The average system user doesn’t strictly adhere to the basic rules of good password management. User indifference and ignorance have been at the heart of numerous successful hacks. It’s this vulnerability that has spurred the rapid rise in biometric authentication.

Biometrics are a welcome replacement to the tedious, inconvenient, clunky and forgettable traditional systems of user authentication. It started off with fingerprinting but face recognition is fast gaining traction in many fields. Here are a couple of practical examples.

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Personal Devices

Personal portable devices are the first place most people will run into face recognition software. Mobile phones are convenient to move around with but that also means they are more likely to fall into the wrong hands compared to desktop computers.

Facial biometric identification means even if an unauthorized party takes the phone, they cannot access the content thus rendering the phone worthless to everyone except individuals with advanced tech knowledge.

Data Security

Face recognition is already being used to protect user data on smartphones. Naturally, it’s success in this niche will only inspire its adoption in the wider universe of data security. With hackers and malware constantly evolving their tactics in their attempt to gain access to sensitive information, more robust security tools are badly needed beyond monitoring the log server.

Biometric authentication could help protect confidential data from malicious parties and may even be used in combination with traditional access control methods such as passwords (a technique referred to as two-factor authentication).

Car Security

Face recognition may have gained substantial traction with mobile devices but it will certainly not stop there. Thanks to the Internet of Things, smartphones are just one class of node in an ever expanding interconnected ecosystem of internet-enabled items. Among your possessions that could benefit from facial recognition, few are stronger candidates than your car.

It’s still early days though but with one car maker already working on software that recognizes the walking gait of its owner, it won’t be long before face recognition becomes an indispensable tool for auto security.

Targeted Ads

As far back as 2013, UK grocery giant Tesco rolled out targeted ads that detected the age and gender of customers. Using a screen fitted with face recognition software, Tesco aimed to deliver more relevant ads for the benefit of both customers and the retailer.

Other retailers eventually followed suit and have deployed applications that evaluate customers as they walk into their stores, changing the content of ad display screens to suit anticipated customer preferences.

Customer Feedback

For a long time now, communication experts have acknowledged the ability of body language to more accurately convey a person’s views, feelings and intentions than verbal expression. Facial expressions are perhaps the most accurate form of body language. Companies are exploring ways of leveraging the power of facial recognition to determine the levels of user engagement.

Smart ad boards with this functionality were trialed in London in 2015. Retail behemoth Walmart is said to be looking at developing proprietary face tech that delivers deeper granular insights into levels of customer satisfaction. Eventually, face recognition customer feedback may become standard for major retailers.

Audience Concentration Tracking

Humans have a finite capacity for concentration. Whether its students in a classroom, employees in a workshop or industry professionals attending a seminar, people can only listen to a lecture or presentation for a limited time before they start drifting off or dozing.

Once you’ve breached the window of concentration, continuing with the presentation or class has little to no benefit. Paris School of Business is using a biometric software in this way not to chastise people but to get to know the degree of actual learning per classroom session and how to maximize instructor productivity.

As these examples demonstrate, face recognition isn’t a tech that’s far removed from everyday application. There are numerous ways it can make life’s routine processes easier.

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