WD CCTV Storage System / HDD (3)
WD Purple is a 4TB 3.5-inch HDD which is suitable for use in surveillance and security systems up to 8 bays and optimised for 32 HD cameras. It is designed for high-temperature, always-on surveillance security systems to ensure reliability and quality video playback.Add to Compare
WD Re is a 4TB 3.5-inch HDD with NoTouch ramp load technology, which ensures the recording head never touches the disk media resulting in less wear to the recording head and media as well as better drive protection in transit.Add to Compare
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Video surveillance systems are producing more unstructured data than ever before. A dramatic decrease in camera costs in recent years has led many businesses to invest in comprehensive surveillance coverage, with more cameras generating more data. Plus, advances in technology mean that the newest (8K) cameras are generating approximately 800% more data than their predecessors (standard definition). Traditional entry-level solutions like network video recorders (NVRs) simply aren’t built to handle massive amounts of data in an efficient, resilient and cost-effective manner. This has left many security pioneers grappling with a data storage conundrum. Should they continue adding more NVR boxes? Or is there another, better, route? Retaining video data In short, yes. To future proof their video surveillance infrastructure, an increasing number of businesses are adopting an end-to-end surveillance architecture with well-integrated, purpose-built platforms for handling video data through its lifecycle. This presents significant advantages in terms of security, compliance and scalability, as well as unlocking new possibilities for data enrichment. All of this with a lower total cost of ownership than traditional solutions. Security teams would typically delete recorded surveillance footage after a few days or weeks Previously, security teams would typically delete recorded surveillance footage after a few days or weeks. However, thanks to increasingly stringent legal and compliance demands, many are now required to retain video data for months or even years. There’s no doubt that this can potentially benefit investigations and increase prosecutions, but it also puts significant pressure on businesses’ storage infrastructure. Data lifecycle management This necessitates a more intelligent approach to data lifecycle management. Rather than simply storing video data in a single location until it’s wiped, an end-to-end video surveillance solution can intelligently migrate data to different storage platforms and media as it ages. So, how does this work? Video is recorded and analysed on a combination of NVR, hyperconverged infrastructure (HCI) and application servers. Then, it’s moved to resilient file storage for a pre-determined period, where it can be immediately retrieved and accessed for review. Finally, based on policies set by heads of security, data is moved from file storage to highly secure, low-cost archive storage such as an object, tape or cloud. Data is moved from file storage to highly secure, low-cost archive storage Long-term storage This process is known as tiering. It allows businesses to use reliable, inexpensive long-term storage for most of their data, whilst still enabling security pioneers to retrieve video data when the need arises, such as during a compliance audit, or to review footage following a security breach. In a nutshell, it offers them the best of both worlds. Scaling your video surveillance infrastructure can be a headache. Businesses that rely on NVRs – even high-end units with 64 or even 96 hard drives – are finding themselves running out of capacity increasingly quickly. In order to scale, security pioneers then have to procure new boxes. With NVRs, this inevitably involves a degree of guesswork. Should they go for the largest possible option, and risk over provisioning? Or perhaps a smaller option, and risk running out of capacity again? Common management console Security pioneers can easily add or remove storage capacity or compute resources – separately or together As businesses add new cameras or replace existing ones, many end up with inadequate surveillance infrastructure made up of multiple NVR boxes along with several application servers for running other surveillance functions such as access control, security photo databases, analytics, etc. This patchwork approach leaves security pioneers scrambling for capacity, maintaining various hardware footprints, repeating updates and checks across multiple systems, and taking up valuable time that could be better spent elsewhere. By contrast, flexible HCI surveillance platforms aggregate the storage and ecosystem applications to run on the same infrastructure and combine viewing under a common management console, avoiding ‘swivel chair’ management workflows. Plus, they offer seamless scalability. Security pioneers can easily add or remove storage capacity or compute resources – separately or together. Data storage