It seems every sector of the technology world is racing to the Cloud except video surveillance, which has yet to fully embrace this new frontier. In this post, I want to explore the video surveillance industry’s main considerations in moving to the Cloud, the advantages of developing cloud-based video solutions, and the current state of the video space and the Cloud. What’s holding video back from reaching for the Cloud? The video industry isn’t one to shy away from innovation and is constantly developing new ways to optimize its value. But, when it comes to the Cloud, the video surveillance industry has many considerations to account for: Bandwidth – uploading video to the Cloud requires a lot of bandwidth and relies on high speed, highly available network connections. Organizations and users must weigh the expense of using more bandwidth against the costs of maintaining the on-premise infrastructure, while keeping in mind the bandwidth limitations in transferring data to the Cloud. Storage – do the perks of storing data in the Cloud – such as less IT and infrastructural maintenance – outweigh the conveniences and lower costs of maintaining the status quo and storing video on-premise? Security & Accessibility – the Cloud makes stored video more widely accessible across organizations, but also creates vulnerabilities, such as Internet outages and security breaches. Organizations should evaluate whether they have the internal resources to protect their on-premise data or whether they better off relying on Cloud-based video service providers. The advantages of the Cloud for video With all these factors to consider, it’s important to stress the clear advantages and new opportunities for innovation and optimization that the Cloud provides: The Cloud is an excellent platform for application developers to provide video-related value added services that benefit from remote access on mobile devices, big data fusion and a short development cycle. The Cloud can be used to store data to help reduce the organization’s infrastructural needs To significantly reduce the bandwidth and storage costs, video analytics solutions can pre-process the video on-premise and upload to the Cloud only the metadata and events of interest. In fact, video solutions providers are already using the Cloud for these express purposes and others. Leading VMS players already leverage the Cloud: Genetec’s Security Center cloud services combine on-premise systems with a cloud-based offering for reducing hardware and reliance on corporate IT, while the Milestone Systems spin-off, Arcus Global, has been launched by Canon to support users that want to embrace video IoT in the Cloud. Looking to the Cloud: what lies ahead for the video space? There are many ways to leverage the Cloud to enjoy its benefits. That being said, there is still a ways to go before the Cloud is being utilized to its fullest potential. Cloud-based value added services will likely be significant drivers in Cloud adoption; however, many providers are hesitant to develop these solutions while adoption is still slow – likely because users are waiting for value-added services that justify moving to become available. Looking ahead, a good starting point for the video space is to leverage the Cloud for home-based solutions or those designed for small businesses. With less video and less heavy content to store, this is a good test case for gauging the utility of the Cloud before moving forward with solutions for bigger enterprises seeking the flexibility and scalability the Cloud can offer. Another possibility is to leverage the Cloud for video analytics purposes. Cloud-based applications for detecting motion in video already exist, and more sophisticated object extraction and indexing capabilities will likely develop over time. As video technology becomes more sophisticated, cloud innovation will also advance – perhaps these industries’ joint progress will soon make moving to the Cloud a foregone conclusion for the video space.
