In recent years, biometric tools like facial recognition technologies have witnessed some groundbreaking innovations. From unlocking your mobile phone to automatically tagging photographs to diagnosing patients with genetic conditions, the possibilities are now endless.
The research firm Markets and Market expects the global facial recognition market to be worth $8.5 billion by 2025. However, the success of all these face recognition tools depends largely on adequate training data. In this scenario, the more extensive and more inclusive the data is, the better.
But before we get ahead of ourselves, let’s first define it.
According to an old saying, you can only find real truths in diaries. Modern market research makes use of this wisdom. A diary that relates to the use of a device, app or software can provide valuable insights for marketing. How do diary studies work and what makes them so successful?
Computer vision technology powered by Deep Learning (DL) provides real-world value across industries. Such intelligent technologies have been around for a few years, and it’s finally coming of age and rising in prominence.
In fact, computer vision is precisely what makes driverless cars possible. However, there’s a myriad of possibilities and use cases, including the augmentation of human sight.
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