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Government CIO Outlook | Tuesday, May 10, 2022
Securing from all types of cybercrimes and malicious acts, video surveillance will keep the data and information safe by in-depth monitoring with the help of AI.
FREMONT, CA: Technology has transformed surveillance in the past years. A simple CCTV camera no longer cuts the mark; the possibilities and demands for surveillance are endless. In the 21st century, businesses need to consider a lot of aspects that probably didn't even exist a few years back. Here are four surveillance trends every CIO should know as the world is becoming smarter.
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AI Leaps
For all the attention and the broad discussion, as a user of the electronic devices, we are aware that Artifical Intelligence is revolutionizing every industry drastically. AI has already made a significant impact by bringing advancement and making the life of humans a lot easier. Video surveillance is one of them. The machine learning or deep learning is mostly used for video analytics in many industries.
As time flies, these technologies will become a common tool for software engineers and manufacturers to create different environments and devices. Again, its application will only be driven by the most compelling use cases, and not the technology itself. There is a favorable condition in the surveillance and security sector to over-promise the new technologies. This is very true in the case of AI in video analytics, especially in some of the cases that are made around the current application of deep learning. Utilizing AI and deep learning, as with any technology, AI in surveillance will provide a platform that is robust, reliable, and addresses real customer challenges.
Deep learning consists of two phases, the training phase and the execution phase. The former requires a lot of processing power, data, and time, and will most likely run on a server or in the cloud, while the additional tuning could be done on edge. The second phase is the execution, in which the 'trained' data is required, and can be done at any level within the systems, purely dependent on how much processing is required and how critical the application is.
Cloud and Edge Computing
There are only a few organizations, both in the private and public sectors, that aren't utilizing cloud computing at any level. Several organizations have moved their infrastructure to a cloud-based model. Cloud computing is based on centralized computing, as the data grows day by day, the Internet of Things and other security devices grow exponentially. Edge computing means that more data is transferred to the data center. One of the benefits is the speed of processing and the ability to act upon the data that is captured. In this way, cloud computing and edge computing helps the government in obtaining the video and how fast the processing is done.
Smart Tech Environment
Video analytics is used as an operational planning tool by the firms that focus on improving the energy efficiency within the offices. The best area where the sensors can heighten the awareness and understand, and increasingly allow the remedial action is considered in the air quality. Whether it is inside the building or outside the building, the smart sensors will have a major role in protecting the environment. Such applications add value to organizations through cost savings and efficiencies.
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