Articles by author: Lizzi Goldmeier
MODI'IN TECHNOLOGY PARK, Israel, July 10, 2017 -- BriefCam®, the industry's leading provider of Video Synopsis® solutions for rapid video review, search, and analysis, today announced new executive leadership by naming Trevor Matz as President and CEO. Matz succeeds Dror Irani, who has served as BriefCam's President and CEO since 2010. Irani spearheaded the company's transition from a technology-based start-up to being recognized as the de facto standard for video analytics solutions by hundreds of prestigious customers throughout the Federal Government, Security, Law Enforcement and Transportation Agencies, F500 Enterprises, Healthcare and Educational Institutions, and Safe/Smart Cities across the globe. "On behalf of the Board and BriefCam, I want to thank Dror for his dedicated leadership and significant contribution to the company and wish him much success in the future," said Gideon Ben-Zvi, Co-founder & Chairman of BriefCam. "BriefCam is exceptionally well positioned to continue to take advantage of the rapidly growing Video Analytics market, and Trevor Matz is the right CEO to lead us into the future and capitalize on this opportunity." Matz, a high-tech software veteran and serial entrepreneur, has built and led world-class enterprise software companies globally. Previously, Matz was President and CEO of Aternity, Inc., a leading provider of End User Experience (EUE) and application performance monitoring solutions. Under Matz's leadership Aternity was repeatedly recognized by industry influencers and analysts as delivering best-in-class EUE solutions. With Matz at the helm, Aternity was embraced by household brands throughout every industry, leading to the company's 2016 acquisition by Riverbed Technology. Prior to Aternity, Matz served as worldwide managing director of Application Integration for InterSystems Corporation where he took Ensemble from launch through recognition as the #1 Integration Platform in HealthCare. Before his global responsibilities for InterSystems integration initiative, Matz served as managing director for the Eastern Mediterranean, Middle East, India, and Africa. "This is an exciting time for BriefCam and I am thrilled to join the team," said Trevor Matz. "BriefCam's state-of-the-art technology reduces the time and effort needed to conduct video reviews, post-event video investigations, and real-time video monitoring. Now is the time for BriefCam to capitalize on the massive opportunity to expand its footprint into new markets, both on the business and consumer-side. I am looking forward to working with our employees, customers, and strategic partners to deliver video analytics solutions that will provide game-changing efficiency and effectiveness to security, operational and management teams everywhere." "We're grateful for Dror's steadfast commitment to BriefCam and for driving the commercialization and adoption of Video Synopsis technology into so many markets," said Professor Shmuel Peleg of Hebrew University, Co-founder and Chief Scientist of BriefCam. "The ability to transform video data into useful and actionable information provides boundless opportunities for worldwide growth. Trevor has an exceptional record for building high-performance organizations and I am looking forward to helping ensure a successful leadership transition." About BriefCam BriefCam's patented Video Synopsis® technology, developed at the Computer Science Department of the Hebrew University in Jerusalem, enables the review of hours of video in just minutes. By transforming video data into actionable intelligence, BriefCam's video analytics solutions dramatically shorten the time-to-target for security threats while increasing operational efficiencies and quality of service for businesses. BriefCam Syndex® Pro products are deployed by law enforcement and public safety organizations, government and transportation agencies, major enterprises, healthcare and educational institutions, and local communities worldwide. BriefCam's groundbreaking technology has been recognized with a series of industry accolades including The Wall Street Journal Technology Innovation Award, Security Products Magazine New Product of the Year, SIA New Product Showcase Best in Video Analytics Award, and CNBC Europe's 25 Most Creative Companies. Follow BriefCam on Twitter and engage with us on LinkedIn. Learn more at www.briefcam.com. ©2017 BriefCam, Ltd. All other trademarks or trade names are properties of their respective owners. All rights reserved.
This blog was originally posted by our partner Genetec at https://www.genetec.com/about-us/news/blog/partner-perspective-briefcam#.WVH16WiGO71 Too often when we think about video analytics applications, we immediately jump to how video data can optimize security. With the transition from analog to IP video systems and dramatic improvement in video quality, insights derived from video are becoming invaluable for urban development and planning, and access to video analytics is fast becoming a key competitive differentiator for cities moving forward. Smart Cities are ones that utilize video data to improve residents’ quality of life, optimize municipal operations and, of course, secure the environment. Cities require an easy way of measuring the efficacy of public infrastructure, transportation services, and urban landscape. While the value of video surveillance is clear, often cities cannot capitalize on their investment in video, because they lack the tools to take advantage of the huge amount of video data collected. A real competitive edge for Smart Cities is the ability to review volumes of video quickly, gain a full scene understanding, analyze both moving objects and background, classify objects, investigate interactions between objects, categorize behavior of objects, and on top of it all, generate statistical information. Delivering the promise of video analytics Video analytics based on Video Synopsis® enables reviewing hours of video in just minutes, converting large amounts of video data into useful information that cities can effectively act upon. By accelerating the monitoring of city operations, municipalities can oversee processes, evaluate them and deploy more efficient solutions to increase resident satisfaction and attract new residents to the city. It is clear that video surveillance is