The use of AI continues to be one of the 2024 video security trends. Thanks to AI, it is possible to turn hours of previously redundant footage into data, which can then be analyzed for video security trends and patterns. Whereas before, security teams only learned from the incidents identified manually, now they can learn more from hours of untapped video that were previously skipped over. Because of the valuable insight this technology provides, more businesses are seeing the need to adopt AI video analytics and are budgeting accordingly.<\/p>
One of this year\u2019s most significant commercial security camera trends is leveraging video analytics technology to generate big data. Below are some of the factors driving its growth.
<\/p>
The growth of deep learning in video security is one of the new security camera technologies and latest\u00a0CCTV\u00a0technology trends. Video analytics is a\u00a0prime example of cutting-edge technology adopted by mainstream manufacturers and distributors across the\u00a0commercial security camera\u00a0industry.<\/p>
AI vision solutions, or computer vision as it is known in the machine learning field, uses a highly sophisticated type of artificial intelligence known as convolutional neural networks. These networks analyze images, looking for patterns corresponding to generalized concepts such as people or vehicles. The more examples a network is given, the better it becomes at identifying these concepts quickly and accurately, which means this technology is set to become even more advanced in the near future.<\/p>
So how did video analytics become one of the 2024 video security trends and why are they such a game-changer for security teams? Enhancing video security with analytics enables teams to do much more with the resources they already have. Over an average shift, a security professional\u2019s accuracy when monitoring video decreases due to tiredness and distractions, whereas video analytics can accurately monitor video 24\u00f77\u2212 365. Analytics also remain consistently fast at processing video.<\/p>
While video surveillance technology for 2024 and video security trends are technologically advanced, security professionals won\u2019t be replaced by algorithms. AI is only as good as the people directing it, so security professionals still need to verify alarms to ensure they are handled appropriately.<\/p>
Adopting video analytics into the latest\u00a0CCTV\u00a0camera technology makes a\u00a0video security operator\u2019s job easier by automating time-intensive, low-output tasks like watching hours upon hours of video. Now, teams can work smarter with the extra time and energy they have. With analytics and\u00a0AI\u00a0security cameras\u00a0providing fast, consistent intelligence, teams can make split-second decisions about how best to respond to incidents.\u00a0
\u00a0<\/p>
The growth of edge computing is a\u00a0major technological shift in the security camera industry and remains one of the\u00a02024\u00a0CCTV\u00a0trends. Edge computing refers to applications or functions that run within a\u00a0device rather than at a\u00a0central server. So, edge analytics, or analytics on the edge, uses video\u00a0camera analytics\u00a0technology to analyze video data at the point of recording instead of sending the video to a\u00a0main server for analysis. In this case, the edge devices are security cameras such as dome or bullet security cameras. This is one of the latest trends in\u00a0CCTV\u00a0technology to gain popularity\u00a0because:<\/p>
Reduced latency equals faster decision-making. <\/strong>Latency is the delay before a data transfer begins. If a security camera were to continuously stream all its video to a central server, there would be some delay because this data is considerable in size. However, if a camera only sends small video clips as and when they are picked up as relevant, latency reduces because the file sizes are much smaller.<\/p> This means security teams not only receive more relevant information, they also get it even faster, which can make a difference in situations where operators have a matter of seconds to respond to an incident.<\/p> Smaller video clips mean less bandwidth and data storage. <\/strong>Cameras continuously streaming video to servers use a lot of bandwidth. When you consider that only a small proportion of that video is needed for rapid incident response, a more efficient method is preferable.<\/p> Cameras that send through relevant snippets put much less pressure on the network, using much less bandwidth. Not only does this mean that clips get through faster, it puts less financial strain on businesses, too, since there is less data to transmit and store.<\/p> Edge computing is the very latest CCTV camera technology. It sends accurate alerts quickly without straining a network, making it a popular video security trend. The CCTV camera market is developing hardware equipped to carry out many more tasks within the device itself, making for a more efficient network.<\/p> <\/p> From: pelco<\/em><\/p>","protected":false},"excerpt":{"rendered":" The use of AI continues to be one of the 2024 video security trends. Thanks to AI, it is possible to turn hours of previously redundant footage into data, which can then be analyzed for video security trends and patterns. Whereas before, security teams only learned from the incidents identified manually, now they can learn […]<\/p>\n","protected":false},"author":13,"featured_media":6717,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[54],"tags":[],"class_list":["post-6716","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-trends"],"yoast_head":"\n