The automotive industry, which has been around for more than a century, has been collaborating actively with new technologies to provide its customers with the safest, most cutting-edge, and most pleasant vehicles possible.
These days, the industry is embracing cutting-edge innovations like the Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), and others, and researching how they may be used in the automotive industry. The automotive industry will develop more quickly in the upcoming years due to the world’s increasing digitization. Some of the ways technology is transforming the automotive industry are listed below:
Digital marketing and sales
The COVID-19 pandemic made us change some of our habits and also brought about new fashion trends. Car companies are now working on creating a digital platform that allows people to have a smooth and immersive experience using virtual and augmented reality.
To make buying and selling cars easier for customers, big car companies have started selling cars online. The pandemic helped speed up this process. This new way of doing things will definitely reduce physical contact. It involves using advanced technology like multi-hybrid cloud network systems, as well as Virtual Reality (VR), Internet of Things (IoT), and Augmented Reality (AR).
Example of Digital marketing and sales
Using AR or VR, many car companies now offer a digital experience for their products. For example, Honda Cars recently launched an online showroom where customers can interact with a virtual car by clicking on different parts. MG Motor India opened a Digital Studio in Bengaluru that doesn’t have any physical cars on display. India Yamaha Motor created an online sales platform in response to the COVID-19 outbreak to try and increase sales. Hero MotoCorp also launched a virtual showroom for their motorcycles and scooters in India.
Biometric Seat Technology
The global market for automotive biometric seat technology is likely to grow as a result of the increasing use of artificial intelligence technology and the incorporation of entertainment systems in vehicles. The development of biometrics is receiving funding from major automakers and digital firms for a range of applications, including personalization, driver monitoring, and vehicle access.
The Biometric Seat operates by using a number of quick-responding sensors that can track the driver’s heart rate, breathing rate, and body temperature. If the car determines that the driver is too nervous or anxious to be operating the vehicle, it can issue warnings based on this information. Sensors built into the steering wheel and seat belts allow for automatic speed control, audible warnings, and emergency service dialing.
Examples of Biometric Seat Technology
Jaguar Land Rover is working on face recognition technology that will let drivers adjust car settings using their facial expressions. In order to stop road accidents brought on by negligent driving, Hyundai Mobis announced the creation of a Driver State Warning (DSW) system with biometric facial recognition and eye tracking in 2011. Mitsubishi Electric Corporation revealed the EMIRAI car at the Tokyo Motor Show. Infrared technology enables biometric chairs to measure the driver’s heart rate using sensors embedded into the seats.
Firmware Over the Air (FOTA) Update
A mobile device’s operating system can be updated using FOTA, a mobile software management method. For phones with FOTA support, the download time is often under 10 minutes.
By enabling developers to distribute updated firmware in a single, quick, and secure way, FOTA streamlines the process of updating mobile device software. This makes it unnecessary to manually download updates for devices and streamlines the procedure.
For Example, it can improve the steering systems of automobiles, simplify driving tasks, improve the way the accelerator pedal responds, make acceleration more linear and comfortable, and more. There was a brake issue with the Tesla Model 3 before it was released to the public. At 100 km/h, the stopping distance was 46 m. The braking distance was reduced to 6 meters after the subsequent OTA upgrade, considerably enhancing driving safety.
Predictive Maintenance
Predictive maintenance (PdM) is a strategy that finds anomalies in your operation and potential flaws in equipment and processes so you can address them before they break down.
Predictive maintenance ideally enables the frequency of maintenance to be as low as feasible to avoid unforeseen reactive maintenance while avoiding the costs associated with performing excessive amounts of preventative maintenance.
Vehicle production and auto repair are two of the auto industry’s most significant applications for predictive maintenance. Costs associated with producing vehicles can be decreased because of AI. A vehicle with machine learning capabilities can also advise owners to schedule maintenance at the right moment.
Examples of Predictive Maintenance
sensors in vehicles gather information on a range of events, including friction, noise, and the gradual warming of equipment. These are the kinds of problems that might gradually ruin a car part. These events are effectively recorded by machine learning algorithms, which also determine how frequently they occur. It then foretells that a certain component of the car has to be improved or serviced in order to prevent a complete breakdown in the future.
Smart Parking
As more and more cities suffer from traffic congestion and a lack of parking, the smart parking sector is constantly growing.
While sensor technologies are still being used to create smart parking, a wide range of additional technical advancements, including cameras, wireless communications, data analytics, induction loops, smart parking meters, and sophisticated algorithms, are also enabling flexible solutions.
Drivers can search for parking places to determine whether and where there are available spaces in real-time thanks to the IoT system of communicative gadgets. Recent IoT technology has even more potential as it grows from a system where vehicles can arrive at multi-story parking lots and see red or green lights above the spaces.
Conclusion
Here are a few of the useful technology found in modern automobiles. In the coming ten years, the automotive sector will undergo more technological advancements as a result of the convergence of connectivity and client needs. Passengers can now use the Internet while in vehicles. The top priorities for automotive brands are innovation and originality in order to increase sales and customer happiness. Automobile manufacturers are utilizing the potential presented by the digital age to incorporate smart technologies that will make driving them easier for you.