Large data analysis company develops "expression operation" technology

Have you ever thought that your happy, angry, sad expression, through the facial expression analysis, may be categorized, summed up, and then become the business analysis of your purchase requirements basis. In fact, as early as 1997, an MIT scholar put forward a technical term called emotional computing. Extended to the present, is the concept of large data. It's usually said that people's faces speak, before you open your mouth, your emotional response, whether it is happy, angry, sad, can be captured through the face recognition system, and then the facial expression classification, the specific context of the scene of the corresponding, you can have a certain degree of analysis of the psychological value.

Leveraging large data to get business opportunities is one of the biggest contributors to the industry. The big data age is changing people's spending habits and rules of thumb to subvert traditional business.

As business competition intensifies, CIOs are starting to focus on large data analysis, and CMO are less likely to abandon useful data and information. Many manufacturers ' marketing departments are not limited to the release of news articles, open product launches, but more attention to the marketing activities, and the premise of these work is a large number of data, and then data integration analysis.

The traditional marketing model is through market research, analysis of user tastes, and then product design, this model is called string marketing. is to understand the user's market behavior, taste preferences and then to design products in turn production and sales, and then form a closed loop, then look at the user experience. Then cleaning the company to make full use of the manufacturer's shelves, through the display of cameras, analysis of the customer's walking route, stay time, and even analyze the customer's eye rotation trajectory, through these analysis, guess the consumer psychology, and determine what kind of consumers. Imagine, the world's Wal-Mart supermarkets, all the cleaning counters have such a camera, analysis of these datasets and synchronized processing, the value of large data is obvious.

People in the industry say Intel has been looking for a lot of face images around the world in recent years, and then processing hundreds of thousands of of images at once to determine how facial expressions can be categorized, and how the expression of a person's face is related to the context of his behavior and environment. This large data processing capability can not be achieved by traditional methods.