only going to expand. Some cars are already equipped with AI-powered virtual assistants that can recommend entertainment options based on the driver’s mood or preferences, creating a more personalized and engaging entertainment experience while on the road.

AI the Auto Industry, BigRio, and CarTwin

AI holds immense promise in-car infotainment. As AI technology continues to evolve, we can expect even more intelligent and personalized features in cars. For example, an AI-powered infotainment system may be able to analyze a driver’s physiological data, such as heart rate and stress levels to determine their mood and then the car can automatically adjust the music and the vehicle’s internal environment to create a calmer and more relaxing driving experience.

As such technology emerges, you can be sure that BigRio and our sister company CarTwin will be a part of it.

Just as there are startups leveraging AI to advance vehicle infotainment systems, there are many other areas where AI is revolutionizing the driving experience, not the least of which is digital twin technology for advanced diagnostics like that being developed and implemented by CarTwin. Digital twin solutions like those developed by CarTwin are taking predictive maintenance to extraordinary levels all across the transportation industry.

Basically, CarTwin can provide diagnostic and predictive models for all vehicle systems for which data is available (either directly or indirectly) onboard the vehicle.

Virtually any part of the vehicle that has sensors or that sensors can be developed for can be “twinned.” These data sets are then enhanced and augmented with design and manufacturing data that is already available by the OEM.

Primarily designed for use in fleets of vehicles, in combination with powerful AI models, CarTwin predicts breakdowns, monitors and improves performance, and measures and records real-time greenhouse gas emissions, which reduces expensive maintenance costs and avoids lost revenue associated with fleet downtime.

It is very likely in the not-too-distant future, as fully autonomous vehicles replace human-driven fleets of over-road cargo transportation and taxis and limousine services that technology such as CarTwin’s will also be incorporated into the algorithms to keep these vehicles not only self-driving but safe and on the road longer.

You can read much more about how AI and digital twin technology in my new book Quantum Care: A Deep Dive into AI for Health Delivery and Research. While the book’s primary focus is on healthcare delivery, it also takes a deep dive into digital twin tech, with an entire chapter devoted to CDT and the development and launch of CarTwin!

Rohit Mahajan is a Managing Partner at BigRio and the President and Co-Founder of Citadel Discovery. He has particular expertise in the development and design of innovative AI and machine learning solutions for clients in Healthcare, Financial Services, Retail, Automotive, Manufacturing, and other industry segments.

CarTwin has leveraged AI and Digital Twin technologies to create a digital, cloud-based clone of a physical vehicle designed to detect, prevent, predict, and optimize through AI and real-time analytics. If you would like to benefit from our expertise in these areas or if you have further questions on the content of this article, please do not hesitate to contact us.

New AI Solution Uses Pooled Data for More Advanced Automotive Diagnostics

Protech Automotive Solutions’ ID3 solution leverages the idea that many data points are necessary to achieve the most accurate calibrations for automotive safety features that often need to be recalibrated after a vehicle has been involved in a collision.

ID3, which is pronounced “I-D cubed,” was recently unveiled at the 2022 SEMA Show. It uses proprietary artificial intelligence and machine learning algorithms to identify calibration needs for a given automotive repair after a vehicular collision. While that service exists in many forms today, Protech Vice President of Product Development Don Mikrut says that the key difference with ID3 is that instead of merely returning what kind of calibrations might be needed, ID3 is able to use its knowledge base to deliver more accurate assessments almost instantaneously.

“We start to triangulate all that data through the algorithms and the machine learning that we’ve developed, to come back and say, based on your pre-scan, and the estimated damages, and the OE procedures and knowledge base, we’ve been able to triangulate this,” says Mikrut, hinting at the source of the three in ID3’s name. “Every line of that estimate comes back and tells you this is what needs to be calibrated on this vehicle based on the damages.”

And according to Mikrut, all of that happens in “milliseconds.”

The genesis of the development of the ID3 AI solution was driven by all of the new safety features, such as autobraking and proximity sensors and others that are known as ADAS, for Advanced driver-assistance systems. With the advent of ADAS systems, collision shop owners had to devote a significant amount of time to manually research and determine which ADAS systems needed to be recalculated and how to do so. Existing diagnostic scans could reveal what systems were present on the vehicle but not necessarily which ones were impacted by the collision, which left a process that was open to interpretation and judgment calls by repair techs.

ID3 was developed to solve this issue.

The team at Protech leaned on “30-plus years of building a knowledge base,” according to Mikrut, that encompasses Protech’s acquired expertise as well as data from OEs for ID3 to draw on.

The solution was rolled out in 2022, and as of the start of this year, it is being used in over 1200 locations.

“ADAS ID3 builds on our expertise and history in the vehicle diagnostic industry by revolutionizing the identification of calibration and repair needs, thus saving our technicians and partners time and money,” said Chris Gutierrez, Vice President of Technology Innovation, who led the products development team. “Protech’s focus is to fix vehicles the right way the first time.”

AI, the Auto Industry. and CarTwin

Just as ID3 is leveraging AI to advance vehicle diagnostics and repair calibrations, digital twin solutions like those developed by CarTwin are also taking predictive maintenance to new levels all across the transportation industry.

Digital twin technologies extend the lifespan of cars and other vehicles by monitoring the vehicle’s “health” through its “digital twin.”

Basically, CarTwin can provide diagnostic and predictive models for all vehicle systems for which data is available (either directly or indirectly) onboard the vehicle.

