Li Weike releases integrated artificial intelligence AR glasses Meta Lens S3

[CNMO News] Recently, the 2023 China VR/AR Industry Expo was held in Shanghai. At the meeting, Li Weike officially released its first all-in-one artificial intelligence AR glasses "Li Weike Meta Lens S3". According to reports, the product is integrated into Li Weike's self-developed AI large model system, and integrates functions such as music, phone calls, navigation, photography and chat, and sports data recording for outdoor cycling and sports scenes. The glasses were officially launched on November 1st, with the first launch price during Double 11 being only 1,999 yuan.

According to CNMO news, the released new product Meta Lens S3 has been upgraded in many aspects compared to Meta Lens S1 and Meta Lens S1 Pro. The most eye-catching thing is that Meta Lens S3 achieves an ultra-long battery life of 6 to 8 hours and supports 4K quality video recording, which truly solves the product function issues that cycling enthusiasts are most concerned about. At the same time, Meta Lens S3 has also added the function of supporting external cadencers, heart rate monitors and other devices, playing a greater role in more outdoor scenes

Ru Yi, the founder/CEO of Li Weike, said that AR glasses are expected to become the "next generation computing terminal", and the interactive capabilities of AI will also become the core capabilities of AR glasses. The in-depth combination of the two will make AR glasses a truly smart device that seamlessly integrates into people's lives, rather than just a toy closest to the head.

It is revealed that Li Weike’s team is currently deeply integrating large AI models into AR glasses to provide a smoother interactive experience. It is reported that Li Weike has established an AI understanding and cognitive model that is "heavy on the cloud, light on the client, and integrated with the cloud." By understanding scene data and user data, and performing parameter tuning and optimization, an AI brain based on cognitive, reasoning, service, task and other models is built on the "cloud". The brain realizes real-time response to user needs by connecting cloud services and applications such as user understanding, interactive services, API calls, and task responses, and finally through the "end" - interactive carrier digital people and perception carrier AR devices

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