Video Surveillance as a Service (VSaaS) innovator AVA Security found that more than four out of every five (82%) of IT, Operations, Facilities Management and Security systems decision-makers employed by medium and large-sized businesses, see a potential role for their workplaces’ video monitoring systems in supporting corporate plans for 'a safe return to the workplace post-lockdown’.

Video monitoring systems

This was perhaps the most significant finding of the security industry’s first multi-national study of COVID-19 video monitoring system usage and upgrade impacts. Questionnaires for this reached decision-makers during March when many of them were in the midst of making final arrangements for the safe return of staff to organizations’ offices and work premises later this summer.

In the US, 90% of respondents saw a role for video monitoring systems in supporting a safe return to the office, while that percentage fell to 72% in the UK and went up to an average of 94% across Norway and Sweden.

IT Cloud adoption

AVA Security’s research also uncovered acceleration in cloud migration of IT services which looks set to positively impact VSaaS adoption. Nearly four out of every five US firms (79%) have already accelerated their cloud migration plans during the pandemic. More than half of those have already secured an increased IT budget in the financial year 2020/21 for moving additional services into the cloud.

In the UK, over half (51%) have accelerated cloud migration of services over the last year, again with over half of those already benefitting from increased budgets to complete cloud migration projects.

Sweden and Norway together had an average of 84% seeing an acceleration of cloud migration of services, with over two-thirds of this group confirming a new budget had already been assigned to this activity.

VSaaS demand led by the US

Over three quarters (76%) of US firms with video monitoring systems regarded VSaaS migration as a ‘net high priority’ (marking it as either ‘high priority’ or ‘somewhat a priority'). That percentage was even higher across Norway and Sweden’s respondents at 90%. However, in the UK VSaaS adoption was favored by just over half (51%) of security system decision-makers.

Remote monitoring of assets

AVA Security also revealed that four out of every five businesses predict an increase in remote monitoring of assets

AVA Security also revealed that four out of every five businesses captured in its multi-national study, predict an increase in remote monitoring of assets, processes, and people on their work premises over the 12 months.

There is no doubt that the spike in demand for remote management of systems and premises (because so many of us having to work from home) is set to continue apace: 78% of firms predicting that it was likely they would increase their remote management capability over the next 12 months. That figure was slightly higher in the US at 83% and only slightly lower in the UK at 72%.

Cybersecurity

AVA’s study also uncovered the fact that 79% of firms declared it likely that their organization would accelerate the migration of IT applications into the cloud over the next 12 months. The study also found that 80% of firms predicted an increased focus on cybersecurity for all networked devices and applications over the next 12 months.

Vegard Aas, Head of Online Business at AVA Security, commented, “Increased demand for remote management of IT systems is naturally feeding through to demand for cloud-based IT services as those running systems focus on speed of access to data, as well as increased cybersecurity to protect network infrastructure.”

Video set for deeper integration

The top priority for improving and optimizing existing video monitoring systems on both sides of the Atlantic was to integrate them ‘better with other security-related systems, such as access control or alarm systems’ – nearly four of every five system owners (79%) considered this a high priority for improvement.

The next highest priority (jointly), for 77% of system owners, was improving their ‘system’s resilience and backup systems and procedures and ‘GDPR compliance procedures’ surrounding their video monitoring/CCTV systems.

Video analytics adoption

People counting (including room capacity monitoring) is the most heavily deployed smart analytics tool right now on both sides of the Atlantic, the AVA study found. Across all four countries captured by the study, the average deployment of people counting stood at 43% of video systems. A further 32% of firms plan to deploy this video analytics capability in workplaces within the next 12 months.

In the US, 54% of video system owners have already deployed people counting in their systems, whereas adoption is higher again in Norway and Sweden combined at 62%, although much lower in the UK at just 29%.

Crowd density analytics

People crowd density analytics runs a close second in terms of video analytics adoption

People crowd density analytics runs a close second in terms of video analytics adoption, no doubt stimulated by COVID-19 safety requirements – 39% of organizations have already deployed this capability into their video surveillance systems.

The US leads in terms of crowd density analytics usage with 57% of firms there using it, whereas a little less than half (44%) of Sweden and Norway-based video monitoring system owners have crowd density analytics capability. Only a quarter (26%) of UK system owners has so far deployed it.