solutions Over time, this ensures a lower total cost of ownership. First and foremost, it removes the risk of over provisioning and helps to control hardware sprawl. This in turn leads to hardware maintenance savings and lower power use. Many security pioneers are now looking beyond simple data storage solutions for their video surveillance footage. Meta tags can provide context around data, making it easier to find and access when needed Instead, they’re asking themselves how analysing this data can enable their teams to work faster, more efficiently and productively. Implementing an end-to-end video surveillance architecture enables users to take advantage of AI and machine learning applications which can tag and enrich video surveillance data. These have several key benefits. Firstly, meta tags can provide context around data, making it easier to find and access when needed. Object storage platform For instance, if security teams are notified of a suspicious red truck, they can quickly find data with this tag, rather than manually searching through hours of data, which can feel like looking for a needle in a haystack. Plus, meta tags can be used to mark data for future analysis. This means that as algorithms are run over time, policies can be set to automatically store data in the right location. For example, if a video is determined to contain cars driving in and out of your premises, it would be moved to long-term archiving such as an object storage platform for compliance purposes. If, on the other hand, it contained 24 hours of an empty parking lot, it could be wiped. These same meta tags may be used to eventually expire the compliance data in the archive after it is no longer needed based on policy. Video surveillance architecture Continuing to rely on traditional systems like NVRs will fast become unsustainable for businesses Even if your organisation isn’t using machine learning or artificial intelligence-powered applications to enhance your data today, it probably will be one, three, or even five years down the line. Implementing a flexible end-to-end video surveillance solution prepares you for this possibility. With new advances in technology, the quantity of data captured by video surveillance systems will continue rising throughout the coming decade. As such, continuing to rely on traditional systems like NVRs will fast become unsustainable for businesses. Looking forward, when moving to an end-to-end video surveillance architecture, security pioneers should make sure to evaluate options from different vendors. For true futureproofing, it’s a good idea to opt for a flexible, modular solution, which allow different elements to be upgraded to more advanced technologies when they become available.
The transition to remote working has been a revelation for many traditional office staff, yet concerns over data security risks are rising. Mark Harper of HSM explains why businesses and their remote workers must remain vigilant when it comes to physical document security in homes. Pre-pandemic, home offices were often that neglected room in people’s homes. But now things are different. After the initial lockdown in 2020, 46.6% of UK workers did some work at home with 86% of those doing so because of the pandemic. Semi-permanent workspaces Since then, many have found that over time, those semi-permanent workspaces have become slightly more permanent – with official hybrid working coming into effect for an assortment of businesses and their teams. The adoption of hybrid working can in fact be seen as one of the few positives to come from the pandemic, with less travel, more freedom and higher productivity top of the benefits list for businesses and their employees. The handling of sensitive documents, is a growing concern for office managers But those welcomed benefits don’t tell the whole story. The transition to remote working has undoubtedly impacted workplace security, with various touch points at risk. The handling of sensitive documents for example, is a growing concern for office managers. In simpler times, sensitive data was more or less contained in an office space, but with millions of home setups to now think about, how can businesses and their office managers control the issue of desk data? Physical document security As of January 2021, it’s said that one in three UK workers are based exclusively at home. That’s millions of individuals from a variety of sectors, all of which must continue in their efforts to remain data secure. With that, reports of cyber security fears are consistently making the news but that shouldn’t be the sole focus. There is also the underlying, but growing, issue of physical document security. The move to remote working hasn’t removed these physical forms of data – think hard drives, USBs and paper based documentation. A recent surge in demand for home printers for example, only exemplifies the use of physical documents and the potential security issues home offices are facing. Adding to that, research conducted in 2020 found that two out of three