Blog | 21 March 2018

3 predictions for the future of facial recognition and how it will influence content marketing

With the launch of the iPhone X, Apple has put facial recognition on the map. For the first time, it is being recognised on a global scale, which will push Apple’s competitors and inspire technology companies into new frontiers.

Image Source: Apple

Image Source: Apple

On the iPhone X the home button has been removed, a piece of functionality and design created for the first iPhone, launched in 2007. Apple’s dream was always for an iPhone with no buttons. Our lives now revolve around using gestures to operate our devices – but is this about to change?

Apple’s Face ID on the iPhone X works by using a dot projector, which illuminates a user’s face with 30,000 infrared dots to create a facial-depth map. Apple believes staring into your phone is the easiest way to unlock and manage your device, although it comes with security issues, and users all over the web are trying to find flaws.

But, meanwhile, how will this technology influence the future of content marketing?

1. Emotive-driven content

As the growth of facial-recognition cameras are implemented into mobile and Internet of Things (IoT), facial expressions will start to be understood. For instance, if we walk into a room crying or with a frown on our face, the camera in the Amazon Alexa will identify our emotion and may ask, ‘Are you OK? Would you like me to play you some happy music?’

2. Social media is going to watch you scroll

The day technology companies offer an application program interface (API), social media companies will be able to leverage technology like Face ID and will begin to prompt you with such questions as ‘Are you happy for us to use Face ID to improve your experience?’

Social companies will be able to gain a deeper understanding of what content made you smile, what made you angry and what left you unmoved. Facebook, Google and Apple can already identify faces in a photo, but Face ID is leading to real-time content-engagement triggers.

3. Facial recognition will allow marketers to know their customers better

People use a single sign-on to log into third-party apps. If they don’t need to sign up again, they will use their existing accounts, such as Google, Amazon or Facebook. The benefit for tech giants is that they learn something new by the face data being shared back from third-party apps. This data will strengthen their artificial-intelligence algorithms and, more specifically, the facial-recognition technology, helping them to build a better understanding of their customers. Allowing them to target content and ads using an entirely new set of facial-recognition data.

As this facial-recognition technology is rolled out to computers, laptops, mobile, transport barriers, retail stores, and payment and security systems, it will create a hands-free experience we never knew we needed or wanted.

Pares Tailor
Pares Tailor
Director of Digital

Pares is a digital native with two decades of experience. He currently heads the digital department at The River Group and an absolute nerd who loves to play with strategy, content, design, and data; @parestailor.

River Group Companies

Fish helps professional, corporate, charity and consumer member organisations to provide effective communications, build revenues and strengthen relationships with members.

River Sounds services companies globally to create and distribute original podcasts to augment their branding and marketing efforts. What are you waiting for?

Impactful PR for brands that do good things.

The River Data Lab is an operation within The River Group working with brands and businesses to help them better understand their audience and marketing efforts using data and insights.

If you’re not ready to talk to us just now (sniff) but would like to receive an occasional, entertaining and useful amount of contact from us, please drop us your details. We’ll stay in contact by sending you examples of our work, white papers, and views on the content world at large.

Stay up to date

Please wait...

Thank you!