Face AI Coming to Cars?
What Artificial Intelligence Means for the Automotive Industry
Artificial intelligence (AI) is revolutionizing the automobile industry. The dream of self-driving cars may receive all the hype, but the reality of automobile AI includes so much more — and it will be upon us much sooner.
For starters, drivers and passengers may soon rely on artificial intelligence for, well, their starters. Push to start and keyless entry has already become widespread, and we may see even more AI tech involved in vehicle security and operation.
That, of course, isn’t all. To get an even better understanding of what’s to come, let’s explore what AI applications consumers may expect to see in their cars in the next five years — from drastic changes to small conveniences.
AI in Transportation Use Cases
As in other walks of life, artificial intelligence has the power to disrupt much about how the automotive industry works. Even things that seem set in stone could soon be transformed. Specifically, the following represent just a few of the most exciting changes coming to the automobile of the future.
Driver Monitoring
Advances in AI monitoring can now extend to a driver’s emotional state. Research into emotional artificial intelligence could allow integrations that check to see if drivers are alert, calm, and focused. AI can monitor the subtle signs of fatigue or agitation in real-time and make lightning-fast adjustments to improve driving performance in the moment.
Three-dimensional and infrared cameras can record driver movements down to the most subtle changes, triggering adjustments such as lowering music volume, blasting the air conditioner, and — one day — transferring control from the driver to the car itself.
This type of responsive AI could make driving safer and provide car manufacturers with a competitive edge in a category increasingly important to consumers and families. Driverless cars have been involved in high-profile accidents, but the reality is that human drivers cause many, many more. A partnership between the human driver experience and machine learning (ML) capabilities could usher in an era of unprecedented roadway safety.
Driver Analysis
Driver monitoring handles what’s happening moment to moment. But an even greater use of machine learning lies in driver analysis. As drivers continue to interact with AI, algorithms begin to learn more about each driver’s norms. It can detect smaller and smaller deviations from that norm over time and make decisions that prevent the conditions that lead to accidents in the first place.
In short, driver analysis has the potential to create better drivers — not just momentarily safer ones. Machine learning creates a symbiotic relationship between the artificial intelligence located in the car and the human driver, down to our personal tendencies and common mistakes.
Analysis like this is only possible thanks to compression algorithms that reduce processing load and provide real-time insights. This is a next-level innovation that will take us beyond short-term safety and allow us to take a long-term approach to improving driving behavior.
Car AI: Privacy and Inclusivity
One enormous obstacle to automobile AI is public trust. People are wary of robots “spying” on their movements — and rightfully so in many cases. On top of this, high-profile problems, such as prioritizing male drivers over female ones or failing to recognize dark skin in obstacle training, could undercut the value AI brings to traditional driving.
New artificial intelligence models must consider the ways that bias creeps into algorithms. When training data doesn’t include enough variation, machines sometimes learn to replicate the bias of the developers that created it. That’s why reducing bias must start at the very beginning if we want to actually see better results and make driving safer.
AlgoFace’s AI is built on these principles. We intentionally use data from inclusive samples to create datasets that reduce the risk of dangerous implicit bias.
AlgoFace’s tech also features Identity-Free Biometrics, a system that detects crucial components of the human face without detecting a specific identity. This key distinction would allow AI-driven safety features to keep a driver safe without violating privacy laws like the European Union’s General Data Protection Regulation (GDPR) or California Consumer Privacy Act (CCPA).
Even better, our technology operates “on the edge,” meaning right in the car in real time. This processing style reduces the distance sensitive information travels and mitigates any potential security loopholes.
Building Safer Cars with AI Partners
Despite the increase in data available to on-device processors, this doesn’t mean drivers can expect slower performance. Compression algorithms, such as those pioneered by AlgoFace, reduce the processing load, allowing drivers to experience everything artificial intelligence has to offer at lightning speed.
The next generation of cars may not necessarily be self-driving, but they will make driving a safer and more enjoyable prospect for every type of driver. AlgoFace is on the cutting edge of this integrative technology and believes that cars can be safer while respecting driver privacy.
An exciting new era of driving is on the horizon. And it will help create a symbiotic relationship between humans and artificial intelligence to making driving safer — and better — than it’s ever been before.
Want to learn even more? Discover for yourself what on-the-edge, unbiased visual intelligence can do. Request a free trial of AlgoFace’s FaceTrace™ SDK.
