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Computer Vision on AWS
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Using facial recognition is one of the most natural ways for humans to identify one another. Our primate eyes instinctively detect metadata, such as the person’s age, emotional state, gender, and identity. Numerous business problems are solvable using this information to build personalized experiences.
Las Vegas casinos and hotels are rife with examples. First, they want to greet high rollers and other VIP customers immediately. Second, the Nevada Gaming Commission doesn’t allow persons under the age of 21 on the gaming floor. Third, they monitor the emotional state of customers to preemptively route waitstaff and security staff.
Amazon Rekognition’s Facial Detection APIs return bounding boxes, landmarks, and pose information for each face it detects. It also predicts age ranges, emotions, gender, and other properties.
In this chapter, you’ll learn how to do the following:
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