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How can security system integrators not just survive but thrive in today’s IT-led market? The key seems to be in training. As increasingly more clients look to integrate access control with IT environments, they want integrators with the specialist skills to achieve this. For integrators that don’t invest in training, the risk is being left behind. Because many security system integrators aren’t providing specialist IT support, manufacturers are now offering services to make implementations and integrations easier. This isn’t a scalable or desirable option for many manufacturers though, they don’t want to become integrators. The result? Manufacturers will be pushed into developing products that can be integrated with IT networks off the shelf. And this isn’t necessarily the best option for end user, manufacturer or integrator. With a growing number of cloud-based security solutions, integrators also face the threat of clients opting for installation-only services. How security system integrators can survive and thrive today It’s not all doom and gloom for security system integrators though. To avoid becoming redundant, or being downgraded to simple access control installers, there’s lots you can do to strengthen your position. Listen carefully Many integrators are reluctant to do this, but it’s a great way to demonstrate the depth of your experience One of the first ways you can distinguish yourself from your competitors is by really listening to what your clients want and need. You can then translate this into a security or access control application tailored carefully to them. Many integrators are reluctant to do this, but it’s a great way to demonstrate the depth of your experience and product knowledge. It’s far superior to carrying out a standard implementation, which can leave clients feeling they’ve not been listened to or given good value. Up your IT knowledge TCP/IP has become the standard for communication between devices and central server applications in access control and security in general. So every technician now needs to know how to connect IP devices to networks and configure them in the central application. This is only the tip of the iceberg though, there’s so much more that integrators now need to be proficient in when it comes to IT. From understanding a client’s WAN, LAN and VPN networks to back-up systems, encryption technologies, key management and transparent communication. It’s also important to know how to integrate applications at server level, whether you’re integrating two or more security systems or a HR database. Most integrators have begun to invest in one or two IT experts, but this usually isn’t enough to meet clients’ needs. To really stay ahead, it’s crucial to invest more heavily in IT training and expertise. Choose your portfolio carefully When considering your portfolio, ensure you check the background of each product’s manufacturer Ideally, your portfolio should be small but rich, which is more difficult than it sounds. Choosing products that will scale easily is complex, and you need to consider the potential for increased functionality or connectivity as well as scalability. When considering your portfolio, make sure you check the background and outlook of each product’s manufacturer. You don’t want to select items that are likely to be discontinued in the near future, which can often happen after a manufacturer is acquired, for example. Get in the cloud In the security market, the mid and low segments are already shifting to cloud-based solutions that need neither integration nor IT skills. This leaves you with opportunities for just installation and maintenance services, where profit opportunities are reduced. An alternative is to begin selling cloud-based security services yourself to help you attract and retain clients for the long-term. Give clients added commercial value As competition increases and budgets shrink, offering added value, to new and existing clients, is a vital way to differentiate your business. This will help you to not just defend against competitors but to grow your business and increase your profitability. Configuring access control reports for clients is just one example. It’s relatively straightforward to do but provides really valuable insight into visitor flow. This can then enable them to, for example, staff reception adequately and provide sufficient catering, which all improves the experience for visitors and employees. Providing this kind of consultative service, instantly pushes you up the value chain. Stay agile and well informed To survive and grow as a security system integrator today, the upshot is that it’s crucial to keep pace with the market’s ever-changing trends, technology and client needs. And, to make sure you’re ready to adapt and give clients the services they want, it’s vital to give your people the in-depth training they need.
