AI enhanced video search<\/h2>\n\n\n\n![\"Eagle](\"https:\/\/www.een.com\/wp-content\/uploads\/2024\/01\/smart-video-search-screen-grab-1024x576.jpg\")
<\/a>Eagle Eye Smart Video Search<\/a> allows users to search their surveillance video the same way they search the web.<\/figcaption><\/figure>\n\n\n\nNo matter how dedicated security personnel are, most conventional security video isn’t watched in real time \u2013 instead, it takes painstaking scrubbing to spot and analyze suspected incidents after the fact. And many security and safety concerns will inevitably be missed. AI offers the ability to search all video<\/a> in a system at once, greatly accelerating the time it takes to find specific events, improving system efficiency.<\/p>\n\n\n\nAt the simplest level, AI algorithms take video at an image level and generate metadata from it on a frame-by-frame basis. In other words, the AI takes video in and converts it to information: there is a vehicle here, there is a person here, there is an object. This metadata attached to the video makes it possible to use natural-language search for specific images, or to generate alerts based on pre-designated images.<\/p>\n\n\n\n
Industry- or site-specific safety applications<\/h2>\n\n\n\n
AI-powered video analytics can accurately identify specific objects or circumstances and trigger alerts to predesignated managers for immediate attention. These trained AI models have many uses, and many that can be applied to specific industries or sites. AI analytics include, but are not limited to: gun detection, slip-and-fall detection, worker safety monitoring, queuing, fire and smoke detection, and face detection.<\/p>\n\n\n\n![\"warehouse](\"https:\/\/www.een.com\/wp-content\/uploads\/2024\/01\/warehouse-safety-surveillance.png\")
<\/figure>\n\n\n\nWorker safety monitoring, for example, is useful in industries or settings where people are required to observe safety protocols and wear personal protective equipment (PPE) such as hard hats or reflective vests. AI analytics simplify monitoring and improve compliance. Managers or shift leaders may not be available to spot every lapse firsthand, but with AI, workers and visitors on a job site or in a warehouse can be quickly identified and reminded to use protective gear\u2014reducing risk and safety violations.\u00a0<\/p>\n\n\n\n
AI models are also being trained to spot firearms in a work or school setting, enabling continuous monitoring for immediate response. Businesses and schools that implement gun detection can use AI to alert the necessary authorities. All AI systems can produce false positives \u2014 for example, by identifying a toy gun as a real one \u2014 but ultimately pass the information on to a human to decide what action is needed. <\/p>\n\n\n\n
Valuable business insights<\/h2>\n\n\n\n
The intersection of surveillance and AI isn’t confined to the most conventional use of surveillance as a tool for observing and documenting safety or security. AI can expand the capabilities of video cameras to help decision makers understand their own business with useful data. AI analytics can provide data-driven insights such as foot traffic patterns and customer counts, peak wait times, and parking occupancy. This data allows businesses to make informed decisions about staffing, training, and operations.<\/p>\n\n\n\n
AI-supported video monitoring<\/h2>\n\n\n\n![\"Download](\"https:\/\/www.een.com\/wp-content\/uploads\/2024\/01\/Trends-report-download.png\")
<\/a><\/figure>\n\n\n\nOne non-intuitive fact: The output of most video security cameras is never watched. Why? Because cameras are often recording on a just-in-case basis, with more potential video streams than there are person-hours allotted to watch it. In most cases you don’t expect to need<\/em> the camera’s output. <\/p>\n\n\n\nWhat that means, though, is that cameras can also be essentially forgotten \u2013 and therefore ignored when they shouldn’t be. With a centralized video management system<\/a> (VMS) informed by AI, video surveillance can be filtered for predetermined events and alert human observers or security personnel of these events. That can mean movement in general, or spotting a particular vehicle, or noting unusual behavior. With that kind of always-on filtering, camera streams don’t suffer from the effects of human boredom, inattention, or task-splitting, and false positive alarms can be spotted before they waste anyone’s time. <\/p>\n\n\n\nAs mentioned in the 2024 Trends report, too, AI filtering can greatly reduce the incidence of false positive alarms, which contributes to making professional video monitoring more affordable and cost-effective.<\/p>\n\n\n\n
Future-proof surveillance systems<\/h2>\n\n\n\n
As the world grows accustomed to AI, the power it brings will slowly become the expected usable minimum set of capabilities \u2013 table stakes. One writer predicts that 2024 will be the year that AI slips into the background<\/a>, disappearing for the large part as it’s simply integrated into the systems that people rely on. Video surveillance without the efficiencies provided by AI will become ever less attractive, as its limitations become more evident. <\/p>\n\n\n\nCloud video surveillance not only provides access to the latest AI capabilities, but also provides a future-proof option to add new features as AI in security continues to advance. <\/p>\n\n\n\n
There are many other benefits to cloud video surveillance and there’s never been a better time to consider your current surveillance systems, and consider whether it’s set to take advantage of both today’s AI capabilities, and the ones on the horizon. <\/p>\n\n\n\n
