Category: Feature

Demand for professional video surveillance cameras has been growing quickly and is forecast to continue growing in 2018. It is estimated that less than 10 million surveillance cameras were shipped globally in 2006, which grew to over 100 million in 2016, and is forecast to make over 130 million during 2018. Despite this increase in demand, the average price of cameras and other video surveillance equipment will continue to fall quickly. As a result, IHS Markit forecasts that in terms of US dollar revenues the world market for video surveillance equipment will grow at an annual rate of less than 6% in 2018. It will be challenging for vendors to continue to grow revenues and margins, but there will be opportunities for well-placed vendors. For example, both the South East Asian and Indian markets are forecast to grow at higher than average rates. There is also great potential for the next generation of products powered by technologies like deep learning and cloud computing. So, what will be the big stories during 2018? Deep learning, GDPR compliance and drone detection technologies are just some of the trends discussed in this eighth annual trends IHS white paper. The following articles are designed to provide some guidance on the top trends for 2018 in the video surveillance industry.     By Jon Cropley   The A to I of Video Surveillance Terminology The past 12 months have seen a range of new terms becoming regularly used in the video surveillance industry. We attempt to provide a brief summary of some of these. AI (artificial intelligence): Computers are able to perform specific tasks as well as, or even better than human intelligence. In the context of video surveillance, AI is used in the field of computer vision to classify visual images and patterns within them. Big data: Huge amounts of different information are  stored, organized and analyzed by computers to identify trends, patterns, and relationships. In the context of video surveillance, the data could be metadata describing hours of video surveillance footage combined with other data sources to highlight patterns relating to security or business operations. Cloud computing: Instead of using a local server to store or manage video surveillance data, use a network of internet-connected remote servers. Generally this network has the ability to provide additional resource if and when required from a larger available pool. The available resource may be clustered into a datacenter or network of datacenters. These may be private (entirely or partly owned for exclusive use by specific organization/s) or public (resource accessible to multiple separate users). Deep learning: A branch of machine learning and subset in the field of AI. Deep learning makes use of algorithms to structure high-level abstractions in data by processing multiple layers of information, emulating the workings of a human brain (a neural network). Edge computing/ storage: Performing data processing and analytics/ storage closest to the source of the data (normally, in this context, in a video surveillance camera). Face recognition: When a video surveillance system can automatically match a person’s face against a database of individuals. GPU (graphics processing unit): A programmable chip specialized for use in image processing. Due to the requirement to be able to simultaneously processing multiple large data blocks required in modern image processing, GPUs have been found to be highly suitable for deep learning/ neural network processing. H.265 (or MPEG-4 part 2): H.265 is a video compression codec standard approved by the International Telecommunications Union (ITU-T). Compared with H.264, H.265 has the potential to use 30-40% less bandwidth for a video stream of the same quality. IoT (Internet of things): IoT is not a specific device or technology – it is a conceptual framework, driven by the idea of embedding connectivity and intelligence in a wide range of devices. IHS Markit defines an IoT device as a device which has some form of embedded connectivity that allows the device to be directly connected to the internet (i.e., IP addressable), or allows the device to connect (tether) to an IP addressable device. In the context of video surveillance, this could be using video surveillance data with other sensors or sources of information.   IHS Analyses  Big Differences between the Chinese Market and the Rest of the World  By –  Jon Cropley General Data Protection Regulation (GDPR)   By – Josh Woodhouse Video Surveillance Fault Tolerance   By – Josh Woodhouse Forensic Video Analytics as a Service   By – Josh Woodhouse The Evolution of Deep Learning in Video Surveillance   By –  Monica Wang Drone Detection Technologies   By –  Oliver Philippou  

Genetec Inc. has recently introduced a new version of Security Center, an open-architecture platform that unifies video surveillance, access control, automatic license plate recognition (ALPR), communications, and analytics. Security Center 5.7 allows users to make insight-driven decisions based on security and analytics data. This latest version also adds privacy protection for individuals, efficiently distributes HID mobile access control credentials, and ensures business continuity with native access control fail-over. Protecting data, the network, and the organization Cyber resilience is about securing communications, authenticating users, and protecting businesses from employees unwittingly allowing vulnerable network-connected devices to threaten the business. To improve overall cybersecurity, Security Center now automatically identifies whether connected edge devices are running the most recent and secure device firmware. Once notified of known vulnerabilities and given firmware recommendations, administrators can take immediate action and eliminate known security gaps. ‘GDPR-ready’ privacy and video analytics More than a trend, protecting individual privacy is fast-becoming a necessity of security management. In some regions like Europe, it is already becoming codified in law. By embedding the KiwiVision™ Privacy