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Urbanization has accelerated in recent years, but traditional municipal management solutions have proved ill-equipped to serve modern society due to insufficient digitalization, poor public security measures, and inefficient operations. In smart cities, on the other hand, emerging technologies like artificial intelligence (AI), the Internet of Things (IoT), and 5G have bolstered a diverse range of fields, from public security, to smart campus, and smart community services. Close cohesion between these technologies and business security applications has made daily life substantially more convenient across the board.
Due to traditional low resolution solutions, it's proved difficult to obtain clear images at night or in low light conditions.
Deploying video surveillance, storing information, and transmitting images is a costly process. Video surveillance systems are often ineffective, and not proactive enough.
Identification speeds are low and the identification accuracy is poor.
The integration of HiSilicon's powerful AI algorithms and display technologies has spurred the transformation of city security management from passive video surveillance to proactive warnings, that is, from human vision to machine vision. AI assists with data analysis to ensure that community resources and services are allocated in an optimal manner, and that residents are protected in real time. This technology also comes equipped with features such as facial recognition and privacy code protection, for seamless attendance tracking and convenient office services. By harnessing 5G ultra-high bandwidth wireless transmission and intelligent IPC and DVR technologies, city security management can rely less on fixed networks and leased optical fibers, for substantial O&M savings.
AI algorithms and display technologies work in concert to provide 24/7 image capture, bolstered by intelligent detection, extraction, and object analysis.
8K video provides for a truly stunning level of detail. Thanks to the assistance of AI, bit rates are concentrated on key video content, dramatically reducing storage and transmission costs.
Images are deeply integrated with other perception-related data, such as infrared and sound data. IoT perception devices are crafted to enhance identification accuracy and extract the full value from all available data.
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