employees who printed documents at home admitted to binning those documents both in and outside of their house without shredding them. Data security concern Without the right equipment, policies and guidance, businesses are sure to be at risk Those findings present a huge data security concern, one that must be fixed immediately. The Information Commissioner’s Office (ICO) has since released guidance for those working from their bedrooms and dining tables. Designed to help overcome these challenges, the ‘security checklists’ and ‘top tips’ should be the first port of call for many. Yet throughout, the ICO make reference to ‘following your organisation’s policies and guidance’ – highlighting that the onus isn’t solely on the individuals working from their makeshift offices. Office managers have a monumental task on their hands to ensure teams are well equipped within their home setups. Without the right equipment, policies and guidance, businesses are sure to be at risk. But it would be wrong to insinuate that unsecure desk data has only now become an issue for organisations. Modern office spaces Keeping clear desks has long been a battle for many office managers. In fact, clear desk policies are practised in most modern office spaces, with it recognised as a key preventative to personal information being wrongly accessed and so falling foul of GDPR legislation. Throwing sensitive documents in the bin was never an option pre-pandemic However, the unsupervised aspect of home working has led to a potentially more lax approach to these policies, or in some cases, they can’t be followed at all. For those taking a more laid back approach, organisation leaders must remind staff of their data security responsibilities and why clear desk policies have previously proven effective. Ultimately, throwing sensitive documents in the bin was never an option pre-pandemic and this must be carried through to home workspaces now. Securely destroy documents There are also concerns over the equipment people have access to at home. For example, without a reliable home shredding solution, data security suddenly becomes a tougher task. To add to that, several recommendations state that employees working from home should avoid throwing documents away by instead transporting them to the office for shredding once lockdown rules ease. While this is an option, it does pose further issues, with document security at risk of accidental loss or even theft throughout the transportation period, not to mention the time spent in storage. The best and most effective way to securely destroy documents is at the source, especially in environments where higher levels of personal data is regularly handled. Correct shredding equipment The recent findings on home office behaviour represent a true security risk Only when home workers implement their own clear desk policies alongside the correct shredding equipment (at the correct security level), can both home office spaces and regular offices become data secure. Realistically, these solutions should, like the common home printer, become a staple in home office spaces moving forward. The likelihood is that many UK workers will remain in their home offices for the foreseeable future, only to emerge as hybrid workers post-pandemic. And while the current working environment is more ideal for some than others, the recent findings on home office behaviour represent a true security risk to organisations. With this in mind, it’s now more key than ever for business leaders, their office managers and homeworkers to all step up and get a handle on home data security policies (as well as maintaining their standards back at the office) – starting with the implementation of clear desk policies. After all, a clear desk equals a clear mind.
The past decade has seen unprecedented growth in data creation and management. The products and services that consumers use every day – and the systems businesses, large and small, rely on – all revolve around data. The increasing frequency of high-profile data breaches and hacks should be alarming to anyone, and there’s a danger data security could worsen in the coming years. According to DataAge 2025, a report by IDC and Seagate, by 2025, almost 90% of all data created in the global datasphere will require some level of security, but less than half of it will actually be secured. Nuanced approach to data security Security is a circle, not a line. Every actor involved in the handling and processing of data has responsibility for ensuring its securityThe rapid proliferation of embedded systems, IoT, real-time data and AI-powered cognitive systems – as well as new legislation like the European Union’s GDPR – means that data security has to be a priority for businesses like never before. With data used, stored and analysed at both the hardware and software level, we need a new and more nuanced approach to data security. Security is a circle, not a line. Every actor involved in the handling and processing of data has responsibility for ensuring its security. What this means