an essential component of any Smart City strategy, but how is the extracted data used, in practice, to improve the quality of life within these cities? One major application is security. Collectively, crime, vandalism, and noncompliance with city regulations can negatively impact the day-to-day experience of living in an urban setting. With the proper tools and data resources, cities can optimize their daily operations while providing a safe environment, by: Accelerating response time Detecting loitering and trespassing Minimizing vandalization of public spaces Controlling and monitoring crowds Managing events proactively From safe to smart Video is the richest sensor in a city environment and by leveraging its rich content cities can transition from safe to smart. Video data can be used for optimizing municipal operations, providing insight for predictive city management and enabling several practical applications. For instance, the city can monitor vehicular traffic and easily note where and when congestion occurs. Armed with this information, the city could design more efficient traffic patterns, plan to expand high-traffic roads or even increase public transport options. With proactive video analytics, cities can monitor and enforce additional services, such as public parking, to easily see where parking is available and whether residents are breaking parking regulations. They can quickly learn when cars are moving in restricted directions or evaluate heat maps to see where garbage is being disposed improperly. The city can also provide useful data to its main stakeholders, such as large enterprises, hospitals, and universities, to help streamline their operations as part of increasing city-wide efficiency and efficacy. The combined effect of these small details can have an impact on overall quality of life for residents, and the ability to proactively prevent them and respond to them is critical for Smart Cities. The growing need for reliable video analytics solutions that add value beyond security transcends industries, verticals, and geographies. And as the use of GPU expands, advancing deep learning analysis, data can more effectively be analyzed at a lower cost. These developments will progress video analytics capabilities to new heights, with data aggregation enabling the prediction of future activity and potential threats, truly delivering the long-awaited promise of big data in the video space for Smart Cities and beyond. To learn more about the integration of BriefCam Video Synopsis technology within the Genetec Security Center unified platform, read Genetec's partner tech note.
The recent advances in video analytics technology are revolutionizing security and facilitating the ability to turn video data into useful information for fast, accurate and proactive security management. Optimize reactive investigation When it comes to security, speedy response is essential. While video surveillance has always been a key resource for security organizations and police units, traditionally timing hasn’t been the strong suit of this medium. Watching video from surveillance cameras is time-consuming and tiring, making it difficult for viewers to focus and to identify threats as they develop. In fact, Accenture estimates that, after twenty minutes of reviewing surveillance footage, 95% percent of incidents are likely to be missed, while 98% of footage is never viewed. With video analytics based on Video Synopsis® technology, investigators can overcome the limitations of timing that have inhibited their reliance on video footage in the past. The ability to watch hours of video in minutes and to see all video events and objects simultaneously, means that a single investigator can function as many. According to Hartford, CT Police Chief James Rovella “this is imperative, because we can't have 30 people sitting, watching cameras” to quickly find targets and identify suspects. Furthermore, because Video Synopsis indexes and classifies all the objects in the original footage, the investigator can apply filters to focus search criteria when looking for specific targets. This also helps in cases when there is no known suspect, because the investigator can rapidly review footage to identify potential perpetrators. Suspicious behavior can be identified using heat maps, as well, which can be applied to detect loitering and movement in restricted areas. Adopt proactive investigation Oftentimes, the best course of action for security teams is to handle events as they unfold, and it’s not enough to simply review the footage. Today’s video analytics solutions offer real-time alerts for: Improving situational awareness Updating security personnel to suspicious behavior Analyzing complex scenes quickly and effectively This helps maintain safety and quickly restore security when it is disrupted. In addition to real-time notifications, video analytics solutions can also offer statistical reporting, to give a high-level overview of activity and events in videos, enabling investigators to: Automatically schedule reports to share work progress Easily present investigation results in an organized manner Identify key trends over time with statistics All these lead to more proactive case management and more effective communication for security teams. But this isn’t the only way video analytics helps manage investigations more effectively, it also provides the tools to keep all security personnel informed and focused. The ability to quickly drill down to the exact details needed to solve a case, without tediously having to filter through extraneous data and footage, enables security teams to streamline their operations and work efficiently. While we don't often have the opportunity to view a video investigation side-by-side using different techniques, one thing that we do see from time to time is re-investigating offloaded video for cases that have been archived as unsolved. Such cases can be solved faster by applying video analytics based on Video Synopsis. Though on first glance you might think video could slow down investigative work, with advances in Video Synopsis and analytics, video has become an invaluable resource for solving crimes quickly and effectively, on the reactive and proactive level. Is the industry ready for the next level? Stay tuned for my thoughts on predictive video analytics.
