Panasonic Corporation will begin offering an application programming interface (API) for its facial recognition technology to the market in Japan.
The API enables deep-learning powered facial recognition technology via a cloud-based service. It has been developed to recognize the whole face and certain parts of the face through the integration of multiple deep learning technologies.
A proprietary Panasonic algorithm performs a degree of similarity calculation method for matching faces and controlling errors caused by photographic conditions.
The technology is designed to overcome previously presented challenges to facial recognition, such as when the face is seen from an angle, in difficult lighting conditions, or when the face is partially covered by sunglasses or a surgical mask.
Panasonic’s deep learning-based facial recognition technology can now be used simply by opening the API, making it possible to incorporate the technology into customers’ smartphone applications, websites, and building access management systems. This will enable entry/exit management at multiple business sites, streamline movement within offices or work sites, and could prevent identity theft. The facial recognition API is a micro service within Panasonic’s µSockets B2B IoT service which is currently available in Japan.
By adding an API to its facial recognition service lineup, Panasonic has the advantage of being able to offer both on-premises and cloud-based solutions to match its customers’ business requirements.
