Get ready for a wave of human-centric sensors

Putting sensors in cars is nothing new. Automakers first introduced basic sensors such as low oil pressure warning lights in the 1950s. It was simple engineering, but the sensors effectively warned drivers of potential problems. As technology has evolved, so have sensor capabilities and their applications in the automotive industry.

By 2020, the average car will have nearly 100 sensors (F1 race cars have over 300 sensors), and this number is expected to keep growing. Sensors are the basis of safe driving. Sensors keep us on the move and help us avoid catastrophic accidents.

But are our sensors ignoring us, one of the most important pieces of the puzzle?

Until now, car sensors have focused on the outside, assessing aspects of the car itself and the surrounding environment. Think about what sensors are monitoring in your car: tire pressure, fuel level, speed, lane position, parking angle.

However, this dynamic is changing with the growing popularity of driver monitoring systems (DMS), which add AI-powered intelligent safety features to vehicles that can detect driver conditions and behavior.

For example, DMS can determine if a driver is experiencing symptoms of illness or nausea, and adjust air conditioning or aromatherapy, just as cruise control slows or accelerates the vehicle depending on the actual situation. You can course-correct the in-vehicle experience through controls such as release. Time sensor input.

Additionally, through multimodal AI solutions, automakers can combine internal and external sensor intelligence to improve vehicle performance.

Consider a scenario where the driver is behind the wheel and is getting sleepy. Conventional external sensors detect signs such as lane departure and warn the driver.

But wouldn’t the situation be safer if a combination of optical and physiological sensors also detected signs of driver drowsiness? Detect a drop in count or other factors that indicate fatigue.

This internal and external input triangulation can work together to determine unsafe driving and intervene to stop the vehicle or call for help.

A world without speedometers?

Extending DMS in automobiles has many advantages. First and foremost, it improves driver safety. A better understanding of driver conditions reduces road accidents and fatalities.

Second, multimodal interior sensors bring a new era of health and wellness to cars by giving people inside the car a clearer understanding of what’s going on.

Technology not only makes driving safer, it also improves it for our bodies and minds. And finally, AI solutions boost a more engaging and enjoyable driving experience.

Of course, some drivers are skeptical about having AI (or better yet) in their cars. However, new laws and regulations protect consumer privacy.

And automotive multimodal sensors work in real time. In other words, the car only uses the collected data to make in-the-moment inferences and suggestions, but it doesn’t store the data long term or in the cloud.

Overcome the annoyance of AI sensors

The first annoyance with increased AI may be the trade-offs for making the roads safer, but the pros certainly outweigh the cons.

Over time, AI sensors will feel as natural as fastening your seatbelt, serving as yet another powerful tool for optimizing the driver and passenger experience. .

Years from now, you will look back and wonder how you would have operated a car without in-vehicle sensing that focused on the driver and passengers.

It would feel like driving a car today without sensors that indicate fuel level or speed. It is unimaginable.

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