How AI has been changing the Automotive Industry
1. AI Software for Connected Vehicles
AI and autonomous driving are inextricably linked. Though autonomous driving is making the news in the automotive industry, AI-powered driver assistance is now expecting quite a widespread feature driver in their vehicles.
AI tracks thousands of sensors and can respond to dangerous situations immediately by alerting a driver, braking emergencies or taking vehicle emergency control. Artificial Intelligence and machine learning have also been successfully applied in navigation software, blind-spot detection, and simply making a driver happy, e.g. by changing a seat and mirrors and indicating fun.
2. Predictive Maintenance
AI has recently introduced the notion of' predictive maintenance' into the car industry. In this area, what makes AI a real game changer is the ability to collect and analyze big data from multiple sources: vehicle sensor data, historical maintenance records and weather data.
In this way, AI allows problems to be identified before they impact vehicle activity and avoid unexpected failures when assets operate at their peak performance.
3. Automotive Insurance
The insurance industry has in recent years welcomed the use of AI in connected cars to help access risk in real-time mode and speed up the process of filing a claim if an accident occurs. AI takes the individual driver characteristics and recent events into account rather than simply driving history to construct realistic risk profiles.
Furthermore, technology such as Dingsunbao 2.0, a popular Chinese auto market app, has allowed drivers to carry out their own auto damage assessment for insurance companies using guidance and software.
4. AI in Car Manufacturing
The introduction of AI has had a significant influence on car manufacturing. One of the notable changes of the last few years has been the advent of smart and wearable robots that now operate alongside their human assembly line counterparts, not instead. These interactive robots understand what people do, and therefore change their movements to avoid injuries. Furthermore, AI-powered painting and welding robots are now able to identify material defects and alert quality control staff.
The Automated Guided Vehicle (AGV) is another AI-powered technology that has been used in the development of automobiles. Relying on artificial intelligence and no human assistance, AGVs identify the loaded objects, adjust their routs and deliver materials to various parts of automotive plants.
5. Supply Chain Automation
Artificial intelligence enables not only predictive maintenance but other supply chain processes such as demand forecasting and production planning to be automated as well. For example, FPT-Software has developed AI-powered solutions that can automatically measure the available warehouse space and suggest the best loading options for a specific type of product in a specific warehouse; semi-automated inspection and loading of parcels into the truck, using cognitive visual recognition to automatically count the n items before receiving them in the warehouse.
AI chatbots have also been successfully used to speed up the processes of completing custom documents and order queries.
6. AI software for Driver Monitoring
While some manufacturers focused on helping the driver watch the lane, new AI apps have entered the market that watch the driver. AI software can tell if the driver is in his vehicle as well as change the seat, mirrors and even temperature automatically when one of a car's regular users gets into the driver's seat.
Head position and openness of the eyes allow the software to detect drowsiness and wake the driver up, while recognition of gestures has become a useful way to manage infotainment while writing. During an accident AI software can even assess the upper body location and adjust the deployment of airbags accordingly.