Back in the 1960s a lead engineer working in conjunction with the United States Navy for Lockheed’s Skunk Works team coined the acronym KISS, which translated to the design principle ‘keep it simple stupid’. The KISS principle embraces the concept of simplicity, stating that most systems work best if they are kept simple rather than geared up to be more complicated. When it comes to physical security systems, this concept can also play a key element in its overall success. Secure work environments For years the tug of war in the security industry has pitted the need for a secure environment against the desire for technology that is convenient for users. However, finding a happy medium between the two has often seemed elusive. I believe you can design and have operational convenience at the same time as achieving high security" Jeff Spivey, a security consultant and the CEO of Security Risk Management, has this to say about it, “If there is an understanding of the security-related risks and their separate and/or collective impact on the organization’s bottom line business goals, a resolution can be reached.” Jeff also does not think that convenience and high security have to be opposing each other. He says, “I believe you can design and have operational convenience at the same time as achieving high security.” Importance of secure access control The premise is that for organizations and spaces to be truly secure, they must be difficult to access. So, by its very nature, access control is designed to be restrictive, allowing only authorized staff and visitors to access a facility or other secured areas inside. This immediately puts convenience at odds with security. Most people will tolerate the restrictive nature of a controlled entrance using badge, card or biometric because they understand the need for security. When that technology gets in the way of staff traversing freely throughout the facility during the course of a business day, or hindering potential visitors or vendors from a positive experience entering the building, they become less tolerant, which often leads to negative feedback to the security staff. Enhancing corporate security Security consultants like Spivey and security directors all stress that understanding the threats and risk levels of an organization will most likely dictate its physical security infrastructure and approach. All the technology in the world is useless if it is not embraced by those who are expected to use it and it doesn’t fit the culture of the organization. Once employees and customers are educated about what security really is, they understand that they're not losing convenience, they're gaining freedom to move safely from point A to point B. Converged data and information shape new access options Migration of physical access control systems to a more network-centric platform is a game-changer for security technologies The migration of physical access control systems to a more network-centric platform has been a game-changer for emerging security technology options. The expansion of the Internet of Things (IoT), Near-Field Communication devices powered by Bluetooth technology, and the explosion of converged information systems and identity management tools that are now driving access control are making it easier than ever before for employees and visitors to apply for clearance, permissions and credentials. Wireless and proximity readers Advancements in high-performance wireless and proximity readers have enhanced the user’s access experience when presenting credentials at an entry and expediting movement throughout a facility. A user is now able to access a secured office from street-level without ever touching a key or card. Using a Bluetooth-enabled smartphone or triggering a facial recognition technology, they enter the building through a security revolving door or turnstile. A total building automation approach adds extra convenience, as well as seamless security, when access technology is integrated into other systems like elevator controls. A total building automation approach adds extra convenience and seamless security How to Meet Security Concerns at the Entry While security managers are charged with providing their facilities the maximum level of security possible, there is always the human element to consider. But does the effort to make people comfortable with their security system ecosystem come at a cost? Does all this convenience and the drive to deliver a positive security experience reduce an organization’s overall levels of security? And if so, how can we continue to deliver the same positive experience including speed of entry – while improving risk mitigation and threat prevention? Door entrances, barriers Users can slip through the door or turnstile barriers while they are still open after a credentialed individual has gone through Let’s examine some of the various types of entrances being used at most facilities and the security properties of each. With some entrance types, there is the possibility for security to fall short of its intended goals in a way that can’t be addressed by access control technology alone. In particular, with many types of doors and barriers, tailgating is possible: users can slip through the door or turnstile barriers while they are still open after a credentialed individual has gone through. To address this, many organizations hire security officers to supervise the entry. While this can help to reduce tailgating, it has been demonstrated that officers are not immune to social engineering and can often be “talked into” letting an unauthorized person into a facility. Deploying video cameras, sensors Some organizations have deployed video surveillance cameras or sensors to help identify tailgaters after the fact or a door left open for longer than rules allow. This approach is not uncommon where facilities have attempted to optimize throughput and maintain a positive experience for staff and visitors. Security staff monitoring the video feeds can alert management so that action can be taken – but this is at best a reactive solution. It does not keep the unauthorized persons from entering, and so is not a totally secure solution. Optical turnstiles, speedgates Security staff should carefully evaluate its facility’s needs and consider the technology that is built into the door itself Security staff should carefully evaluate its facility’s needs and consider the technology that is built into the door itself. Not all security entrances work the same way. And, there will always be a balance between security and convenience – the more secure the entry, the less convenient it is for your personnel and visitors to enter your facility. For example, it takes more time to provide 2-factor authentication and enter through a mantrap portal than to provide only one credential and enter through an optical turnstile or speedgate. Perimeter protection So, it is an important first step to determine what is right at every entrance point within and around the perimeter. Remember that convenience does not equate to throughput. Convenience is the ease and speed of entry experienced by each individual crossing that threshold, while throughput relates to the speed at which many individuals can gain access to the facility. A more convenient entry makes a better first impression on visitors and is good for overall employee morale. Throughput is more functional; employees need to get logged in to begin their workday (and often to clock in to get paid), and they quickly become frustrated and dissatisfied when waiting in a long line to enter or exit the premises. Considering form and function when designing a security entrance can ensure that those requiring both high-security and convenience are appeased.
