At the MWC 2023 in Barcelona, Huawei unveiled the latest features of its Petal Search mobile search engine, namely the AR search function and On-screen Lens function. These powerful features cater to users’ needs for text, image, and object recognition in a variety of scenarios, such as travel and entertainment. Petal Search boasts deep learning and large-scale machine learning technologies, which enable it to recognize hundreds of thousands of objects from dozens of categories in just centiseconds. Moreover, the search engine supports translation between multiple mainstream languages, making it a valuable tool for international users.

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Statistics from Statista show that global paying users of AR-related services have grown at a compound annual rate of 64% between 2020 and 2022. In response, Petal Search has upgraded its AR search capability, allowing users to identify objects in real-time without taking photos. This feature utilizes advanced models based on hundreds of millions of data records and tens of billions of images to deliver accurate results in centiseconds. Users can also translate screen content and save translation results on the go using the On-screen Lens function. Petal Search’s comprehensive search capability integrates tools, content, and services, enabling users to securely download apps, check the weather, translation, and exchange rates, and access trending news, video, images, and academic knowledge.

Petal Search has localized features that cater to users in different countries and regions, including an earthquake information card in Latin America. Additionally, the search engine has partnered with over 3000 ecosystem partners to provide users with one-stop services for shopping, travel, and local life. Currently, Petal Search offers services in over 170 countries and regions, supporting more than 70 languages, and complying with the local GDPR standard. As a key component of Huawei’s “1+8+N” strategy, Petal Search will continue to evolve towards a more convenient and intelligent one-stop search experience.

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