Typically, the words video surveillance have a governmental and security connotation. And hearing those words in the context of home-based elderly care, seems a bit harsh: What happened to respecting the elderly’s personal dignity – not to mention privacy? You’d be surprised with the answers: According to National Aging in Place Council, 90 percent of older adults would prefer to age in place rather than move to senior housing. According to CDC, aging in place is the ability to live in one’s own home and community safely, independently, and comfortably, regardless of age, income, or ability level. And, when weighing the pros and cons of aging in place, what are a few cameras – to which you can quickly acclimate – compared to living independently in one’s own home? Many adjustments must be made to turn the desire of aging in place to a safe and sustainable reality for the elderly community. Changes vary and whether it’s making the 10 changes the Washington Post proposes or implementing the 7 suggestions provided by AARP, these adjustments are just one angle of ensuring successful aging in place in the best possible way. Analyzing this issue from a different angle takes us back to video surveillance which, in light of the above, should now sound less controversial. In fact, the connotation should now be protection, personal integrity and quality of life. When you take video surveillance and add video analytics, you can see the clear advantage of a cost-efficient, time saving and easily implemented solution for aging in place. For example, consider the case of an elderly parent, who is independent and wishes to live happily in his or her home, yet tends to forget to turn off the burners on the stove after making breakfast, or forgets to take medication twice a day. By applying home Video Synopsis® and analytics to IP cameras installed at your parent’s home, you can receive real-time alerts that you define, review your parent’s day in just minutes and ensure their quality of life is maintained with minimal interference and hassle. The ability to remotely check on your parents while remaining sensitive to their privacy, and of staying close to them from afar, is a game changer. And, if your parent lives with a caregiver, monitoring the service and ensuring proper behavior is essential for your parent’s well being. There are additional angles to home video analytics that go beyond safety and physical well being. Connecting other sensors in the house to video analytics takes aging in place safely to aging in place smartly. More on that in the future.
LOS ANGELES, June 5, 2017 -- Arecont Vision®, the industry leader in IP-based megapixel camera technology, has announced an expansion of the Technology Partner Program by adding BriefCam, the Video Synopsis® Company. BriefCam’s video analytics offering is available in the Arecont Vision MegaLab™ as part of the partnership in support of mutual customers. “A reliable end-to-end video analytics solution has become a must for any player in the security industry today,” said Amit Gavish, BriefCam’s General Manager of Americas. “Arecont Vision’s megapixel cameras, coupled with BriefCam Syndex Pro, enables organizations to analyze huge amounts of video data effectively, achieving safe environments and facilitating proactive management of events.” BriefCam Syndex Pro helps organizations improve security and operations by turning video data into useful information. Based on BriefCam’s Video Synopsis technology, Syndex Pro allows users to review hours of video in minutes, while applying search filters for achieving accurate results and faster time-to-target. “The innovation that BriefCam has put into their products allows for customers to take advantage of the latest and greatest, best-of-breed video technology available in the security market," said Jason Schimpf, Director Marketing Programs, Arecont Vision. “I am very excited to have a company like BriefCam in the Arecont Vision Technology Partner Program as they provide valuable and reliable video analytics to the benefit of our customers.” Arecont Vision megapixel cameras increase situational awareness, reduce both surveillance project costs and installation time, and offer unique protection against cyberattacks unmatched by other vendors. Arecont Vision products are the leading single- and multi-sensor megapixel cameras in the industry today, having contributed more innovative designs and technology than any other company. Arecont Vision designs and builds our cameras in America (Buy American Act 41 U.S.C. §§ 8301-305 and FTC Made in USA compliant), and provides award-winning customer support worldwide. Partnering through the Arecont Vision Technology Partner Program with leading video analytics companies such as Briefcam offers more choices to customers for complete solutions. As part of the program, sales, development, and support contacts are established between the two companies to better engage with end users and their systems integrators, test new features and technology, and quickly resolve any support issues. ABOUT ARECONT VISION Arecont Vision is the leading manufacturer of high-performance megapixel IP cameras. Arecont Vision products are made in the USA. MegaVideo® and SurroundVideo® massively parallel image processing architectures are now in their 5th generation and represent a drastic departure from traditional analog and network camera designs. ABOUT BRIEFCAM BriefCam® develops and delivers Video Synopsis® solutions, empowering organizations to validate their investment in video by gaining value from video-data across all levels of organizations, maximizing security, operations and business insights.