Protector ™ module, Genetec enables organizations to automatically blur and mask sensitive video, and anonymize people to protect their privacy. Privacy protector was recently re-certified for its fourth consecutive term with the European Privacy Seal (EuroPriSe), and remains the only video solution to hold this certification.Privacy protector is also rated as ‘GDPR-ready,’ meeting the stringent compliance criteria of the General Data Protection Regulation (GDPR), which will go into effect May 25th, 2018 in the European Union. The KiwiVision Intrusion Detector™  module is also unified with SecurityCenter 5.7 to generate real-time alarms that automatically notify security staff when individuals or vehicles enter sensitive areas, secured perimeters, or restricted zones. Through an accompanying analytics-based intrusion report, operators can now engage in deeper investigations. Additionally, to assist users in scanning through hours of footage, a new Quick Search forensics tool identifies changes in recorded scenes in seconds, ignoring irrelevant footage to narrow down searches. Enterprise access control with native failover and HID mobile credential support The Security Center Synergis™ access control system now comes with built-in failover, so customers can take advantage of continuous monitoring of devices and events. This safeguards critical information and ensures business continuity, even when servers fail. The new HID Mobile Access Portal API integration allows organizations to efficiently deploy mobile credentials to their employees, contractors, and visitors. These credential holders receive an email to download the HID Mobile Access Portal application on their devices, which enables access via Bluetooth® or NFC wireless technology. Employees and visitors will now be able to use their smartphone, wearables, and tablets to gain approved access credentials to securely open doors and defined areas of the premises. Insight-driven reporting and decision support The new advanced Security Center reporting feature intuitively displays data in dynamic charts and graphs, helping organizations gain a deeper understanding of their data, identify trends, and spot undetected patterns. Visualization of physical security data can be employed to quickly isolate security gaps and suspicious activity, identify maintenance issues, find valuable opportunities to improve operations, and ultimately make smarter decisions.    

The hospitality industry is constantly evolving. Hotels focus on leveraging technology to enhance the user experience, which includes streamlining processes and adding additional amenities that draw repeat visits. At the same time, efforts to maintain the safety and security of individual hotels and hotel chains face a sea change. Although security began as a property protection function, it has broadened to include plans to mitigate several types of threats, ranging from fraud and malfeasance to terrorism to response to major events including natural and manmade disasters. It is clear from the growing demand for technology solutions within this segment that hospitality is very focused on ensuring a safe environment for those inside the facility. Hotels strive to deliver exceptional customer service while balancing the safety and security of guests, employees and visitors with a welcoming environment. Modern risks, including those related to cybersecurity, liability and compliance, have propelled the need for stringent yet creative security strategies to be integrated into a hotel’s overall business strategy. As hotels don’t report incidents, there is limited public data regarding the safety and security of these properties. However, it’s still clear that threats exist in hotels and resorts. A 2009 study that examined crimes reported by 64 Miami Beach hotels to the Miami Beach Police Department showed that theft is a chief problem, with nearly half of the 756 reported crimes being thefts. Growth ahead Threats like those mentioned above continue to be a significant driver in the deployment of video surveillance, video intelligence technologies and other security systems. The demonstrated value of video drives further interest in surveillance platforms, and this along with other factors propels the use of video surveillance as it continues to advance globally. According to a 2017 report from Research and Markets, the video surveillance market is projected to grow at a CAGR of 9.6 percent from 2017 to 2023, with hospitality, healthcare and education verticals forecasted to grow at an even higher rate. Technology plays a critical role in the effectiveness of a security function in all organizations, and the hospitality industry is no exception. In research conducted by Professor Alexandros Paraskevas, Chair in Hospitality Management at the University of West London, with assistance from the International Centre for Hotel and Resort Management, a large majority of hotels reported that video surveillance is by far the ‘core’ solution in use today. According to one participant, “95 percent of the discussion on security technology investment is about video surveillance.” Most executives consider video to be the leading investment, used as a deterrent or as an investigative tool. It is predominantly used in a reactive, not proactive manner. Even though technology is considered a force multiplier, many hotels struggle with allocating sufficient budget for security measures. Security investment within the hospitality sector is typically a ‘reluctant spend’ since it is not considered a revenue generator. That does not mean that the hospitality industry doesn’t prioritize security, it’s just a matter of setting the right mindset. Owners and managers who realize the importance of employee and guest safety, and the overall benefit of security are keener to discuss investment. This is why security leaders must be willing and able to educate senior leaders on the technology being proposed. As video surveillance becomes more prominent as a business operations tool in addition to a critical piece of a comprehensive security