However, the UK is set to see a more than doubling of crowd density analytics deployments – 29% of system owners plan to deploy this in their video monitoring systems over the next 12 months.

ANPR analytics user base

Automatic License Plate Recognition (called License Plate Recognition outside the UK) has seen similar levels of deployment: 35% of system owners across all countries captured by this study have so far deployed ANPR/LPR.

Sweden and Norway together lead with an average deployment of ANPR between them of 52%. In the US that number is only slightly lower at 43%. Again, the UK’s adoption of ANPR analytics lags at a quarter (25%) of system owners.

ANPR analytics, the findings suggest, is set to see rapidly increased take-up, in some cases doubling in terms of market penetration over the next 12 months. So, in the US, a further 43% are set to put in LPR analytics into relevant surveillance cameras over the next 12 months, whereas in the UK an additional 22% plan to install ANPR capability into their existing CCTV systems by March 2022.

Increased VSaaS adoption

Our new study reveals increased take-up of remote management and cloud-based IT services

Vegard Aas, Head of Online Business at AVA Security, confirmed, “Our new study reveals a plethora of changes focused on increased take-up of remote management and cloud-based IT services which all bode well for the accelerating adoption of VSaaS.”

Managers running video monitoring systems are looking for greater functionality which the next generation of video analytics can now deliver. Some specific video analytics like crowd density and room capacity analytics is enjoying a COVID-19- linked uplift in demand simultaneously.”

“Security system owners are also clearly looking for the tighter cybersecurity of video data. They also want more timely access to that data from wherever they are to help drive faster and smarter decision-making.”

Cloud Connector

Ava Security launched its Cloud Connector offering to enable video security system owner’s easy and cost-effective transition of video security solutions to the cloud. This brings Ava’s advanced real-time analytics and proactive security to existing surveillance cameras by integrating with the open Aware Cloud platform.

Share with LinkedIn Share with Twitter Share with Facebook Share with Facebook
Download PDF version Download PDF version

In case you missed it

Disruptive Innovation Providing New Opportunities In Smart Cities
Disruptive Innovation Providing New Opportunities In Smart Cities

