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Case details

Personal device brain

MEGVII旷视合作伙伴-OPPO
MEGVII旷视合作伙伴-诺基亚
MEGVII旷视合作伙伴-vivo
MEGVII旷视合作伙伴-北京银行
MEGVII旷视合作伙伴-中信集团
MEGVII旷视合作伙伴-中国人寿
MEGVII旷视合作伙伴-中移在线
MEGVII旷视合作伙伴-个人设备大脑
Urban brain
MEGVII旷视合作伙伴-博鳌亚洲论坛年会
MEGVII旷视合作伙伴-西北工业大学
MEGVII旷视合作伙伴-南阳理工学院
MEGVII旷视合作伙伴-清华大学
MEGVII旷视合作伙伴-杭州地铁
MEGVII旷视合作伙伴-北京市公租房
MEGVII旷视合作伙伴-凯德集团
MEGVII旷视合作伙伴-华润集团
MEGVII旷视合作伙伴-城市大脑
Supply chain brain
MEGVII旷视合作伙伴-鲜生活
MEGVII旷视合作伙伴-好邻居
MEGVII旷视合作伙伴-科捷物流
MEGVII旷视合作伙伴-心怡科技
MEGVII旷视合作伙伴-供应链大脑
Case details
Personal device brain
MEGVII旷视合作伙伴-OPPO
MEGVII旷视合作伙伴-诺基亚
MEGVII旷视合作伙伴-vivo
MEGVII旷视合作伙伴-北京银行
MEGVII旷视合作伙伴-中信集团
MEGVII旷视合作伙伴-中国人寿
MEGVII旷视合作伙伴-中移在线
OPPO Find X is the first mass-produced 3D structured light-based face recognition application phone in China. In the development of its 3D structured light face solution, OPPO has widely regarded that OPPO provides an attention detection model that includes multi-scale and multi-feature, and Based on the self-developed mobile convolutional neural network ShuffleNet, a self-developed living detection model and an adaptive network and multi-model fusion recognition scheme are developed. Deafsight's 3D structured light solution is not only applied to face recognition unlocking and payment applications. Deafsight also provides customized portrait light effects products for OPPO Find X's cameras and photo albums.
Urban brain
MEGVII旷视合作伙伴-博鳌亚洲论坛年会
MEGVII旷视合作伙伴-西北工业大学
MEGVII旷视合作伙伴-南阳理工学院
MEGVII旷视合作伙伴-清华大学
MEGVII旷视合作伙伴-杭州地铁
MEGVII旷视合作伙伴-北京市公租房
MEGVII旷视合作伙伴-凯德集团
MEGVII旷视合作伙伴-华润集团
In March 2017, the Boao Forum for Asia Annual Conference was successfully held in Boao, Qionghai, Hainan. As the main smart video technology application solution provider at the conference, Contempt builds a dynamic intelligent analysis system based on deep learning and computer vision technology. It has played a positive role in ensuring the safety of personnel management and activities of the conference.
Supply chain brain
MEGVII旷视合作伙伴-鲜生活
MEGVII旷视合作伙伴-好邻居
MEGVII旷视合作伙伴-科捷物流
MEGVII旷视合作伙伴-心怡科技
Fresh Life cooperates with Vision, based on Vision's leading artificial intelligence technology, to digitally upgrade physical stores to help businesses grasp the dynamic trends of customer groups in the store under different conditions, regional heat distribution and commodity consumption preferences. Combined with the existing ERP / CRM and other data of retail companies, the fused data is modeled through deep learning to intelligently solve the problem of what products need to be purchased in the store, when and how many items to purchase; and can help stores build users Group favorite portraits, to achieve user consumption recommendations in different scenarios.
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