3 Oct 2022| O-Founders
Top Impactful AI Security & Surveillance System Technologies
To a greater extent, technology and innovation sustain life in the twenty-first century. Technology impacts almost every aspect of our lives, from dawn tonight. Of course, this includes our safety. CCTV cameras for security AI surveillance have become an essential part of our daily life in this area. Security cameras are installed in every home and office and on roads and streets.
In recent years, lockdowns and containment zones, which restrict movement, have increased global reliance on CCTV and security surveillance systems. People realized the need for CCTV solutions for security AI surveillance of their homes/offices or loved ones due to the circumstance.
Innovative technologies have disturbed the security AI surveillance area throughout the years. In the future, CCTV security systems may become even more brilliant as new innovative technologies, such as Artificial Intelligence (AI) and Machine Learning, are integrated (ML). The impact of AI technology on security systems, on the other hand, has been unprecedented.
Let’s take a look at five AI surveillance technologies that will impact the security AI surveillance industry in 2022.
The technology used in the system has become invisible, from customers utilizing their smartphones to security employees monitoring video security cameras. So, everything is still’ linked’ globally, whether the processing happens on a local server, at a faraway data centre, or on a device. Security AI surveillance systems are no exception since the world has learned to live and work in hybrid mode, whether in businesses, schools, exhibitions, healthcare, or even autos. While most security systems have already adopted the hybrid approach, particularly in central business areas, the remaining ones will mix on-premise server, cloud, and edge technologies.
A flexible working environment has resulted from the increased adoption of hybrid networked work culture. As a result, more and more individuals regularly connect to public internet networks. The concept of securing the perimeter around an organization is simply antiquated, given the rapidly rising number of connections between devices, data centres, and networks. It has become vulnerable to cyber attacks, prompting the development of a new technique known as zero-trust networks.
The security profile of each device and programme connected to a network is checked every time it connects to that network, known as a zero-trust network. In many respects, this method will impact video security AI surveillance systems. As a result, hygiene considerations in client solutions will include regular software upgrades, secure boot, signed firmware, encrypted video/data, and fast identification. This is the point at which “good to have” becomes “must-have.”
It’s critical to authenticate the video footage captured by CCTV security cameras, just as it is to evaluate the profiles of connected devices and apps using the zero trust method. Images and video footage that have been manipulated after they have been shot are becoming more common, casting doubt on their validity.
There is a rising requirement for security AI surveillance firms to have the ability to add a digital signature to video footage frame by frame during capture. This verifies that the video is a real capture from a specific CCTV camera that has not been tampered with or modified in any manner. Because this is a significant issue for the security surveillance business, a standardized method based on open-source software and initiatives may become necessary.
As we all know, 5G’s specialization gives mobile phone users higher network performance (over 4G) and better coverage. Meanwhile, as more customers connect to the 5G network and expand it, video surveillance will need to integrate seamlessly. Similarly, private companies in the 5G network will have to show some interest in video monitoring solutions that span numerous customer sites, providing significant cyber security benefits.
Furthermore, 5G technology will make wireless video AI surveillance more accessible in remote settings such as deserts, coal mines, oil rigs, canyons, and other similar environments. In addition, 5G will have a significant impact on CCTV IP camera technologies. In an enterprise setting, a single 5G rollout will allow for the connection of more devices. It will also allow high-quality video and data to be sent without interruption or data distortion. The faster 5G technology spreads, the more opportunities the security surveillance business can reach out to new customers.
Artificial intelligence (AI) has impacted human life in various ways. Almost every industry segment has adopted the technology, making our lives easier. However, while artificial intelligence (AI) is not new to the AI surveillance sector, it still has a long way to go. As a result, local, regional, and global regulations and legislation relating to the development and use of AI-based technology and applications should be devised. Every organization or institution that uses AI technology should adhere to this rule. This will ensure that AI is implemented ethically and adequately in the long term.
To sum up, AI will be used to optimize and enhance all areas of video security & surveillance systems, from camera design to higher image quality to analytics, since AI is integrated into the fundamental layers of technology – system-on-chip (SoC).
If you want to learn more about AI in new security & surveillance systems technologies, contact the ONPASSIVE team.
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