Virtually any part of the vehicle that has sensors or that sensors can be developed for can be “twinned.” These data sets are then enhanced and augmented with design and manufacturing data that is already available by the OEM.

Primarily designed for use in fleets of vehicles, in combination with powerful AI models, CarTwin predicts breakdowns, monitors and improves performance, and measures and records real-time greenhouse gas emissions, which reduces expensive maintenance costs and avoids lost revenue associated with fleet downtime.

It is very likely in the not-too-distant future, ADAS-type technologies will advance to the point where fully autonomous vehicles will replace human-driven fleets of over-road cargo transportation and taxis and limousine services. No doubt, technology such as CarTwin’s will also be incorporated into the algorithms to keep these self-driving vehicles not only safe but on the road longer.

Rohit Mahajan is a Managing Partner at BigRio and the President and Co-Founder of Citadel Discovery. He has a particular expertise in the development and design of innovative AI and machine learning solutions for clients in Healthcare, Financial Services, Retail, Automotive, Manufacturing, and other industry segments.

CarTwin has leveraged AI and Digital Twin technologies to create a digital, cloud-based clone of a physical vehicle designed to detect, prevent, predict, and optimize through AI and real-time analytics. If you would like to benefit from our expertise in these areas or if you have further questions on the content of this article, please do not hesitate to contact us.

 

Demand for Smart Cars and Smart Cities Boosts AI Chip Market!

According to a new report, major consumer demand for smart cars, smart homes, and other buildings in “smart cities” is driving significant expansion in the AI chip market.

“Smart cities” are the latest growth area in AI. A “smart city” refers to a city that uses digital or information-communication technology to improve the comfort and efficiency of human life. One strategy for urbanization that aims to achieve sustainable growth is making cities equipped with cutting-edge features for residents to live, walk, shop, and enjoy a safer and more convenient existence – much of which is now being driven by AI.

For instance, in March 2022, Saudi Arabia launched a new smart city project in Jeddah for light industries and auto repair, opening the first two stages of the city, the second of which is a 350-square-mile labor city. A total of three thousand square miles is covered by the Smart City initiative. Further, According to Saudi Vision 2030, a Saudi Arabia-based strategic framework, the city is distinguished by an interconnected infrastructure and the application of digital and smart technology to offer automated services to customers.

According to The Business Research Company’s Artificial Intelligence Chip Global Market Report 2022, the increase in demand for smart homes and smart cities is driving significant artificial intelligence chip market growth. Per the report, the global artificial intelligence chip market size is expected to grow from $10.55 billion in 2021 to $15.01 billion in 2022 at a compound annual growth rate (CAGR) of 42.3%.

The press release went on to say that technological advancement is a key trend gaining popularity in the artificial intelligence chip market. Major companies in the artificial intelligence chip market, like NVIDIA, are advancing in their new technologies and focusing much of their R&D specifically on AI chips, such as the development of NVIDIA A100 chips which have been designed to streamline AI training and inference and improve efficiency.

The report also said that the major players in the artificial intelligence chip market are Intel Corporation, Mediatek Inc, NVIDIA Corporation, Qualcomm Technologies Inc, Advanced Micro Devices Inc, Alphabet Inc, NXP Semiconductors NV, Micron Technology Inc, IBM Corporation, Apple Inc, Huawei Technologies Co. Ltd, Mythic Inc, Samsung Electronics Co. Ltd, LG Corporation, and Google LLC.

North America was the largest region in the artificial intelligence market in 2021. The regions covered in this artificial intelligence chip market research are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa.

The report also gives an in-depth analysis of the impact of COVID-19 on the market. The reports draw on 1,500,000 datasets, extensive secondary research, and exclusive insights from interviews with industry leaders.

AI and CarTwin

In addition to increasing demand for smart chips for fully autonomous vehicles, the other major impact that AI is having on the automotive and transportation industry is in the use of cognitive digital twin technologies for predictive maintenance. Digital twin solutions like those developed by CarTwin extend the lifespan of cars and other vehicles by monitoring the vehicle’s “health” through its “digital twin.”

Basically, CarTwin can provide diagnostic and predictive models for all vehicle systems for which data is available (either directly or indirectly) onboard the vehicle.

Virtually any part of the vehicle that has sensors or that sensors can be developed for can be “twinned.” These data sets are then enhanced and augmented with design and manufacturing data that is already available by the OEM.

Primarily designed for use in fleets of vehicles, in combination with powerful AI models, CarTwin predicts breakdowns, monitors and improves performance, and measures and records real-time greenhouse gas emissions, which reduces expensive maintenance costs and avoids lost revenue associated with fleet downtime.

It is very likely in the not-too-distant future, as fully autonomous vehicles replace human-driven fleets of over-road cargo transportation and taxis and limousine services, that technology such as CarTwin’s will also be incorporated into the algorithms to keep these vehicles not only self-driving but safe and on the road longer.

Rohit Mahajan; is a Managing Partner at BigRio and the President and Co-Founder of Citadel Discovery. He has a particular expertise in the development and design of innovative AI and machine learning solutions for clients in Healthcare, Financial Services, Retail, Automotive, Manufacturing, and other industry segments.

CarTwin has leveraged AI and Digital Twin technologies to create a digital, cloud-based clone of a physical vehicle designed to detect, prevent, predict, and optimize through AI and real-time analytics. If you would like to benefit from our expertise in these areas or if you have further questions on the content of this article, please do not hesitate to contact us.