Growth is accelerating in the smart cities market, which will quadruple in the next four years based on 2020 numbers. Top priorities are resilient energy and infrastructure projects, followed by data-driven public safety and intelligent transportation. Innovation in smart cities will come from the continual maturation of relevant technologies such as artificial intelligence (AI), the Internet of Things (IoT), fifth-generation telecommunications (5G) and edge-to-cloud networking. AI and computer vision (video analytics) are driving challenges in security and safety, in particular, with video management systems (VMSs) capturing video streams and exposing them to various AI analytics. Adoption of disruptive technologies “Cities are entering the critical part of the adoption curve,” said Kasia Hanson, Global Director, Partner Sales, IOT Video, Safe Cities, Intel Corp. “They are beginning to cross the chasm to realize their smart city vision. Cities are taking notice and have new incentives to push harder than before. They are in a better position to innovate.” “Safety and security were already important market drivers responsible for adoption of AI, computer vision and edge computing scenarios,” commented Hanson, in a presentation at the Milestone Integration Platform Symposium (MIPS) 2021. She added: “2020 was an inflection point when technology and the market were ripe for disruption. COVID has accelerated the adoption of disruptive technologies in ways we could not have predicted last year.” Challenges faced by cities Spending in the European Union on public order and safety alone stood at 1.7% of GDP in 2018 Providing wide-ranging services is an expanding need in cities of all sizes. There are currently 33 megacities globally with populations over 10 million. There are also another 4,000 cities with populations over 100,000 inhabitants. Challenges for all cities include improving public health and safety, addressing environmental pressures, enabling mobility, improving quality of life, promoting economic competitiveness, and reducing costs. Spending in the European Union on public order and safety alone stood at 1.7% of GDP in 2018. Other challenges include air quality – 80% of those living in urban areas are exposed to air quality levels that exceed World Health Organization (WHO) limits. Highlighting mobility concerns is an eye-opening statistic from Los Angeles in 2017: Residents spent an average of 102 hours sitting in traffic. Smart technology “The Smart City of Today can enable rich and diverse use cases,” says Hanson. Examples include AI-enabled traffic signals to help reduce air pollution, and machine learning for public safety such as real-time visualization and emergency response. Public safety use cases include smart and connected outdoor lighting, smart buildings, crime prevention, video wearables for field agents, smart kiosks, and detection of noise level, glass breaks, and gunshots. Smart technology will make indoor spaces safer by controlling access to a building with keyless and touchless entry. In the age of COVID, systems can also detect face mask compliance, screen for fever, and ensure physical distancing. 2020 was an inflection point when technology and the smart cities market were ripe for disruption, Kasia Hanson told the MIPS 2021 audience. Video solutions Video workloads will provide core capabilities as entertainment venues reopen after the pandemic. When audiences attend an event at a city stadium, deep learning and AI capabilities analyze customer behaviors to create new routes, pathways, signage and to optimize cleaning operations. Personalized digital experiences will add to the overall entertainment value. In the public safety arena, video enables core capabilities such as protection of people, assets, and property, emergency response, and real-time visualization, and increased situational awareness. Video also provides intelligent incident management, better operational efficiency, and faster information sharing and collaboration. Smart video strategy Intel and Milestone provide video solutions across many use cases, including safety and security Video at the edge is a key element in end-to-end solutions. Transforming data from various point solutions into insights is complicated, time-consuming, and costly. Cities and public venues are looking for hardware, software, and industry expertise to provide the right mix of performance, capabilities, and cost-effectiveness. Intel’s smart video strategy focuses around its OpenVINO toolkit. OpenVINO, which is short for Open Visual Inference and Neural network Optimization, enables customers to build and deploy high-performing computer vision and deep learning inference applications. Intel and Milestone partnership – Video solutions “Our customers are asking for choice and flexibility at the edge, on-premises and in the cloud,” said Hansen in her presentation at the virtual conference. “They want the choice to integrate with large-scale software packages to speed deployment and ensure consistency over time. They need to be able to scale computer vision. Resolutions are increasing alongside growth in sensor installations themselves. They have to be able to accommodate that volume, no matter what causes it to grow.” As partners, Intel and Milestone provide video solutions across many use cases, including safety and security. In effect, the partnership combines Intel’s portfolio of video, computer vision, inferencing, and AI capabilities with Milestone’s video management software and community of analytics partners. Given its complex needs, the smart cities market is particularly inviting for these technologies.

What Are the Physical Security Challenges of Smart Cities?
What Are the Physical Security Challenges of Smart Cities?

The emergence of smart cities provides real-world evidence of the vast capabilities of the Internet of Things (IoT). Urban areas today can deploy a variety of IoT sensors to collect data that is then analyzed to provide insights to drive better decision-making and ultimately to make modern cities more livable. Safety and security are an important aspect of smart cities, and the capabilities that drive smarter cities also enable technologies that make them safer. We asked this week’s Expert Panel Roundtable: What are the physical security challenges of smart cities?

New Markets For AI-Powered Smart Cameras In 2021
New Markets For AI-Powered Smart Cameras In 2021

