How are video surveillance systems going beyond surveillance and used for analytics?
Significant changes have shaped the security industry during the last decade and more exciting innovations should be expected in the 2020s. Emerging technologies and applications – such as multidimensional perception, UHD (Ultra High Definition), low light imaging, artificial intelligence and cloud technology – open new possibilities for the security industry. At the same time, millions of cameras and other security devices are being connected into networks, making the security industry a very important part of the future IoT world.
When it comes to delivering the insights for today’s organisation, Hikvision is a pioneer in security and beyond. Hikvision’s industry-leading video surveillance cameras and infrastructure solutions, engineered with AI technology integrate a range of tools to support smarter decision making, from people counting and facial recognition, to vehicle recognition and automated security alerts.
According to the latest Memoori Research report, AI technology will become mainstream. Significant improvements in AI video analytics software are making this possible. Over the next 10 years, it will become a standard requirement across video surveillance solutions. AI video analytics will be the number one gamechanger over the next 10 years in the video surveillance business, influencing the growth of most products that make up this business.
There is a new wave of video analytics, termed as deep learning video surveillance. Traditional video surveillance companies naturally see Deep Learning and AI as a feature to run off their existing products offering a way to both differentiate themselves and add further value to their products.
This story is from the May 2020 edition of DataQuest.
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This story is from the May 2020 edition of DataQuest.
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