What to Expect from Video Surveillance Technologies in 2021

Applied Tech Review | Monday, October 18, 2021

Exceptional breakthroughs have suggested that 2021 technological trends rely heavily on sophisticated video surveillance, AI analytics, and cloud storage.

FREMONT CA:  In today's constantly shifting world, there is a growing awareness of the need for video security surveillance systems, which has resulted in the invention of more security-related technology. However, there are additional privacy considerations to ensure the protection and security of all residents and keep everyone healthy. Numerous technologies have progressed dramatically to stay up with the fast-paced environment.

As intelligent video surveillance systems grow, some emerging trends meet and exceed every business's expectations for achieving and ensuring complete safety and security.

Increased Data Utilization for Video Analytics: Security surveillance systems are growing increasingly sophisticated and powerful daily. Consequently, every organization and corporation must have proficiency in using data, including video and photos, to stay current with quickly emerging technology. Intelligent video surveillance systems will be critical and trustworthy for ensuring security and safety and recognizing trends and patterns, ultimately benefiting every area of the industry financially and emotionally.

Contactless Solution as Fear of Covid-19 Persists: The pandemic epidemic has increased the use of contactless technologies such as facial recognition systems, thermal cameras for body temperature screening, and mask detection algorithms. As a result, ANPR systems and thermal screening devices may gain popularity and importance in the coming years as individuals seek to minimize the risk of physical contact. Cloud-based AI-driven technology will revolutionize the world of security camera systems.

Artificial Intelligence (AI): Artificial intelligence is combined with multiple advanced intelligent video surveillance systems to enhance video surveillance. This is accomplished via AIpre-stored computer software programs that may be adjusted through the use of coding. These programs assist in analyzing audio and video from video surveillance cameras to identify individuals, vehicles, objects, and various events. The AI program operates through the use of machine vision. It is a comprehensive collection of various algorithms or mathematical techniques that enables expression flowcharts and multiple inquiries to compare the item observed with a large number of stored photographs of individuals in various postures, angles, locations, and movements. These photographs are retained as a reference, making it easier to recognize. Then, artificial intelligence technology checks to see if the thing it witnessed moves in the same direction as the reference photographs.

Deep Learning/Machine Learning: With the development of artificial intelligence software based on Deep Learning, the CCTV camera business has undergone a sea change. Deep learning is a subset of AI that enables a machine to teach itself using inherited and previously stored facts, precisely replicating how a human being is taught and forced to learn new things. Along with other alerting purposes, video and image analytics structures live or archived video data from the cloud, accumulating meta-data to generate measurable insights. End users can also evaluate trends, extract actionable insight, and make informed safety, operations, and security decisions by displaying video and image meta-data.

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