Organizations faced a number of unforeseen challenges in nearly every business sector throughout 2020 – and continuing into 2021. Until now, businesses have been on the defensive, reacting to the shifting workforce and economic conditions, however, COVID-19 proved to be a catalyst for some to accelerate their long-term technology and digitalization plans. This is now giving decision-makers the chance to take a proactive approach to mitigate current and post-pandemic risks. These long-term technology solutions can be used for today’s new world of social distancing and face mask policies and flexibly repurposed for tomorrow’s renewed focus on efficiency and business optimization. For many, this emphasis on optimization will likely be precipitated by not only the resulting economic impacts of the pandemic but also the growing sophistication and maturity of technologies such as Artificial Intelligence (AI) and Machine Learning (ML), technologies that are coming of age just when they seem to be needed the most.COVID-19 proved to be a catalyst for some to accelerate their long-term technology and digitalization plans Combined with today’s cutting-edge computer vision capabilities, AI and ML have produced smart cameras that have enabled organizations to more easily implement and comply with new health and safety requirements. Smart cameras equipped with AI-enabled intelligent video analytic applications can also be used in a variety of use cases that take into account traditional security applications, as well as business or operational optimization, uses – all on a single camera. As the applications for video analytics become more and more mainstream - providing valuable insights to a variety of industries - 2021 will be a year to explore new areas of use for AI-powered cameras. Optimizing production workflows and product quality in agriculture Surveillance and monitoring technologies are offering value to industries such as agriculture by providing a cost-effective solution for monitoring of crops, business assets and optimizing production processes. As many in the agriculture sector seek to find new technologies to assist in reducing energy usage, as well as reduce the environmental strain of modern farming, they can find an unusual ally in smart surveillance. Some niche farming organizations are already implementing AI solutions to monitor crops for peak production freshness in order to reduce waste and increase product quality.  For users who face environmental threats, such as mold, parasites, or other insects, smart surveillance monitoring can assist in the early identification of these pests and notify proper personnel before damage has occurred. They can also monitor vast amounts of livestock in fields to ensure safety from predators or to identify if an animal is injured. Using video monitoring in the growing environment as well as along the supply chain can also prove valuable to large-scale agriculture production. Applications can track and manage inventory in real-time, improving knowledge of high-demand items and allowing for better supply chain planning, further reducing potential spoilage. Efficient monitoring in manufacturing and logistics New challenges have arisen in the transportation and logistics sector, with the industry experiencing global growth. While security and operational requirements are changing, smart surveillance offers an entirely new way to monitor and control the physical side of logistics, correcting problems that often go undetected by the human eye, but have a significant impact on the overall customer experience. Smart surveillance offers an entirely new way to monitor and control the physical side of logistics, correcting problems that often go undetected by the human eye. Video analytics can assist logistic service providers in successfully delivering the correct product to the right location and customer in its original condition, which normally requires the supply chain to be both secure and ultra-efficient. The latest camera technology and intelligent software algorithms can analyze footage directly on the camera – detecting a damaged package at the loading dock before it is loaded onto a truck for delivery. When shipments come in, smart cameras can also alert drivers of empty loading bays available for offloading or alert facility staff of potential blockages or hazards for incoming and outgoing vehicles that could delay delivery schedules planned down to the minute. For monitoring and detecting specific vehicles, computer vision in combination with video analysis enables security cameras to streamline access control measures with license plate recognition. Smart cameras equipped with this technology can identify incoming and outgoing trucks - ensuring that only authorized vehicles gain access to transfer points or warehouses. Enhance regulatory safety measures in industrial settings  Smart surveillance and AI-enabled applications can be used to ensure compliance with organizational or regulatory safety measures in industrial environments. Object detection apps can identify if employees are wearing proper safety gear, such as facial coverings, hard hats, or lifting belts. Similar to the prevention of break-ins and theft, cameras equipped with behavior detection can help to automatically recognize accidents at an early stage. For example, if a worker falls to the ground or is hit by a falling object, the system recognizes this as unusual behavior and reports it immediately. Going beyond employee safety is the ability to use this technology for vital preventative maintenance on machinery and structures. A camera can identify potential safety hazards, such as a loose cable causing sparks, potential wiring hazards, or even detect defects in raw materials. Other more subtle changes, such as gradual structural shifts/crack or increases in vibrations – ones that would take the human eye months or years to discover – are detectable by smart cameras trained to detect the first signs of mechanical deterioration that could potentially pose a physical safety risk to people or assets. Early recognition of fire and smoke is another use case where industrial decision-makers can find value. Conventional fire alarms are often difficult to properly mount in buildings or outdoor spaces and they require a lot of maintenance. Smart security cameras can be deployed in difficult or hard-to-reach areas. When equipped with fire detection applications, they can trigger notification far earlier than a conventional fire alarm – as well as reduce false alarms by distinguishing between smoke, fog, or other objects that trigger false alarms. By digitizing analog environments, whether a smoke detector or an analog pressure gauge, decision-makers will have access to a wealth of data for analysis that will enable them to optimize highly technical processes along different stages of manufacturing - as well as ensure employee safety and security of industrial assets and resources. Looking forward to the future of smart surveillance With the rise of automation in all three of these markets, from intelligent shelving systems in warehouses to autonomous-driving trucks, object detection for security threats, and the use of AI in monitoring agricultural crops and livestock, the overall demand for computer vision and video analytics will continue to grow. That is why now is the best time for decision-makers across a number of industries to examine their current infrastructure and determine if they are ready to make an investment in a sustainable, multi-use, and long-term security and business optimization solution.