Visual Recognition Powered by
Computer Vision and Deep Learning

Viscovery Visual Intelligence Technology

Object Recognition

Viscovery detects and recognizes a wide range of objects, including retail products, clothing, accessories, eletronics, transportation, and even different kinds of bread.

Object recognition could be used in self-checkout system for both packaged and non-packaged goods in retailing, in search-by-image or recommend-similar-products service in e-commerce, and even used for workplace safety, recognizing if personnel are wearing protective equipment. The model is able to precisely tell the position and proportion of an object in images and videos.


Face Recognition

Viscovery detects and tracks human faces in images and videos, even with interferences, including partial blocking or slight lighting changes, and recognizes the age, gender as well as emotion. Besides, Viscovery groups similar faces in a large number of visual collections and compares faces with a confidence score to build face index, verify face feature, and evaluate similarity.

Scene Recognition

Viscovery supports common indoor and outdoor scene recognition, and is able to overcome the interference of light and shadow. Suitable applications include: automatic image/video categorization and image/video scene search.

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General-purpose Recognition

Viscovery's general-purpose classifier recognizes more than 10,000 kinds of common object, scene, and abstract emotional description. We help you tag and classify your visual big data.