in practice is renewed focus on areas of hardware and software protection that have previously not been top of mind or received large amounts of investment from businesses, with security at the drive level being a prime example. The importance of data-at-rest encryption In a world where data is everywhere, businesses need always-on protection. Data-at-rest encryption helps to ensure that data is secure right down to the storage medium in which it is held in a number of ways. Hardware-level encryption, firmware protection for the hard drive, and instant, secure erasing technology allow devices to be retired with minimal risk of data misuse. Data-at-rest encryption helps to ensure that data is secure right down to the storage medium in which it is held in a number of ways A recent report from Thales Data Threat found that data-at-rest security tools can be a great way to help protect your data. However, it’s important to note that this must be used in conjunction with other security measures to ensure that those that fraudulently gain access to your key management system can’t access your data. Ensuring drives to be Common Criteria compliant One straightforward test any business can do to ensure its storage is as secure as possible is to check whether the drives are Common Criteria compliantDespite the clear benefits, this kind of encryption lags behind other areas, such as network and endpoint security, in terms of the investment it currently receives. The same Thales Data Threat report found that data-at-rest security was receiving some of the lowest levels of spending increases in 2016 (44%), versus a 62% increase for network and a 56% increase for endpoint security. One straightforward test any business can do to ensure its storage is as secure as possible is to check whether the drives are Common Criteria compliant. Common Criteria is an international standard for computer security certification, and drives that meet this standard have a foundational level of protection which users can build on. Providing an additional layer of security The retail industry has seen a spate of security breaches recently, with several major US brands suffering attacks over the busy Easter weekend this year. As frequent handlers of consumer card information, retailers are particularly vulnerable to attack. Data-at-rest encryption could enhance security in these instances, providing an additional layer of security between customer records and the attacker The advanced threats retailers face can often evade security defences without detection. Such a breach could grant attackers unrestricted access to sensitive information for possibly months – some breaches are known to have been detected only after consumer payment details appeared on the dark web. These types of undetected attacks are highly dangerous for retailers, which are relatively helpless to protect consumer information once their defences have been compromised. Data-at-rest encryption could significantly enhance security in these instances, providing an additional layer of security between customer records and the attacker which has the potential to make the stolen data valueless to cyber criminals. Industries in need of data-at-rest encryption Healthcare organisations, which hold highly sensitive customer and patient information, have a strong use case for data-at-rest encryption. With the widespread adoption of electronic patient health records, that data is increasingly more vulnerable to attack. Recent research from the American Medical Association and Accenture revealed that 74% of physicians are concerned over future attacks that may compromise patient records. With the widespread adoption of electronic patient health records, that data is increasingly more vulnerable to attack The financial sector would also benefit from further investment in data-at-rest encryption, given 78% of financial services firms globally are planning on increasing their spending on critical data, according to Thales’ Data Threat Report. It’s helpful to view security as a circle in which every piece of hardware and software handling the data plays its part SMEs and enterprises are not immune to security threats either – with growing numbers of people traveling for work or working remotely, the risk of sensitive business data becoming exposed via device theft is heightened. Usernames and passwords have little use if thieves can simply remove unencrypted hard drives and copy data across. Securing every hardware and software Technology vendors often focus on aspects of hardware and application security that are within their control. This is understandable, but it risks proliferating a siloed approach to data security. There is no single line for data security -- rather, it’s helpful to view it as a circle in which every piece of hardware and software handling the data plays its part. There’s a clear need for more industry dialogue and collaboration to ensure data security is effectively deployed and connected throughout the security circle and across the value chain.