Imagine a home surveillance camera monitoring an elderly parent and anticipating potential concerns while respecting their privacy. Imagine another camera predicting a home burglary based on suspicious behaviors, allowing time to notify the homeowner who can in turn notify the police before the event occurs—or an entire network of cameras working together to keep an eye on neighborhood safety. Artificial Intelligence vision chips A new gen of AI vision chips are pushing advanced capabilities such as behavior analysis and higher-level security There's a new generation of artificial intelligence (AI) vision chips that are pushing advanced capabilities such as behavior analysis and higher-level security to the edge (directly on devices) for a customizable user experience—one that rivals the abilities of the consumer electronics devices we use every day. Once considered nothing more than “the eyes” of a security system, home monitoring cameras of 2020 will leverage AI-vision processors for high-performance computer vision at low power consumption and affordable cost—at the edge—for greater privacy and ease of use as well as to enable behavior analysis for predictive and preemptive monitoring. Advanced home monitoring cameras With this shift, camera makers and home monitoring service providers alike will be able to develop new edge-based use cases for home monitoring and enable consumers to customize devices to meet their individual needs. The result will be increased user engagement with home monitoring devices—mirroring that of cellphones and smart watches and creating an overlap between the home monitoring and consumer electronics markets. A quick step back reminds us that accomplishing these goals would have been cost prohibitive just a couple of years ago. Face recognition, behavior analysis, intelligent analytics, and decision-making at this level were extremely expensive to perform in the cloud. Additionally, the lag time associated with sending data to faraway servers for decoding and then processing made it impossible to achieve real-time results. Cloud-based home security devices The constraints of cloud processing certainly have not held the industry back, however. Home monitoring, a market just seven years young, has become a ubiquitous category of home security and home monitoring devices. Consumers can choose to install a single camera or doorbell that sends alerts to their phone, a family of devices and a monthly manufacturer’s plan, or a high-end professional monitoring solution. While the majority of these devices do indeed rely on the cloud for processing, camera makers have been pushing for edge-based processing since around 2016. For them, the benefit has always been clear: the opportunity to perform intelligent analytics processing in real-time on the device. But until now, the balance between computer vision performance and power consumption was lacking and camera companies weren’t able to make the leap. So instead, they have focused on improving designs and the cloud-centric model has prevailed. Hybrid security systems Even with improvements, false alerts result in unnecessary notifications and video recording Even with improvements, false alerts (like tree branches swaying in the wind or cats walking past a front door) result in unnecessary notifications and video recording— cameras remain active which, in the case of battery powered cameras, means using up valuable battery life. Hybrid models do exist. Typically, they provide rudimentary motion detection on the camera itself and then send video to the cloud for decoding and analysis to suppress false alerts. Hybrids provide higher-level results for things like people and cars, but their approach comes at a cost for both the consumer and the manufacturer. Advanced cloud analytics Advanced cloud analytics are more expensive than newly possible edge-based alternatives, and consumers have to pay for subscriptions. In addition, because of processing delays and other issues, things like rain or lighting changes (or even bugs on the camera) can still trigger unnecessary alerts. And the more alerts a user receives, the more they tend to ignore them—there are simply too many. In fact, it is estimated that users only pay attention to 5% of their notifications. This means that when a package is stolen or a car is burglarized, users often miss the real-time notification—only to find out about the incident after the fact. All of this will soon change with AI-based behavior analysis, predictive security, and real-time meaningful alerts. Predictive monitoring while safeguarding user privacy These days, consumers are putting more emphasis on privacy and have legitimate concerns about being recorded while in their homes. Soon, with AI advancements at the chip level, families will be able to select user apps that provide monitoring without the need to stream video to a company server, or they’ll have access to apps that record activity but obscure faces. Devices will have the ability to only send alerts according to specific criteria. If, for example, an elderly parent being monitored seems particularly unsteady one day or seems especially inactive, an application could alert the responsible family member and suggest that they check in. By analyzing the elderly parent’s behavior, the application could also predict a potential fall and trigger an audio alert for the person and also the family. AI-based behavior analysis Ability to analyze massive amounts of data locally and identify trends is a key advantage of AI at the edge The ability to analyze massive amounts of data locally and identify trends or perform searches is a key advantage of AI at the edge, for both individuals and neighborhoods. For example, an individual might be curious as to what animal is wreaking havoc in their backyard every night. In this case, they could download a “small animal detector” app to their camera which would trigger an alert when a critter enters their yard. The animal could be scared off via an alarm and—armed with video proof—animal control would have useful data for setting a trap. Edge cameras A newly emerging category of “neighborhood watch” applications is already