The technological trends leading the developments in our market, as well as the need for continuous improvement of the efficiency, functionality and effectiveness of security systems are radically changing the landscape for security product manufacturers. Technologies such as Artificial Intelligence and Machine Learning are increasingly being integrated into them, making security systems “intelligent” as a whole, while at the same time developing “smart” software and expanding the use of the Cloud.
One of the key areas of security that makes the most of the benefits of integrating advanced technology is video surveillance (CCTV) systems with video analytics. Enriching their operation with Artificial Intelligence and Machine Learning, they not only become “intelligent”, but increase the reliability of security-related projects and expand their use in many more areas.
Advanced video analytics and security projects
The use of metadata in CCTV systems has already significantly improved their accuracy and reliability in capturing details of security incidents. With the adoption of advanced features provided by the integration of Artificial Intelligence, a video surveillance system, catalytically increases the level of protection it provides, making the overall security task more effective. Going one step further, with the adoption of “Deep Learning”, “intelligence” is no longer limited to the security system itself, but also expands into business and business functions, making video surveillance solutions even more more efficient and cost-effective.
Extended use of video surveillance systems (CCTV)
The increased capabilities of video surveillance systems, expand the range of their application in areas that are not exclusively related to security. Utilization of “business intelligence”, based on video analytics, is located in critical applications regardless of sector, such as. in counting and crowd control to avoid overcrowding, both indoors and outdoors, which is crucial to limiting the spread of Covid-19.
Let us not forget that the global spread of the pandemic has created an “explosion” in the search for contactless but at the same time effective solutions, to control the access of human resources and visitors, to businesses, premises and facilities or even to control the access of vehicles to private parking lots.
Video surveillance systems with advanced video analytics, ultra-high image resolution and smart technologies such as face recognition, catalyzed the discovery of contactless and automated access methods. Moreover, Deep Learning, as well as the full integration of Artificial Intelligence in security cameras, have accelerated the procedures for detecting security incidents, as the possibilities of searching log files go beyond the narrow scope of visual search, incorporating sophisticated filters and criteria. , even behavior analysis (!).
With the help and power of the Cloud
The “smarter” the technological solutions become and the higher the image resolution, the more exponentially the volume of storage data will increase exponentially. Given that the processing time of this data should be reduced to a minimum, the more urgent will be the need for increased computing power. Thus, the capabilities discussed above are increasingly based on Cloud or hybrid infrastructure, offering more flexible video surveillance solutions but also scalability to security systems as a whole.
The future of video surveillance is Artificial Intelligence
The benefits of using smart data offered by security cameras with built-in Artificial Intelligence capabilities, can make a decisive contribution to the safe and controlled operation of any kind of business. Procedures such as social distance control and completeness management are fully automated, while “traditional” video surveillance functions, such as detecting suspicious objects and persons, become more effective.
With the use of Artificial Intelligence in CCTV systems constantly expanding and the demand for affordable solutions that incorporate intelligence growing, video analytics applications will not only strengthen their role in security projects, but will continue to gain ground in areas outside of security.
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