Facial recognition technology has been around for quite some time and brands of all shapes and sizes, and across all sectors and industries, have been using it to their advantage to drive customer engagement, showcase their goods and services, and really gain an edge over their competitors.

But it seems as though the technology is being developed even further, with innovators now looking into emotion recognition as an option – which could help give your brand an even bigger boost if used effectively.

Image processing practices have evolved so significantly over the last ten years or so that software can now be used to evaluate the emotions showing on someone’s face, as well as micro-expressions and body language cues… which could be very useful indeed if, for example, you want to gauge reactions to new products, experiences or even your brand itself.

As well as being used to test customer reactions, emotion recognition technology can also be used in the job recruitment process, for security purposes, in education, by the police… the applications are essentially endless, although there have been some concerns voiced that its use is invasive and potentially harmful, so if you’re intrigued by the benefits, it would perhaps be wise to make sure that your customers are aware that the technology is being utilised.

The uses of this kind of technology are evolving pretty quickly, however, so if you do want to stay one step ahead of the competition, it might be worth seeing how you could adopt it.

A recent Gartner article explained that video games are now using it to detect emotions to adapt game play in real time, doctors are using software to diagnose diseases through voice analysis and computer vision technology is being used to improve car safety, with alerts triggered for drivers based on their emotional state.

Despite the potential issues relating to privacy and bias where this technology is concerned, research from Markets and Markets shows that that the global emotion detection recognition market size is predicted to grow from $19.5 billion in 2020 to $37.1 billion by 2026, driven by uptake of artificial intelligence, machine learning and the Internet of Things, as well as deep learning technologies.

Given these projections, investigating the possibilities of emotion recognition technology now could well be a good idea, so you can pave the way in your chosen field and really boost engagement with customers, marketing your products more effectively and ensuring that people are given what they truly want.

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