connecting neighbors for significantly improved monitoring and safety. As edge cameras become more commonplace, this category will become increasingly effective. The idea is that if, for example, one neighbor captures a package thief, and then the entire network of neighbors will receive a notification and a synopsis video showing the theft. Or if, say, there is a rash of car break-ins and one neighbor captures video of a red sedan casing their home around the time of a recent incident, an AI vision-based camera could be queried for helpful information: Residential monitoring and security The camera could be asked for a summary of the dates and times that it has recorded that particular red car. A case could be made if incident times match those of the vehicle’s recent appearances in the neighborhood. Even better, if that particular red car was to reappear and seems (by AI behavior analysis) to be suspicious, alerts could be sent proactively to networked residents and police could be notified immediately. Home monitoring in 2020 will bring positive change for users when it comes to monitoring and security, but it will also bring some fun. Consumers will, for example, be able to download apps that do things like monitor pet activity. They might query their device for a summary of their pet’s “unusual activity” and then use those clips to create cute, shareable videos. Who doesn’t love a video of a dog dragging a toilet paper roll around the house? AI at the Edge for home access control Home access control via biometrics is one of many new edge-based use cases that will bring convenience to home monitoring Home access control via biometrics is one of many new edge-based use cases that will bring convenience to home monitoring, and it’s an application that is expected to take off soon. With smart biometrics, cameras will be able to recognize residents and then unlock their smart front door locks automatically if desired, eliminating the need for keys. And if, for example, an unauthorized person tries to trick the system by presenting a photograph of a registered family member’s face, the camera could use “3D liveness detection” to spot the fake and deny access. With these and other advances, professional monitoring service providers will have the opportunity to bring a new generation of access control panels to market. Leveraging computer vision and deep neural networks Ultimately, what camera makers strive for is customer engagement and customer loyalty. These new use cases—thanks to AI at the edge—will make home monitoring devices more useful and more engaging to consumers. Leveraging computer vision and deep neural networks, new cameras will be able to filter out and block false alerts, predict incidents, and send real-time notifications only when there is something that the consumer is truly interested in seeing. AI and computer vision at the edge will enable a new generation of cameras that provide not only a higher level of security but that will fundamentally change the way consumers rely on and interact with their home monitoring devices.
Video surveillance is commonly associated with security. But in most cases, it's used to record incidents and assist in investigations after the fact rather than prevent undesirable events. Artificial intelligence–powered video analytics is a highly promising trend that fundamentally changes the way things work. Extracting manageable data from a video stream can help recognize risky situations early on, minimizing damage and, ideally, completely avoid emergencies. At the same time, AI significantly expands the areas of application of video surveillance beyond security systems. AI significantly expands the areas of application of video surveillance beyond security systems However, the hype around this new, trendy technology prevents the potential user from choosing quality solutions in a wide variety of products. This often leads to over-expectation, followed by a complete let-down. Can AI-powered video analytics really be the key to a technological breakthrough in video surveillance? We'll take a look at what the technology can do, what it can't, and where it can go from here. Technological breakthrough or just another bubble? It's often said that the video management software (VMS) market is becoming increasingly commoditized and widely available. A lot of products with similar features (or, at least, similar promises from the manufacturer) make it hard to choose. As a result, vendor names and reputations are turning into one of their primary selling points. Manufacturers have two choices available: get wrapped up in a price war and rely on cutting expenses, or offer a product that's truly innovative and revolutionary. Manufacturers have two choices available: get wrapped up in a price war, or offer a product that's truly innovative and revolutionary VMS developers who choose the second route are gravitating towards creating products that use artificial intelligence based on neural networks and deep learning. Emerging two or three years ago, the AI video analytics market is experiencing a boom in growth. This new tech wave has stirred the still, stagnant backwaters of the VMS world and gave small, ambitious developers something to be optimistic about. It seems they now have a chance to emerge as market leaders in the next few years. However, the hype around this popular trend is raising reasonable concerns among experienced security industry professionals. These concerns come from clients looking for a solution to their problems, and from suppliers building a long-term development strategy. This largely resembles another tech bubble, like the one built up around pre-AI video analytics and burst when it became clear that the sensational promises around it were pure marketing hype (and rather unscrupulously so). However, there are a lot of factors that indicate that AI-powered video surveillance systems aren't another bubble. The three factors The first — and the main one — comes from systems already in place on customers' sites. They fulfill the same promises made during the previous bubble by hotheads in a rush to teach the computer to analyze events in real time