Artificial Intelligence (AI) Camera

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Artificial Intelligence (AI) CCTV Camera in Bangladesh:

In this age of technology, security cameras are considered as digital eyes. But in fact, it's more like portholes: they are just useful when someone utilizes the whole system. That means that people look at live videos, usually from several video streams. Nevertheless, most surveillance cameras work passively. They are in their role when something is wrong. It is like if you have lost your favorite car? Check your Camera then! 

Artificial intelligence helps digital surveillance cameras to operate their tasks and interpret live video without human interruption. It can help security forces and emergency responders to spot incidents and injuries with its own working principle. Well, it is undoubtedly good news for public safety. However, it also poses fundamental concerns about the protection of privacy and places social justice at new risk. 

At GCTL, we have assembled a full-fledged piece on CCTV AI functions. You can get to know all your curiosities over one place now. GCTL Security is one of the giant CCTV suppliers in Bangladesh, and we always do help our clients to choose the best fit for them. 

 AI-Driven CCTV Cameras and Machine Vision: The New Eyes of Surveillance:

Over the last decade video recording has gone quickly and storage in the Cloud from analogue to digital devices. They can maximize this technology with most modern systems that have IP-based cameras and equipment. Mobile cameras that are connected to an IP network send the images to the Cloud directly instead of sending them to a static storage unit. Which provides companies with a much greater versatility when it comes to storing, viewing and maintaining their monitoring images, and the whole thing is happening by the blessing of AI. 

 Machine vision: AI functions use this particular operation to develop their working principles. Machine vision is a collection of algorithms or math processes that operate in various locations, directions, locations, and motions, as a flow chart or set of questions, to equate the object seen with hundreds of thousands of human reference images. 

 Why Artificial Intelligence CCTV Camera Will Dominate the Future Surveillance System?

Video analytics surveillance systems analyze video images in real-time and detect abnormal events that could threaten the security of an individual or an organization. In addition, the system will note the whole process, and it will perform it's "learnt" section to enhance its capabilities for further similar activities. 

 The whole thing can happen in two ways: first by tracking the objects and identifying the existence of human beings and vehicles, and second by input from users on the accuracy of different incidents, which is integrated into the device itself, thus enhancing its functionality (advanced motion detection). This relationship between operator and technology leads to a "teachable" system: Artificial intelligence at its highest levels in the field of defiance, in which human oversight mostly relies on smart video analytics' sophisticated abilities.

 Benefits of having AI in CCTV systems:

 Several significant opportunities lie when machine learning dominates the CCTV system, and we here are few of them- 


  • Real-Time Monitoring- Integrating AI into CCTV allows warning and activation, for instance, when a left-hand bag happens on an airport, or an accident occurs on the motorway. The emergency services should be proactive instead of reactive with an automated warning or signal that starts to respond immediately. This modifies the regular use and alerting of CCTV in the detection of activities, circumstances and accidents.


  • Prominent Accuracy- Using AI, businesses are developing magnificent technologies to make video searching. They are cooperating as easily as browsing the Internet. Where operators may quickly identify a single person or a car inside out by all cameras and record it as a "learnt option". 


  • Improved Efficiency- Historically, human monitoring of CCTV feeds was carried out. The tracking of multiple cameras feeds both costly and unreliable, and the volume of labour not only is not able to be sustained over long periods.