Page 20 - Security Today, January/February 2022

Delivering Actionable Insights AIoT is the next generation internet of IoT combined with AI
By Paul Garms
Artificial intelligence (AI) enables machines to learn, understand, and act accordingly – giving it enor- mous potential. It has developed more in the past five years than in the 50 previous years. From driv- er assistance systems to smart home appliances and sensors for monitoring for faults in machinery, its presence is felt in many aspects of life.
In the security and safety industry, AI capabilities are just begin- ning to make an impact but expected to see wider adoption as the industry learns more about the possibilities. The potential includes enabling operators to respond before potential situations occur and assisting managers in identifying and evaluating business opportu- nities that create new revenue streams or reduce operational costs. This capability requires semantic scene understanding to drive the power to predict events and behavior, something that is achievable with AIoT video systems. AIoT is the next generation Internet of Things (IoT) combined with artificial intelligence (AI). It joins the networking of physical products and the deployment of AI.
AIoT video products add sense and structure to video data. AI capabilities enable the cameras to understand what they are seeing and add meaning to capture video with metadata. This process is an important first step in converting rich contextual and behavior- al video data into actionable insights – helping users understand events at an ever-deeper level and predict them in the future. Predic- tive solutions help users anticipate unforeseen events and prevent them from happening proactively.
Harnessing the power to predict requires making good and efficient use of the rich and versatile data generated by video sys- tems. Video becomes more about intelligent, databased solutions than collecting high-quality images and storing them for the re- cord.
AIOT SOLUTIONS
AIoT helps strengthen security and safety and enables new uses beyond security. When cameras and AIoT combine, they become intelligent sensors that can provide information on activity or states of objects in an area. These smart sensors enable data-driv- en solutions that provide business insights to bring new value to organizations.
There are many applications for AIoT video systems, and the possibilities for tailoring solutions to meet specific customer requirements are endless. With machine learning, cameras are trained to recognize objects and situations –for customized so- lutions that meet the specific needs of users in various markets. Following are a few examples in several markets.
Critical infrastructure. With the latest deep neural network- based video analytics, perimeter detection solutions deliver more accurate person detection capabilities, reducing false alarms. This advanced analytics technology relies on deep learning, which uses artificial neural networks that attempt to mimic the human brain, allowing it to learn from large amounts of data and recognize patterns to tackle more complex tasks faster, easier, and more ac- curately. This higher level of accuracy reduces false alarms com- monly caused by wildlife at the perimeters of remote sites, such as unmanned substations, communications towers, or borders.
Monitoring centers. AI is enabling a transition from human and assisted review of events to a more automated approach. Monitoring centers can benefit from this change through AI- based alarm verification services. These video cloud-based ser- vices help to reduce false alarms, increasing the efficiency of op- erators to ensure that real alarms respond quickly.
Public or commercial buildings. When an AIoT camera detects an object blocking an emergency exit door, it can trigger the pub-
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ARTIFICIAL INTELLIGENCE
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