How “AI” is Improving Road Safety

How “AI” is Improving Road Safety

The numbers don’t lie:

Since the commencement of automobile commercialization and use throughout the past two centuries, an inevitable result of the popularization of the modern car has been the plethora of on road incidents occurring in lieu.


In recent years, the World Health Organization has reported an astonishing 1.25 million road accidents to have occurred globally. These accidents were the leading cause of deaths of young people, being the main cause of death of individuals aged 15-29.


Furthermore, traffic accidents were determined to be the ninth leading cause of deaths worldwide, with that number poised to become the seventh leading cause of death within the next 10 to 11 years.


Needless to say, road safety has become a concern not only to families with young adults beginning their foray into “road independence” but for automobile manufacturers whose main ambition is not purely financial success but safeguarding the welfare of drivers.


The advancement of tech:


Despite the troubling statistics mentioned, an encouraging rise has also occurred in the area of “user experience” tech and artificial intelligence’s (AI) permeation through all facets of human life. One need only look at voice command systems such as “Alexa” or “Google Home” to see how technology has married AI and human necessity to create solutions that improve the quality of life of individuals, even if it’s only to play their favourite song, hands free.


This coupling has also made its way into the automobile industry, where vanguard names such as Tesla, Isuzu, Toyota (and of course Hanhwa) partner all available tech advancements with human pain points particular to the road; principally, the need for absolute road safety and the closing the gap for human error in achieving this.


AI and road safety: The future


Some advancements that have already assisted in improving road safety for drivers can be seen with the advent of reverse cameras installed in commercial cars. Enhancing the surrounding visuals through the use of additional screens and computer generated graphics have been monumental in increasing hazard perception behind the wheel.


While AI has also been used in the area of creating unmanned automobiles (or driverless cars) this has led to less than favourable results, with much work needed to be done. HOWEVER, much of the effort exerted in creating autonomous cars has been used in improving the safety of manned automobiles.


This can be seen with “computer vision”, a facet of AI deep learning, which basically allows software to analyze the performance of drivers and provide a measurement score for this said performance. Results can lead to specific actions such as warning drivers of their behavior and also providing alternatives to their current behaviours. Such engagement and coaching could prove vital in saving the life of a driver who has fallen asleep behind the wheel or missed a visual cue of the speed limit in a volatile area.


Such innovations will be vital in assisting automotive companies in stopping catastrophic events from occurring on the road in their vehicles. They’ll also assist in the reputation of their brand and company longevity. This is so, as the more a company invests in improving the safety of drivers utilizing their automobiles, the less problems will arise with avoidable issues such as victim compensation costs and property damage disputes. Such goodwill is invaluable in securing their standing in the community and at the forefront of their industry.


With these points in mind, Hanhwa is an ardent believer in focusing on both partner ambitions as well as road safety for everyone involved. Contact us today to speak with one of our specialists on how we can create a unique manufacturing solution for your goals. We’re keen to meet you to discuss your objectives and take your results above and beyond.


No Comments

Sorry, the comment form is closed at this time.