How do you effectively monitor video from the numerous cameras spread across an airport when, according to ACI, the traffic of the world’s 20 busiest air passenger hubs grew 4.7% in 2016, with over 1.4 billion passengers passing through their airports in 2016? How do you streamline operations when year-over-year growth for 2016, compared to 2015 is as follows? Total passengers: +5.6% Total international passengers: +6.6% Total cargo (includes mail): +3.3% Total international freight: +4.3% Total aircraft movements: +2.3% How do you maintain security and safety in today’s reality (and these are just a few examples…)? March 2017 Île-de-France attacks 2016 Atatürk Airport attack 2016 Brussels bombings With a continuous increase in passenger volume, strict requirements from governments and homeland security, and continuous terrorist threats in the background, it’s fortunate for airports that video analytics technologies have reached a whole new level. By using video analytics, airports can gain control over security and operational management without having to allocate huge resources to the matter. Coupled with Video Synopsis®, airports now have bionic eyes and brains to assist with achieving security and safety, alongside compliance and efficiency across the airport. With thousands of cameras already installed in airports, video analytics based on Video Synopsis enables rapid review of huge amounts of data for enhanced security, while extracting useful statistical information to improve operational performance, save money, gain business insights and identify key trends over time. For airports, the range and variety of use cases covered by video analytics is huge: from tracking objects, managing queues and crowds, identifying unattended bags, monitoring passenger flow, controlling restricted areas and counting objects, to reducing risk and mitigating liability, optimizing staff performance, enhancing passenger satisfaction and improving the airport’s retail environment. And the list carries on and on. So much takes place behind the scenes before you can truly wish someone bon voyage. Putting video analytics to play is the most effective and reliable way for ensuring safe and pleasant travels.
Universities, colleges and schools are constantly challenged with how to ensure the safety and wellbeing of students and staff. According to Campus Safety, the majority of campuses believe video surveillance is the answer to their security needs. In fact, more than 9 in 10 campuses have installed surveillance cameras, and 79% of the campuses without cameras plan to install them in the next 3 years. On top of managing campus security, many educational institutions function as a mini-city alongside a profitable business, entailing various additional challenges. Not to underestimate the importance of security and its connection video surveillance cameras, but that’s a no brainer. The more intriguing questions would be: 1. Can the video from the campus cameras be used more effectively, enhancing security? 2. Can the same video from the cameras be used for additional applications beyond security? One solution addresses both questions: video analytics. To answer question #1, by using video analytics based on Video Synopsis®, campuses can review hours of video in just minutes, while applying sophisticated search filters to quickly find what they’re looking for. With the ability to review video rapidly, institutions can cover their entire campus – indoors and outdoors – with cameras, ensuring full coverage and control at all times. After all, what’s the point of a surveillance camera without an effective way to make use of what the camera is recording. The answer to question #2 requires keeping an open mind: the right video analytics solution can use the same video from campus cameras for other purposes than security. Without having to install additional software. How? The required video footage is processed only once and then manipulated per demand for various applications. When dealing with theft or attack on campus, the security department would review the relevant video and by applying Video Synopsis could achieve faster time-to-target with accurate investigation results, while managing future events proactively. Then, using the same video analytics software other stakeholders in the institute could generate statistical reports, enabling them to understand if and where there is a liability issue, such as a slippery path, lack of light, crowded exit, intruder, lack of privacy, etc. From a business perspective, this is where applying video analytics can be a real game changer: using the same video data to improve operations across campus, monitoring relevant activities, ensuring student satisfaction, gaining insights for future expansion of the campus, etc. Market experts believe that security technology for campuses will become even stronger than it was in 2016. And, with video analytics playing a key role, security is just the tip of the iceberg.
