施华洛世奇在CES 2024会场中推出的Optik AX Visio望远镜，售价高达4799美元，声称是世界上第一台能够实时识别9000种鸟类的双筒望远镜。这款10 x 32望远镜拥有10倍放大倍率，续航最长15小时，内置NPU神经处理芯片，能够辨认出9000种鸟类，并能够实时标注鸟类种类及信息。
这款望远镜的问世，为鸟类观察者提供了全新的体验。过去，鸟类观察者需要依赖专业知识和经验来识别鸟类，而现在，只需将望远镜对准鸟类，AI系统就能迅速识别并显示鸟类的种类和信息。这一功能的加入，不仅使望远镜更加智能化，也让鸟类观察变得更加简单和便捷。
据施华洛世奇介绍，Optik AX Visio望远镜的AI系统是通过大量数据训练而成，能够识别各种鸟类的特征，包括羽毛颜色、体型、飞翔姿势等。此外，该望远镜还具备一些传统望远镜所不具备的功能，如实时标注鸟类种类及信息，以及长达15小时的续航能力。
这款望远镜的问世，无疑为鸟类观察者带来了全新的体验。然而，高达4799美元的售价，也让许多人望而却步。不过，对于那些热爱鸟类观察，追求高科技产品的消费者来说，这款望远镜无疑是一个值得考虑的选择。
英文翻译：
Swarovski launched the Optik AX Visio telescope at CES 2024, boasting a price tag of $4,799 and claiming it to be the world’s first binocular telescope capable of identifying 9,000 bird species in real-time. This 10 x 32 telescope offers a 10x magnification, up to 15 hours of battery life, and features an NPU neural processing chip,声称 it can recognize 9,000 bird species and provide real-time labeling of bird types and information.
The introduction of this telescope brings a new experience to bird watchers. In the past, bird watchers relied on professional knowledge and experience to identify birds, but now, with the AI system of the telescope, it can quickly identify and display the type and information of the bird just by aiming the telescope at it. This feature adds intelligence to the telescope and simplifies bird watching.
According to Swarovski, the AI system of the Optik AX Visio telescope is trained through a large amount of data and can recognize the features of various birds, including feather color, body size, and flying posture. In addition, the telescope has some functions that traditional telescopes do not have, such as real-time labeling of bird species and information, as well as a battery life of up to 15 hours.
The launch of this telescope undoubtedly brings a new experience to bird watchers. However, the high price of $4,799 may deter many consumers. Nevertheless, for those who love bird watching and pursue high-tech products, this telescope is undoubtedly a worthy consideration.
【来源】https://www.ithome.com/0/744/784.htm
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