Jaguar Land Rover has teamed up with the University of Cambridge to develop a new “contactless” touchscreen technology that will help drivers focus on the road and help reduce the spread of bacteria and viruses after the COVID-19 outbreak ends, foreign media reported.
The patented technology, called predictive touch, uses artificial intelligence and sensors to predict which user wants to click on specific targets on the touch screen, such as satellite navigation, temperature control, entertainment settings, and more, so that users don’t have to touch a button.
Developed by engineers at the University of Cambridge, this ground-breaking system is part of Jaguar Land Rover’s “Zero Emissions, Zero Accidents, Zero Congestion” “Destination Zero” vision, which aims to make Jaguar Land Rover cars safer, cleaner and healthier.
In the “new normal” after the lifting of the embargo around the world, greater emphasis will be paid to safe and clean modes of travel, which will provide an advantage to personal space and hygiene. Jaguar Land Rover’s automotive design has been dedicated to improving passenger health, with innovative technologies including Driver Condition Monitor, engine noise elimination technology, and cockpit air ion ion systems that capture ultra-fine particles and allergens and are equipped with PM2.5 filtration. New technologies such as predictive touch are jaguar Land Rover’s attempts to further address broader issues in the travel sector, from how passengers connect to travel services to the infrastructure needed to achieve fully integrated self-driving cars in cities, such as the Project Vector project.
The predictive touch technology, which has been laboratory tested and road tested, shows that it can reduce the time and effort drivers spend on touch-screen interactions, save up to 50 percent of their time and effort, and limit the spread of bacteria and viruses.
When the road is uneven or in poor condition, it usually causes the vehicle to vibrate, making it difficult for the driver to select the correct button on the touch screen, which also means that the driver needs to shift his attention from the road to the touch screen, which also increases the risk of traffic accidents.
The technology uses artificial intelligence to determine which button the user wants to select before pointing to the touch screen, speeding up the interaction. Gesture trackers use visual or radio frequency-based sensors, which are increasingly common in consumer electronics, to infer a user’s intent in real time by combining context information such as user data, interface design, and environmental conditions with data from other sensors, such as eye-watch trackers.
This software solution for contactless interaction has reached a level of technology that can be put into use at any time and can be seamlessly integrated into existing touch screens and interactive displays, as long as the right sensor data is available to support the machine learning algorithm.