On the heels of the WannaCry ransomware crisis that had organizations worldwide reeling, we decided to take this opportunity to talk about how to protect your VMS and video analytics systems against cyber vulnerabilities. While the WannaCry attack did not affect IP cameras, VMS systems are not immune to security issues and it is important to be aware of how VMSs and the video analytics solutions integrated to them are affected by cyber threats. GenX security solutions has recently reported about the arrest of two London based individuals who were suspected of hacking into network video recorders in Washington D.C. just days before President Trump’s inauguration. Effectively, this hack disabled 123 of 187 network video cameras from recording, preventing video surveillance of most of the city until the recorders could be taken offline for the malicious software to be removed. Beyond these very practical threats to physical security, hacking into network based camera systems could offer back door access to wider corporate networks, posing even larger scale privacy and data security risks. To prevent these types of attacks, make sure to use a dedicated server for surveillance systems instead of putting company information on the same server you use for your VMS. Today, some forward-thinking video surveillance systems are built with cyberattacks in mind, and include additional functionality to protect against these threats. However, Security Today explains that, as the industry transitions from analog to IP cameras, not all camera manufacturers have built in protection against cyber threats. This could be because when IT safeguards are added after the actual installation of the video surveillance system, then the performance of the network could be irreparably damaged. Moving forward, VMS systems with IP cameras are likely to become more robust, with built-in protections against these types of attacks. But what does all this mean for your video analytics solution connected to the VMS? The most important thing to know is that, if you VMS has been hacked, the main practical application that might affect your video analytics activities is simply that, when your VMS stops recording video, your video analytics solution will not have video to analyze and process. Beyond that, any sophisticated video analytics system you use should: Provide you with password protected access and a limited IP address range, to prevent hackers from accessing sensitive information Implement its processing units to the VMS architecture as stand-alone components, so that even if a VMS lacks sufficient protection, risks to the video analytics platform are mitigated Protect you in all scenarios, so that even when the analytics processing software is based on video file handling and not VMS, you are fortified against attacks In today’s day and age, no one is 100% safe from cyber threats, but by taking the proper precautions and using intelligent video analytics platforms, you can keep your video data safe, even when you’re VMS has come under attack.
In my last blog post, I talked about the cost efficiency of GPU-powered video analytics, and how a major advantage of GPU processing is the enablement of deep learning techniques. In today’s post, I’d like to delve deeper into what deep learning is and what it enables video analytics solutions to achieve. Deep learning techniques use deep neural networks (DNNs) to train computer systems, imitating the way a human is taught and learns. Historically, deep learning has been possible since the 80s, but it took until now to really gain traction in video analytics because CPU-based processors were too slow for training neural networks effectively. Today, deep learning, running on GPUs, can be used for efficiently detecting, classifying and recognizing features and objects in video. These capabilities have transformed the video analytics industry by allowing security applications to work out-of-the-box on a broad spectrum of scenarios. Increased coverage and cost-efficient processing allows systems to continuously process more cameras and aggregate metadata over time, making video more accessible. This, in turn helps users to gain deeper insights from previously unused video. Beyond video analytics, deep learning techniques “are crucial to unleashing improvements in robotics, autonomous drones, and, of course, self-driving cars” (Source: Why Deep Learning is Suddenly Changing Your Life). Deep learning is a great development tool because it can complete many activities simultaneously. Multiple algorithms were once needed to compute different aspects of video analysis, but deep learning can solve many problems at once and, as it learns more, it becomes more equipped to solve more complex problems over time. The main challenge of deep learning is the large amount of annotated data required for effective training. The annotation process often involves labor intensive and repetitive manual work. It is often worthwhile to invest in annotation tools and in automatically generating annotation proposals. In addition, there is significant research in the field of unsupervised learning that will alleviate the need for manual annotation. Here are some other challenges to consider when adopting deep learning: While it’s beneficial for the system to solve problems independently, this means there is less visibility into how the problem was solved If the system isn’t exposed to a broad enough variety of data, it could reach wrong, often unexpected conclusions The GPU-processing needed to enable deep learning can be demanding and expensive to run The technology is rapidly evolving, so developers need to follow academic research and frequently re-assess their algorithms (agile) It is clear that the benefits of deep learning in video analytics, and many other fields, greatly surpass the challenges. It will be interesting to see how the technology develops as processing and automation technology improve. Perhaps in the future, systems will be so well-trained machines will be able to predict and interpret unfamiliar scenarios independently, and help provide further insight for improving security, business intelligence and quality of life. If you’re attending the GPU Technology Conference this week, you can learn more about Leveraging Deep Learning and GPUs to Accelerate Surveillance Video to Insight in a session with my colleague, Amit Gavish, BriefCam General Manager of Americas.