The evolution of smart video technology continues at pace. As in many other industries, the onset of the COVID-19 pandemic expedited timelines and the artificial intelligence (AI) video world is continuing its rapid evolution in 2021. As video demand and the use of AI to make sense of the visual data increase, the number of cameras and subsequent data produced are growing rapidly, and these are forcing the creation of new edge architectures. Cameras and AI in traffic management ‘Smart factories’ can leverage AI to detect flaws or deviations in the production line in real time In addition, a new generation of ‘smart’ use cases has developed. For example, in ‘smart cities’, cameras and AI analyse traffic patterns and adjust traffic lights, in order to improve vehicle flow, reduce congestion and pollution, and increase pedestrian safety. ‘Smart factories’ can leverage AI to detect flaws or deviations in the production line in real time, adjusting to reduce errors and implement effective quality assurance measures. As a result, costs can be greatly reduced through automation and earlier fault detection. Evolution of smart video The evolution of smart video is also happening alongside other technological and data infrastructure advancements, such as 5G. As these technologies come together, they’re impacting how we architect the edge. And, they’re driving a demand for specialised storage. Listed below are some of the biggest trends that we’re seeing: Greater volume means greater quality The volume and variety of cameras continue to increase with each new advancement, bringing new capabilities. Having more cameras allow more to be seen and captured. This could mean having more coverage or more angles. It also means more real-time video can be captured and used to train AI. Quality also continues to improve with higher resolutions (4K video and above) Quality also continues to improve with higher resolutions (4K video and above). The more detailed the video, the more insights can be extracted from it. And, the more effective the AI algorithms can become. In addition, new cameras transmit not just one video stream, but also additional low-bitrate streams used for low-bandwidth monitoring and AI pattern matching. Smart cameras operate 24/7 Whether used for traffic management, security or manufacturing, many of these smart cameras operate 24/7, 365 days a year, which poses a unique challenge. Storage technology must be able to keep up. For one thing, storage has evolved to deliver high-performance data transfer speeds and data writing speeds, to ensure high quality video capture. And, actual on-camera storage technology must deliver longevity and reliability, critical to any workflow. Real world context is vital to understanding endpoints Whether used for business, in scientific research or in our personal lives, we’re seeing new types of cameras that can capture new types of data. With the potential benefits of utilising and analysing this data, the importance of reliable data storage has never been more apparent. Considering context when designing storage technology As we design storage technology, we must take the context into consideration, such as location and form factor. We need to think of the accessibility of cameras (or lack thereof), are they atop a tall building or maybe amid a remote jungle? Such locations might also need to withstand extreme temperature variations. All of these possibilities need to be taken into account, so as to ensure long-lasting, reliable continuous recording of critical video data. Chipsets are improving artificial intelligence (AI) capability Improved compute capabilities in cameras means processing happens at the device level, enabling real-time decisions at the edge. New camera chipsets deliver enhanced AI capability We’re seeing new chipsets arrive for cameras that deliver improved AI capability, and more advanced chipsets add deep neural network processing for on-camera deep learning analytics. AI keeps getting smarter and more capable. Cloud must support deep learning technology Just as camera and recorder chipsets are coming with more compute power, in today’s smart video solutions most of the video analytics and deep learning is still done with discrete video analytics appliances or in the Cloud. To support these new AI workloads, the Cloud has gone through some transformation. Neural network processors within the Cloud have adopted the use of massive GPU clusters or custom FPGAs. They’re being fed thousands of hours of training video, and petabytes of data. These workloads depend on the high-capacity capabilities of enterprise-class hard drives (HDDs), which can already support 20TB per drive and high-performance enterprise SSD flash devices, platforms or arrays. Reliance on the network Wired and wireless internet have enabled the scalability and ease of installation that has fuelled the explosive adoption of security cameras, but it could only do so where LAN and WAN infrastructures already exist. 5G technology aids camera installations Emerging cameras that are 5G-ready are being designed to load and run 3rd party applications 5G removes many barriers to deployment, allowing expansive options for placement and ease of installation of cameras at a metropolitan level. With this ease of deployment comes new greater scalability, which drives use cases and further advancements in both camera and cloud design. For example, cameras can now be standalone, with direct connectivity to a centralised cloud, as they’re no longer dependent on a local network. Emerging cameras that are 5G-ready are being designed to load and run 3rd party applications, which can bring broader capabilities. Yet with greater autonomy, these cameras will need even more dynamic storage. They will require new combinations of endurance, capacity, performance, and power efficiency, to be able to optimally handle the variability of new app-driven functions. Paving the way for the edge storage revolution It’s a brave new world for smart video, and it is as complex as it is exciting. Architectural changes are being made to handle new workloads and prepare for even more dynamic capabilities at the edge and at end points. At the same time, deep learning analytics continue to evolve at the back end and the Cloud. Understanding workload changes, whether at the camera, recorder, or the Cloud level, is critical to ensuring that new architectural changes are augmented by continuous innovation in storage technology.
