Facial recognition

Facial recognition is a software application that enables biometric devices to identify individuals’ biometric features using facial specification.
The facial recognition application is used to scan, store, identify, and verify the features of human faces by associating the digital images with those that are saved in databases.
Facial recognition identifies a person by comparing the person’s image with that stored in the database, thus providing a high level of security.

In Panasonic Innovation Center, and facial recognition was a key element of its work. This often-heard about but elusive technology is being further developed to play a role 
in helping marketers understand the demographics of who is looking at what products and how consumers shop a store’s department, as well as how operators can better understand traffic patterns.

According to TechCrunch, KFC in China is working on a new “smart restaurant” that will use facial recognition and factors such as age, gender and facial expression to suggest items a customer may order. 

How does it work? The image recognition scans a customer’s face, looking specifically for information it can use to generate a food recommendation.
It’s interesting because it goes well beyond the typical demographics – age, gender, race, etc – and will infer one’s mood and detect repeat customers to provide suggestions based on their order history. 

According to KFC’s tech partner, Baidu, a young adult male may be recommended a “crispy chicken hamburger, roasted chicken wings and Coke” for lunch, while a female in her 50s might be suggested “porridge and soybean milk for breakfast.”