using a classical algorithmic approach. The second is the fact that this new technology has seen investment from not only software and cloud startups, but also established VMS developers. Even giants like Intel, which has presented a full line of neural network accelerator hardware and a set of software tools that streamlines working with them, specifically in the field of computer vision. This new technology has seen investment from not only software and cloud startups, but also established VMS developers The third factor lies in artificial intelligence's abilities. AI plays chess, drives cars, and works wonders in many other fields. Why shouldn't it be applied to video monitoring and analysis? What AI can do Just what can artificial intelligence do in video surveillance systems at this stage of development? It can't quite analyze a sequence of events and understand the "logic" of what's happening in the cameras' field of view. At least not yet. But it's probable that AI will learn to do this in the next few years. But neural network analytics can already detect, classify, and track objects very well, providing high accuracy even in busy scenes. Artificial intelligence can be used in the real world to: detect smoke and flames for early fire warning at open areas (forest, open warehouse, parking lot, etc.); distinguish people/vehicles from animals and other moving objects, e.g. to protect the perimeter of a nature park from poachers; distinguish a person in a helmet and protective clothing from a person without them to prevent accidents at a dangerous production facility or construction site; count objects of a specific type, e.g. cars in a parking lot, people in the sales floor, wares moving on a conveyor belt, etc. in non-security-related solutions. Those are just a few examples. After training a neural network, it can tackle other, similar tasks, too. Generally, a neural network trained in specific conditions isn't replicable. In other words, it won't work as well under different conditions. On the other hand, developers have learned how to quickly train AI for the needs of a specific project. The most important requirement is having enough video footage. Somewhat apart from that is the use of neural networks in facial and automatic number-plate recognition. This is an example of reproducible neural networks (train once, deploy everywhere), which makes them more appealing commercially. If non-reproducible neural networks have only recently become economically feasible due to the rapid evolution of specialized hardware (aforementioned Intel's product, for example), then the use of AI in facial recognition and ANPR has been well established for a long time. The use of AI in facial recognition and ANPR has been well established for a long time Another kind of AI analytics that we'll explore is behavior analytics. This function, probably more than any other, is bringing video surveillance systems closer to understanding what's happening on camera. Its potential is vast. How Behavior Analytics Works From a technical point of view, behavior analytics combines artificial intelligence with a classic algorithmic approach. A neural network trained on a multitude of scenarios can determine the position of the bodies, heads, and limbs of humans in the camera's field of view. The algorithm outputs an array of data containing descriptions of their poses. Conditions can be set for data to detect a specific pose, such as raised hands, prostrated or crouching persons. Developers can use this to quickly create new detection tools to identify potentially dangerous behavior specified by a government or business client. There's no need for additional training of the neural network. How Behavior Analytics Can Be Deployed Someone crouched down next to an ATM could be a technician, CIT guard, or burglar. Bank security should be notified in any of the cases. A person in shooter position, together with a bank employee or cashier with their hands raised could indicate a robbery. The system can be configured to automatically send alerts with a surveillance snapshot to the police so they can assess the threat and take action if needed. It's vital that the police receive the alert, even if the employee is unable to activate the alarm. In many cases, attention should be directed to a prostrate individual. This could be somebody who needs immediate help, or it could be someone sleeping in an inappropriate public place, for example, a 24/7 ATM space. Behavioral analytics can also be used to ensure workplace safety. For example, tracking whether employees are holding the handrails when using the stairs at a manufacturing facility or a construction site. What Now? Behavior analytics can be deployed wherever your clients' imagination takes them. With this feature, practically any pose that indicates potentially dangerous behavior can be detected. Timely response to an alarm helps avoid material damages or, in other situations, casualties. Practically any pose that indicates potentially dangerous behavior can be detected An area of potential development for behavior analytics is the ability to analyze a sequence of poses by the same person or a combination of poses and relative positions of several individuals. That will be the next level of evolution in AI's use in video surveillance: moving from "detecting" to "understanding" behavior in real time. In its most basic form, this type of analytics can be deployed to detect deviations from the search procedure in correctional facilities when a person being inspected must assume a pre-defined sequence of poses. A more advanced form allows it to detect any kind of abnormal behavior, such as a brawl breaking out in a public space. Ideally, behavior analytics can predict dangerous situations based on nearly imperceptible cues gleaned from collected statistics and a Big Data analysis. At the moment, this sounds like pure fantasy, but what seemed like whimsy not too long ago is now a reality with AI. It's already beaten humans in chess and the game of Go (Weiqi). Will artificial intelligence be able to outplay humans at charades one day? It's entirely possible that we'll soon see for ourselves.