Consolidation continued in the physical security marketplace in the turbulent year 2020. There were several mega-deals in addition to shuffling among small and medium-sized companies. Here is a sampling of M&A from this year, compiled from our archive of company news. With the changing economic climate, how much more is ahead in 2021? Stay tuned. Wesco merges with Anixter WESCO International, Inc., a provider of business-to-business (B2B) distribution, logistics services and supply chain solutions, announced it completed its merger with Anixter International Inc., creating a premier, global B2B distribution and supply chain solutions company. Anixter becomes a wholly owned subsidiary of WESCO International. ACRE acquires Razberi ACRE acquired Razberi Technologies, Farmers Branch, Texas, and the product line of intelligent video appliances, automated security software and health monitoring software will be added to and sold under the ComNet brand and portfolio of products. ComNet will now be selling Razberi products through its established channels. Motorola acquires IndigoVision Among the benefits is enhanced geographical reach across a wider customer base Motorola Solutions says the IndigoVision range of products, global presence and customer base are ‘highly complementary’ to Motorola Solutions' existing presence in video security. Among the benefits is enhanced geographical reach across a wider customer base. Motorola acquires Pelco “Pelco’s track record of innovation, internationally recognised brand, global channel and customer installed base enable us to further expand our global footprint with enterprise and public safety customers,” said Greg Brown, Motorola Solutions’ Chairman and CEO, about the iconic brand. Johnson Controls swallows Qolsys Qolsys Inc., residential and commercial security and smart-home manufacturer, enhances Johnson Controls global innovation platform, delivering next generation security and smart building solutions. JCI had already owned a majority stake in the company since 2014. ADT and Google Home partnership The partnership will combine Nest’s award-winning hardware and services, powered by Google’s machine learning technology, with ADT’s installation, service and professional monitoring network to create a more helpful smart home and integrated experience for customers across the United States. Upon the closing of Google’s equity investment in ADT, Google will own 6.6% of ADT’s outstanding aggregate common equity. Securitas acquires STANLEY in Five Countries The acquisition is aligned with Securitas’ ambition to double the size of its security solutions Securitas acquired STANLEY Security’s electronic security businesses in Germany, Portugal, Switzerland, Singapore and India. The acquisition is aligned with Securitas’ ambition to double the size of its security solutions and electronic security business and expands Securitas’ electronic security footprint and capabilities. Allied Universal to Buy G4S Ending the year on a high note, the boards of directors managing Allied Universal and G4S reached an agreement on the terms of a recommended cash offer. The deal brings to a close a six-month bidding war for G4S. The combined business is expected to generate approximately $18 billion in annual revenues with a global workforce of more than 750,000 people in 85 countries. Quantum acquires Western Digital business line Quantum Corporation entered into an agreement with Western Digital Technologies, Inc., a subsidiary of Western Digital Corp., to acquire its ActiveScale object storage business. The acquisition demonstrates Quantum’s commitment to innovation and growth, extending the company’s leadership role in storing and managing video and unstructured data using a software-defined approach. AVA/Vaion/Jazz Networks Ava, a unified security company, announced the completion of the merger between Jazz Networks, renowned cyber security insider threat detection and response firm; and Vaion, an end-to-end video security solutions provider. Ava is now positioned to deliver unified cyber and physical security solutions to organisations worldwide.
