When they are surveillances, we know how important these devices are that make lives and public places safer while securing the real-world assets. The trust for surveillance is so deep-rooted that we are more than eager to implement these technologies in the most critical places. Physical security devices such as surveillance are integrated with deep learning and artificial intelligence.
So, how does it make a difference? This allows fast and effective data parsing and enables smart and data-driven decision making. This is enough to achieve your operational goals in security.
Even though this is ascendant, the government seems to be not enthusiastic about this technology. But, in the context of its widespread use, the focus is now more than on its physical security capabilities.
In this article, we will discuss some popular use cases of surveillance, which give you more reasons to maximize its potential and achieve amazing benefits for future operations.
Surveillance: The Intelligent Side of AI
Public safety is a key concern. Alongside, the security of property and facilities matters greatly.
Many tools such as cameras, drones, and e-doors can keep criminals away, but video surveillance is of great importance. Over a few years, the use of surveillance has been increased in the places where goods are sold. AI prompts its growth and brings forward a dozen significant use cases.
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Crowd Controls And Monitoring
In a large crowded area, AI-embedded surveillance can come handy. Areas such as public gathering in any sporting event, stadium, cinema hall or spaces such as airports where crowds must pass through a checkpoint can implement AI to further the detection process of the crowd by constantly monitoring their movement and anticipate future threats. As AI-integrated video technology such as surveillance can capture the movement and behavior of the crowd and keep a constant watch on them.
Similarly, facial recognition-embedded surveillance can reduce bottlenecks at airports. This technology is useful in improving boarding processes and reduces manual labor. While this eases streamlining the passenger onboarding, it also intensifies security for people around as the system identifies criminals within the passengers.
On the other hand, AI-surveillance video analysis helps identify individual criminals in the sea of the crowd in a crowded place like a stadium. So, AI is an added feature to security surveillance.
Automation of Repetitive Tasks
AI-based surveillance can easily automate repetitive tasks, which the traditional surveillance systems lack. The traditional surveillance tools require combing through lengthy video footage in order to harness the accurate information about suspicious activities. However, physical security tools with AI capabilities use different tags for images to facilitate fast information search, eliminating resourceful time being wasted after video footage search. As AI can distinguish every image and video, it can easily determine relevance. As a result, surveillance can accelerate the image search of concerned persons or objects.
Detection of Left Object
As part of smart cities, surveillance can better complement its objectives to make it a highly secured zone by deploying AI in its systems. As AI can classify between different objects and living organisms, it can detect anomalies easily.
It can ascertain normal behavior or suspect something suspicious to ensure follow-up. For example, deep learning built-in surveillance can detect left objects like unattended bags or suspicious cars on streets or an airport. AI systems can keep track of every activity while security personnel or policies are not in action. This enhances the security of public property whilst prompting for quick action to mitigate any risks.
Loitering Detection of Pedestrian Activity
This is a phenomenal feature and application of surveillance to immediate action that stops suspicious activity if any.
Using image analysis specification, surveillance can monitor the loitering of an unusual person for indoor/outdoor operation. It detects humans as they remain in the scene longer than expected. The surveillance is capable of working even when the person remains static. With the tool, it is easier to track the loitering of a person and avoid future risks immediately.
Conclusion
AI systems, especially surveillance are efficient in detecting potential suspicious behavior or identifying anomalies. But, it should sync with humans to enable faster and smarter accomplishment of jobs. AI has powerful capabilities and cognitive intelligence to reduce crime and ensure security for everyone. SynergyLabs offers comprehensive AI solutions for significant applications both in the public and private sectors. For any product related AI services, you can get in touch with us.
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