Eagle Eye Networks provides the AI-powered solutions described in this article. Schedule a demo<\/a> to learn more.<\/p>\n","protected":false},"excerpt":{"rendered":"In 2023, the world witnessed an unprecedented surge in advancements and applications of artificial intelligence (AI), establishing it as the “year of AI.” Across diverse sectors, from security to finance, …<\/p>\n
<\/a>No matter how dedicated security personnel are, most conventional security video isn’t watched in real time \u2013 instead, it takes painstaking scrubbing to spot and analyze suspected incidents after the fact. And many security and safety concerns will inevitably be missed. AI offers the ability to search all video<\/a> in a system at once, greatly accelerating the time it takes to find specific events, improving system efficiency.<\/p>\n\n\n\n At the simplest level, AI algorithms take video at an image level and generate metadata from it on a frame-by-frame basis. In other words, the AI takes video in and converts it to information: there is a vehicle here, there is a person here, there is an object. This metadata attached to the video makes it possible to use natural-language search for specific images, or to generate alerts based on pre-designated images.<\/p>\n\n\n\n AI-powered video analytics can accurately identify specific objects or circumstances and trigger alerts to predesignated managers for immediate attention. These trained AI models have many uses, and many that can be applied to specific industries or sites. AI analytics include, but are not limited to: gun detection, slip-and-fall detection, worker safety monitoring, queuing, fire and smoke detection, and face detection.<\/p>\n\n\n\n Worker safety monitoring, for example, is useful in industries or settings where people are required to observe safety protocols and wear personal protective equipment (PPE) such as hard hats or reflective vests. AI analytics simplify monitoring and improve compliance. Managers or shift leaders may not be available to spot every lapse firsthand, but with AI, workers and visitors on a job site or in a warehouse can be quickly identified and reminded to use protective gear\u2014reducing risk and safety violations.\u00a0<\/p>\n\n\n\n AI models are also being trained to spot firearms in a work or school setting, enabling continuous monitoring for immediate response. Businesses and schools that implement gun detection can use AI to alert the necessary authorities. All AI systems can produce false positives \u2014 for example, by identifying a toy gun as a real one \u2014 but ultimately pass the information on to a human to decide what action is needed. <\/p>\n\n\n\n The intersection of surveillance and AI isn’t confined to the most conventional use of surveillance as a tool for observing and documenting safety or security. AI can expand the capabilities of video cameras to help decision makers understand their own business with useful data. AI analytics can provide data-driven insights such as foot traffic patterns and customer counts, peak wait times, and parking occupancy. This data allows businesses to make informed decisions about staffing, training, and operations.<\/p>\n\n\n\n One non-intuitive fact: The output of most video security cameras is never watched. Why? Because cameras are often recording on a just-in-case basis, with more potential video streams than there are person-hours allotted to watch it. In most cases you don’t expect to need<\/em> the camera’s output. <\/p>\n\n\n\n What that means, though, is that cameras can also be essentially forgotten \u2013 and therefore ignored when they shouldn’t be. With a centralized video management system<\/a> (VMS) informed by AI, video surveillance can be filtered for predetermined events and alert human observers or security personnel of these events. That can mean movement in general, or spotting a particular vehicle, or noting unusual behavior. With that kind of always-on filtering, camera streams don’t suffer from the effects of human boredom, inattention, or task-splitting, and false positive alarms can be spotted before they waste anyone’s time. <\/p>\n\n\n\n As mentioned in the 2024 Trends report, too, AI filtering can greatly reduce the incidence of false positive alarms, which contributes to making professional video monitoring more affordable and cost-effective.<\/p>\n\n\n\n As the world grows accustomed to AI, the power it brings will slowly become the expected usable minimum set of capabilities \u2013 table stakes. One writer predicts that 2024 will be the year that AI slips into the background<\/a>, disappearing for the large part as it’s simply integrated into the systems that people rely on. Video surveillance without the efficiencies provided by AI will become ever less attractive, as its limitations become more evident. <\/p>\n\n\n\n Cloud video surveillance not only provides access to the latest AI capabilities, but also provides a future-proof option to add new features as AI in security continues to advance. <\/p>\n\n\n\n There are many other benefits to cloud video surveillance and there’s never been a better time to consider your current surveillance systems, and consider whether it’s set to take advantage of both today’s AI capabilities, and the ones on the horizon. <\/p>\n\n\n\n Eagle Eye Networks provides the AI-powered solutions described in this article. Schedule a demo<\/a> to learn more.<\/p>\n","protected":false},"excerpt":{"rendered":" In 2023, the world witnessed an unprecedented surge in advancements and applications of artificial intelligence (AI), establishing it as the “year of AI.” Across diverse sectors, from security to finance, …<\/p>\nIndustry- or site-specific safety applications<\/h2>\n\n\n\n
<\/figure>\n\n\n\nValuable business insights<\/h2>\n\n\n\n
AI-supported video monitoring<\/h2>\n\n\n\n
<\/a><\/figure>\n\n\n\nFuture-proof surveillance systems<\/h2>\n\n\n\n