Smart security is advancing rapidly. As AI and 4K rise in adoption on smart video cameras, these higher video resolutions are driving the demand for more data to be stored on-camera. AI and smart video promise to extract greater insights from security video. Complex, extensive camera networks will already require a large amount of data storage, particularly if this is 24/7 monitoring from smart video-enabled devices. With 4K-compliant cameras projected to make up over 24% of all network cameras shipped by 2023 – there is a fast-growing desire for reliable storage on-board security cameras. The question for businesses is: do they look to break up their existing smart video network, by separating and compartmentalising cameras to handle data requirements, or do they increase its storage capabilities? As some people begin to venture out and return to work following initial COVID-19 measures, we are also seeing demand for thermal imaging technology increase. New technology like this combined with more of these always-on systems being rolled out, means organisations will need to carefully consider their smart video strategy. Newer edge computing will play an important role in capturing, collecting, and analysing data and there are some key trends you can expect to see as a result of this evolution. There are many more types of cameras being used today, such as body cameras, dashboard cameras, and new Internet of Things (IoT) devices and sensors. Video data is so rich nowadays, you can analyse it and deduce a lot of valuable information in real-time, instead of post-event. Edge computing and smart security As public cloud adoption grew, companies and organisations saw the platform as a centralised location for big data. However, recently there’s been opposition to that trend. Instead we are now seeing data processed at the edge, rather than in the cloud. There is one main reason for this change in preference: latency. Newer edge computing will play an important role in capturing, collecting, and analysing data Latency is an important consideration when trying to carry out real-time pattern recognition. It’s very difficult for cameras to process data – 4K surveillance video recorded 24/7 – if it has to go back to a centralised data centre hundreds of miles away. This data analysis needs to happen quickly in order to be timely and applicable to dynamic situations, such as public safety. By storing relevant data at the edge, AI inferencing can happen much faster. Doing so can lead to safer communities, more effective operations, and smarter infrastructure. UHD and storage AI-enabled applications and capabilities, such as pattern recognition, depend on high-definition resolutions such as 4K – also known as Ultra High Definition (UHD). This detailed data has a major impact on storage – both the capacity and speeds at which it needs to be written, and the network. Compared to HD, 4K video has much higher storage requirements and we even have 8K on the horizon. As we know, 4K video has four times the number of pixels as HD video. In addition, 4K compliant video supports 8, 10, and 12 bits per channel that translate to 24-, 30- or 36-bit colour depth per pixel. A similar pattern holds for HD — more colour using 24 bits or less colour using 10 or 12 bits in colour depth per pixel. Altogether, there is up to a 5.7x increase in bits generated by 4K vs. 1080 pixel video. Larger video files place new demands on data infrastructure for both video production and surveillance. Which means investing in data infrastructure becomes a key consideration when looking into smart security. Always-on connectivity Whether designing solutions that have limited connectivity or ultra-fast 5G capabilities, most smart security solutions need to operate 24/7, regardless of their environment. Yet, on occasion, the underlying hardware and software systems fail. In the event of this, it is important to establish a failover process to ensure continued operation or restore data after a failure, including everything from traffic control to sensors to camera feeds and more. Consider the example of a hospital with dozens or even over a hundred cameras connected to a centralised recorder via IP. If the Ethernet goes down, no video can be captured. Such an event could pose a serious threat to the safety and security of hospital patients and staff. For this reason, microSD cards are used in cameras to enable continuous recording. Software tools – powered by AI – can then “patch” missing data streams with the content captured on the card to ensure the video stream can be viewed chronologically with no content gaps. Thermal imaging Health and safety is the number one priority for all organisations as people return to work and public spaces. Some organisations are deploying thermal imaging to help screen individuals for symptoms as they return. Organisations that operate with warehouses, depots and assembly lines will traditionally have large amounts of cameras located outside of the entrance. With thermal imaging smart video in place, these cameras can now serve a dual purpose as a screening device. The thermal imaging technology is capable of detecting elevated body temperatures, with 10-25 workers being scanned in one shot, from one camera – making it an efficient and accurate process. This way, staff can use the information to help identify people who may need further screening, testing, and/or isolation before returning to work. There are many more types of cameras being used today, such as body cameras, dashboard cameras, and new Internet of Things (IoT) devices While this may not increase data storage requirements, it can change your retention policies and practices. Smart security today is about utilising AI and edge computing, to deliver an always-on, high-resolution video provision that can help keep people safe 24/7. These trends increase the demands and importance of monitoring, which means requirements of the supporting data infrastructure improve to match that, including the ability to proactively manage the infrastructure to help ensure reliable operation. Companies need to make sure they have considered all the storage and policy challenges as part of their smart security strategy for the future.
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