The rapid development of technology in the field of

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rifat22##
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Joined: Mon Dec 23, 2024 3:21 am

The rapid development of technology in the field of

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When a new I algorithm or technology is launched, only the I box needs to be updated or replaced without changing the camera itself. Easy to install and maintain: Most I boxes are designed to be plug-and-play and can be connected to the camera through simple network configuration, which is also relatively easy to maintain. . Storage replacement video recorder (VV) that supports I functions. This type of video recorder usually has a built-in high-performance processor or is integrated with an I chip. It can run complex algorithms to directly analyze the video stream.



They can process and identify information such as faces, license mobile number sweden plates, and specific behaviors before or after the video data is stored. At the same time, the I recorder can also continuously optimize its recognition accuracy and alarm according to preset rules. Advantages Intelligent analysis with high accuracy Support alarm Support data collection and analysis Seamless integration with existing monitoring systems No large-scale transformation is required, which is easy to upgrade. Disadvantages Upgrades rely on the manufacturer's software updates and algorithm upgrades. If the manufacturer does not provide adequate support, it may affect long-term performance and function updates.



. The existing monitoring system of the application backend is equipped with the I recognition service platform. After transmitting the video data to the cloud or data center, the computing resources are installed there to run the I algorithm and then the recognition results are fed back to the user or the corresponding alarm is triggered. Advantages Powerful computing power: The cloud or data center has powerful computing resources that can run complex I models to process large amounts of video data. It is suitable for processing high-resolution video streams and deep learning analysis. Convenient algorithm upgrade: Algorithm models and software updates can be centrally performed in the cloud without modifying each front-end device.
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