In the race to prevent another pandemic situation, Jaguar Land Rover is working with the University of Cambridge to develop a new Predictive Technology to curb spread of bacteria and viruses.
The threat of Covid-19 has been reduced in certain countries, but we are not out of the woods yet, as far as the pandemic is concerned. In Malaysia, the government has issued stern instructions requiring people to wear a mask out in the open and observe social distancing.
With this in mind, Jaguar Land Rover is working with the University of Cambridge to develop a new contactless technology for cars. This new tech will help keep drivers’ eyes on the road and reduce the spread of bacteria and viruses in a post Covid-19 world.
The patented technology, known as ‛predictive touch’, uses artificial intelligence and sensors to predict a user’s intended target on the touchscreen, whether that’s satellite navigation, temperature controls or entertainment settings, without touching a button. This is part of Jaguar Land Rover’s Destination Zero vision, a desire to make its vehicles safer and the environment cleaner and healthier.
A relevant Technology in the New Normal
The Jaguar Land Rover (JLR) – Cambridge collaboration has yielded a a greater emphasis on safe, clean mobility where personal space and hygiene are the ‘new norm’. Jaguar Land Rover vehicles are already designed to help improve passenger wellbeing, with innovations including a Driver Condition Monitor, engine noise cancellation and cabin air ionization with PM2.5 filtration to capture ultrafine particles and allergens.
New technology like predictive touch is another step forward in terms of mobility, from how customers connect with mobility services, to the infrastructure required to enable fully integrated, autonomous vehicles. The new predictive touch technology developed by JLR and Cambridge could reduce a driver’s touchscreen interaction effort and time by up to 50%, as well as limiting the spread of bacteria and viruses. In the lab and road tests, the engineers have found out that uneven or poor road surfaces can often cause vibrations that make it difficult to select the correct button on a touchscreen. This means drivers must take their attention away from the road, increasing the risk of an accident.
The new predictive technology uses artificial intelligence to determine the item the user intends to select on the screen early in the pointing task, speeding up the interaction. A gesture tracker uses vision-based or radio frequency-based sensors, which are increasingly common in consumer electronics, to combine contextual information such as user profile, interface design and environmental conditions with data available from other sensors, such as an eye-gaze tracker, to infer the user’s intent in real time.
This software-based solution for contactless interactions has reached high technology readiness levels and can be seamlessly integrated into existing touchscreens and interactive displays, so long as the correct sensory data is available to support the machine learning algorithm. It is expected to be fitted into Jaguar Land Rover cars, moving forward.