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Government CIO Outlook | Tuesday, October 06, 2020
Security systems need the highest level of reliability and speed. As a result, the 5G network is becoming the key enabler of camera based remote video surveillance systems.
FREMONT, CA: 5G networks is to bring various opportunities to the security industry. The faster and robust network would mean more connected and autonomous systems and devices, better quality images, and faster streaming. Video surveillance and the Internet of Things (IoT) are tied together, as products like cameras and recorders have moved to IP and are connected on the internet. 5G networks will unearth the full potential of smart cities. Read on to know more.
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Amid the increasing concern for public safety and security, governments worldwide are pushing for better surveillance in a bid to make their cities safer. As a result, the demand for video surveillance through cameras has accelerated. With innovations in technology and growth in the connected ecosystem, video surveillance systems have predominantly moved to the IP network. This has resulted in a growth in video data traffic and, in turn, the need for advanced network infrastructure like 5G, which can handle a monumental volume of feeds from different sources.
[vendor_logo_first]The ongoing proliferation of 5G networks is bringing in new opportunities to develop the video surveillance market. 5G network undoubtedly provides a more reliable, higher bandwidth, and low latency connectivity for remote video surveillance solutions. Intelligent surveillance systems are mostly deployed to make a place more secure. Most of the smart cameras today are pre-loaded with programs. The AI capability can remediate common tasks like counting the number of people present in the frame, detecting violence in a video, and like that. This complete packaging with 5G and AI can make video analytics solutions a must-have for most industries.
5G surveillance cameras are leveraging artificial intelligence-based solutions, including face recognition, object recognition, event recognition, intelligent image processing, remote asset management, behavioral detection, and analytics, transforming video surveillance into an active threat detection method that governments can rely on. Along with AI, machine learning and deep learning algorithms can also be harnesses to developing advanced video analytics solutions and further enhancing the intelligence of video surveillance systems.
See also: Top IoT Companies
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