Usage Examples for Recommendations
Image Sensing can estimate age and gender, and identify pre-registered individuals. This can be used to pick up goods matching age and gender properties, or information on registered clients, and add features in various equipment that will offer recommendations. This will make audio, TV or karaoke equipment, vending machines or digital menus in restaurants even more convenient.
Here are Image Sensing usage examples for recommendations.
Image Sensing technology can be used to remember the faces of users. This technology can be used in services dealing with customers, like online shopping or restauration.
For example, face recognition features can be used to recommend items to recognized frequent customers based on their past choices.
Provide detailed attention to customers by pre-registering their client information with Face Recognition.
Using Image Sensing technology like face recognition to remember a customer's face can increase convenience in stores or restaurants.
For example, the data about customers can detail their previous purchases or age group, offering information to employees on what to recommend and how to provide a better service.
Image Sensing technology can be used to improve the home appliances of our daily life.
Incorporating face recognition to televisions will offer personalized viewing history, information and program recommendations.
Image Sensing technology can be used to improve the home appliances now essential to our daily life.
For example, most of us have likely experienced missing the start of a program while searching for the right channel on the television.