Dahua Technology, globally renowned video-centric smart IoT solutions and services provider, successfully held its Dahua Technology Partner Day at Estadio Wanda Metropolitano, Madrid. The event has brought together strategic technological partners of the company, who have been sharing their expertise and know-how in the development of smart end-to-end solutions. Dahua Technology Partner Day In this rapidly changing smart IoT era, challenges come with opportunities" In the afternoon, the event presented a comprehensive conference program, which highlighted the key roles of innovation and collaboration in the development of security solutions for different vertical markets. The conference kicked off with an opening speech by Mr. Jason Zhao, Dahua VP & General Manager of Overseas Business, who welcomed the presence of all the customers and partners at the event and extended his gratitude towards their long-term support. “Openness is a key strategy of Dahua Technology. In this rapidly changing smart IoT era, challenges come with opportunities. Let’s embrace the openness and partnership, and create smart solutions together,” he said. In addition, Dahua Technology’s distinguished partners Milestone, Axxonsoft, Qognify, Intel, Seagate, Advancis and Ivideon also shared their expertise during the event. Their speeches have highlighted their latest security solutions and the possibilities of integrated solutions. They were joined by the event’s keynote speaker, Mr. Xingming Zhang, Dahua VP and General Manager of R&D Center. AI-powered products Gathering around 500 people, the Dahua Technology Partner Day has served as an opened platformMr. Zhang presented the technical application change of the security industry in the AI era, and demonstrated Dahua Technology’s plan of developing AI powered products, establishing the ecosystem platform for cooperation, to create smart solutions together with partners to empower various vertical industries. Dahua Technology Partner Day also featured exhibition spaces with integrated solution demonstrations. The event concluded with a gala dinner where attendees enjoyed food and wine, and entertainment shows. Gathering around 500 people, the Dahua Technology Partner Day has served as an opened platform where global industry players, system integrators and end-users had the opportunity to interact with each other and get first-hand knowledge of the most innovative security solutions, new trends and current challenges of this growing sector.
Promise Technology Inc., developer of open storage platforms for video surveillance, will be at Intersec Dubai 2018 from January 21 - 23 to showcase its latest video surveillance server and storage technology innovations. Promise is enhancing its portfolio of solutions for the surveillance ecosystem with the introduction of a cloud-based solution optimized for video surveillance workloads, new series of network video recorder (NVR) storage appliances, and a personal cloud storage device that integrates an IP camera. Hyper-Converged Infrastructure Promise’s VSkyCube is the latest in Hyper-Converged infrastructure designed to provide easily-scalable and highly-available computing power and video recording storage to run your Surveillance platform. In addition to video recording, VSky’s resources can be used to run additional services such as facial recognition programs, keycard access, and building monitoring systems making it a unified platform for all your security needs. VSkyCube is a cost-effective solution designed to modernize your security infrastructure to meet current and future challenges of your organization. A7000 Series For Large-scale IP Surveillance Available in Febuary 2018, Promise’s new Vess A7000 Series is specifically engineered for IP video surveillance deployment on a medium-to-large scale (100+ full HD IP cameras). The Vess A7000 Series is ideally suited for surveillance systems in banks, malls, casinos, factories, and warehouses, as well as commercial, residential, government or private enterprises. The A7000’s subsystems are capable of continuous recording and playback operation without dropping frames. Promise’s personal cloud device, the simple-to-use Apollo Cloud 2 Duo, now supports IP cameras from multiple brands for non-stop video recording and live stream viewing. This new feature will enable users to control cameras remotely and watch live footage via the Apollo Cloud App from anywhere in the world via the internet, giving them the peace of mind that comes with the ability to monitor their home inside and out, while keeping the information off public cloud networks. Partner Pavilion Promise works very closely with partners from throughout the surveillance ecosystem to offer more integration possibilities – and enable users to design a solution that meets their specific needs. Partner showcases at Intersec Dubai include: Axis, Axxonsoft, Bosch, CNL, Digifort, Hanwha Techwin, Ipsotek, IronYun, ISS, Milestone, SeeTec, and Toshiba. A portion of Promise’s booth on the show floor will be dedicated to highlighting solutions running with Promise’s open storage platform for IP video surveillance. Additionally, surveillance industry leaders will give presentations covering the hottest trends and products shaping the industry.
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