plan, valuable innovations such as panoramic and 360-degree cameras and video analytics, are important tools to reduce cost and increase coverage of large areas such as hotel lobbies and parking lots. But these products are only one piece of the puzzle – a comprehensive security solution can not only prevent and provide investigative/ forensic support, but also reduce insurance premiums and increase business. It is critical that video cameras and other security solutions are integrated to form a more comprehensive view of a hotel’s overall security posture. Simple, intelligent systems that bring information to the operator are optimal because they help hotels gain new levels of intelligence to help mitigate risks more effectively and proactively. The future is now Advancements in technologies propel new ways for security technology – most predominantly video – to be leveraged throughout an organization. Video data can be leveraged for additional uses that span several departments including business operations and marketing. The capital investment in video capture technology then becomes more widely distributed as more departments utilize the information, going from a required ‘grudge purchase’ to a ‘Swiss Army Knife’ of operational benefits. For example, the future of analytics provides heat-mapping functionality that hotels can use to identify busy areas for target marketing. Users can analyze traffic and people flow, and use that information to determine how to best use specific areas. With facial recognition software, hotels can better address the needs of VIPs by allowing hotel staff to be alert when a frequent guest arrives. How’s that for customer service? Hotels and resorts can use advanced technologies to better serve guests in an effort to deliver the kind of personalized service that customers will come to expect from their visit in the future. This will allow brands to build long-term relationships and ensure return visits, leading to increased revenue streams and a successful sustained business model. At the same time, hotels will be able to realize new levels of safety and security to keep their most important assets protected.                                    Author:-       Abhishek Kumar ( Regional Director, Southeast Asia, Oncam)

Data found on a suspect’s computer, cell phone or tablet can prove to be crucial evidence in a legal case. A new set of software tools developed at the National Institute of Standards and Technology (NIST) aims to make sure this digital evidence will hold up in the court. The software suite, referred to collectively as federated testing tools, is designed to help law enforcement and forensic practitioners with a critical early step in evidence collection – making a copy of the data from a seized electronic device. Because a suspect’s guilt or innocence can hang in the balance, both the prosecution and the defense must agree that the digital forensic process did not introduce any unseen errors into the data, and that the methods they are using work as expected. Extracting and copying data is a risky process because of the rapidly shifting digital landscape that the devices inhabit. Confronting the practitioners are all the differences in data and format that can exist between one device and the next – because of the sheer number of different manufacturers, and because of the frequent software updates pushed to various makes and models. “It’s hard to keep up,” said Barbara Guttman, one of the suite’s developers at NIST’s Computer Forensics Tool Testing project, “You don’t want to risk your copying software failing when you try to get data from some new computer that is critical to your case. So, we created these tools to help ensure that the copying software works effectively and transparently.” The federated testing tools allow authorities to run tests in advance on their digital forensic software to make sure ahead of time that it will not fail them when a suspect’s personal computer, media or device arrives in the forensic science lab. Guttman describes the suite as the three most critical tools for evidence acquisition and preservation, each addressing one aspect of the copying process. “One tool tests software for copying computer disks, while another tests mobile device data extraction software. These two test protocols were available previously, but the suite is now completed with a new third test for ‘write blockers,’ which are a sort of one-way valve for data-copying software. An effective write blocker allows data to flow only from the seized device to the copying computer, not the other way around. Later updates to the suite will address additional forensic functions,” said Guttman. The full suite is a freely available Linux file that anyone can download and burn to a blank CD. They can use the disk to boot their workstation and test their copying tools via a user-friendly interface. The NIST software also allows different forensics labs to exchange the results of their tests with each other, so that they can share the burden of exploring how well a copying method works on a specific platform and operating system. Running copying software through its paces generates a report that disparate organizations can share among themselves or with the world, allowing them to indicate whether they found anomalies during the testing or not. “Pooling these traceable results will mean less work for any given lab or organization,” Guttman said, “We don’t require they share the tests, but a rising tide should raise all boats.” Guttman cautioned that the tools will not ensure that a copying or digital forensic process is flawless, only that the results of the job are clearly visible to anyone. “Evidence doesn’t have to be complete to be admissible,” she said, “The key here is that copying does not introduce errors into the data that no one can see.” “Interest in federated testing will go beyond law enforcement agencies,” Guttman added, “Any organization that performs forensics such as civil law firms and corporate enforcement offices, will find a use for the test suite.”