Tupu Technology

Tupu Technology is a high-tech enterprise specializing in AI image recognition technology. The company was founded in Guangzhou in 2014 by Mr. Li Mingqiang, an artificial intelligence expert from the Guangdong-Hong Kong-Macao Greater Bay Area and a T4 technical expert at Tencent. Known for the practical application of image recognition technology, the company leverages advanced artificial intelligence and computer vision to rapidly implement applications in three major fields: intelligent review of internet and converged media content, business intelligence management in new retail (covering 'people, goods, and places'), and AIoT intelligent control. Currently, Tupu Technology processes an average of 2 billion image recognition tasks daily, with a cumulative total of over hundreds of billions of images processed. Relying on its technical algorithms, innovative products, strong engineering implementation capabilities, and high-quality services, Tupu Technology has secured stable cooperation with hundreds of well-known enterprises and government agencies, including CCTV, People's Daily, Thunder, Meitu, Kugou, Aihuishou, OPPO, Miniso, Midea, Chanel, and Li-Ning. Product Introduction - Internet AI Cloud Services: Tupu Technology utilizes its self-developed core AI technologies to review and filter content on internet platforms across images, text, and audio dimensions, provide precise recommendations based on user reading habits, and offer customized deployment solutions tailored to platform operation scenarios. - New Retail BI Solutions: Using AI vision technology, Tupu Technology establishes a tripartite pre-sales data model around 'people, goods, and places,' helping stores achieve operational digitalization and consumer insights, and facilitating upgrades in products, operations, displays, and marketing to boost sales performance. - General Security Solutions: Based on facial recognition and image recognition technologies, these are widely applied in campus, commercial, construction site, water utility, and public security sectors, addressing needs such as facial access, identification of suspicious individuals, real-name authentication, and deployment and alerting for key persons.