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Video Surveillance Is Getting Smarter And More Connected

Video Surveillance Is Getting Smarter And More Connected
Rishi Lodhia
Rishi Lodhia
Contact company
Contact Eagle Eye Networks, Inc.
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Summary is AI-generated, newsdesk-reviewed
  • Pandemic spurs advanced video surveillance for social distancing, occupancy monitoring, and return-to-work processes.
  • Cloud-based VSaaS solutions offer cost savings, disaster recovery, and storage management improvements.
  • Video analytics and AI integration enhance operational intelligence through real-time data insights.
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The global pandemic has triggered considerable innovation and change in the video surveillance sector. Last year, organizations around the globe embraced video surveillance technologies to manage social distancing, monitor occupancy levels in internal and external settings, and enhance their return-to-work processes.

Forced to reimagine nearly every facet of their operations for a new post-COVID reality, companies were quick to seize on the possibilities offered by today’s next-generation video surveillance systems. Whether that was utilizing motion sensing technologies to automatically close doors or switch on lighting in near-deserted office facilities. Or checking if people were wearing masks and adhering to distancing rules. Or keeping a watchful eye on streets and public spaces during mandated curfew hours.

Beyond surveillance and monitoring use cases, organizations also took advantage of a raft of new Artificial Intelligence (AI) applications to undertake a range of tasks. Everything from automating their building management and optimizing warehouse operations, to increasing manufacturing output and undertaking predictive maintenance.

Behind the scenes, three key trends all contributed to the growing ubiquity of video surveillance observed in a variety of government, healthcare, corporate, retail, and industry settings.

Video surveillance takes to the Cloud

Last year the shift to digital working led organizations to rapidly embrace cloud-enabled services, including cloud-hosted Video Surveillance As A Service (VSaaS) solutions that provide tremendous economies of scale and flexibility. Alongside significant cost savings, these solutions make it easier for organizations to enhance their disaster recovery and manage their video surveillance estate in new and highly effective ways.

Surveillance cameras with audio recording were used more than 200% by customers between 2016 and 2020 For example, in addition to enabling remote access and maintenance, today’s cloud-powered systems eliminate any need to invest in local storage technologies that all too often fail to keep pace with an organization’s growing data storage requirements.

Indeed, data from our worldwide customer base survey reveals how in 2020 an impressive 63% of organizations had abandoned using any on-premises storage option and were instead only storing all their video surveillance recordings and data in the Cloud. A deeper review of the global stats shows that the average cloud recording retention period for this stored data was 28.2 days, with organizations in Asia topping the global average at 38 days – 33% higher than was observed in any other region.

Improvements in bandwidth and scalability engendered by the Cloud have also helped boost the growing utilization of audio recordings in addition to visual image capture. Indeed, our research found the number of surveillance cameras with an audio recording facility used by customers jumped more than 200% between 2016 and 2020.

Making sense of Big Data

The enhanced ease of connectivity and scalable bandwidth made possible by the Cloud is stimulating more companies to connect a lot more video surveillance cameras to their networks. The top motivation for doing so is to generate live metrics and data that can be utilized to deliver enhanced business insights and operational intelligence.

In recent years, a rich choice of video analytics solutions have been developed for a variety of industry verticals. The range of functionalities on offer is impressive and covers a variety of applications. Everything from making it easy to classify and track objects and behavior patterns in real-time, to undertaking anomaly detection, or generating predictions based on past and present events/activities.

Data collected via today’s cloud connected cameras can now also be used to feed deep learning training and AI analytics, utilizing the unparalleled virtualized processing capacity of the Cloud to convert Big Data into usable information quickly. By integrating this information with data from other enterprise data capture systems, organizations are now able to gain a 360-degree view of their operations – in almost real-time.

IT is now in the driving seat

No longer the sole preserve of on-site security staff, the wider application and business use of video surveillance means that IT is increasingly taking the lead role where the management and control of these systems are concerned. IT is asked to integrate video surveillance into key enterprise platforms to generate the data that business leaders need

Aside from the fact that IT has a vested interest in addressing the cybersecurity implications that come with attaching a growing range of IoT devices to the enterprise network, they’re also increasingly being asked to integrate video surveillance into key enterprise platforms to generate the data that business leaders need.

As organizations expand their integration of video with other business applications, such as point of sale, access control, process control, and manufacturing systems, this trend is only set to accelerate.

Looking to the future

Right now, the video surveillance industry is at a key tipping point, as video systems become increasingly strategic for enabling the enterprise to boost productivity, stay compliant, and fulfill its obligations to protect employees and customers.

As the technology’s contribution to enhanced data-driven decision-making and problem solving continues to increase, expect the adoption of IP connected video cameras to burgeon as organizations look to capture more data from their day-to-day business operations.

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