Sony Network Video Recorders (NVR) / Network DVRs

In 2017, IoT-based cyberattacks increased by 600%. As the industry moves towards the mass adoption of interconnected physical security devices, end users have found a plethora of advantages, broadening the scope of traditional video surveillance solutions beyond simple safety measures. Thanks in part to these recent advancements, our physical solutions are at a higher risk than ever before. With today’s ever evolving digital landscape and the increasing complexity of physical and cyber-attacks, it’s imperative to take specific precautions to combat these threats. Video surveillance systems Cybersecurity is not usually the first concern to come to mind When you think of a video surveillance system, cybersecurity is not usually the first concern to come to mind, since digital threats are usually thought of as separate from physical security. Unfortunately, these two are becoming increasingly intertwined as intruders continue to use inventive methods in order to access an organization's assets. Hacks and data breaches are among the top cyber concerns, but many overlook the fact that weak cybersecurity practices can lead to physical danger as well. Organizations that deploy video surveillance devices paired with advanced analytics programs often leave themselves vulnerable to a breach without even realizing it. While they may be intelligent, IoT devices are soft targets that cybercriminals and hackers can easily exploit, crippling a physical security system from the inside out. Physical security manufacturers Whether looking to simply gain access to internal data, or paralyze a system prior to a physical attack, allowing hackers easy access to surveillance systems can only end poorly. In order to stay competitive, manufacturers within the security industry are trading in their traditional analog technology and moving towards interconnected devices. Due to this, security can no longer be solely focused on the physical elements and end users have taken note. The first step towards more secured solutions starts with physical security manufacturers choosing to make cybersecurity a priority for all products, from endpoint to edge and beyond. Gone are the days of end users underestimating the importance of reliability within their solutions. Manufacturers that choose to invest time and research into the development of cyber-hardening will be ahead of the curve and an asset to all. Wireless communication systems Integrators also become complicit in any issues that may arise in the future Aside from simply making the commitment to improve cyber hygiene, there are solid steps that manufacturers can take. One simple action is incorporating tools and features into devices that allow end users to more easily configure their cyber protection settings. Similarly, working with a third party to perform penetration testing on products can help to ensure the backend security of IoT devices. This gives customers peace of mind and manufacturers a competitive edge. While deficient cybersecurity standards can reflect poorly on manufacturers by installing vulnerable devices on a network, integrators also become complicit in any issues that may arise in the future. Just last year, ADT was forced to settle a $16 million class action lawsuit when the company installed an unencrypted wireless communication system that rendered an organization open to hacks. Cybersecurity services In addition, we’ve all heard of the bans, taxes and tariffs the U.S. government has recently put on certain manufacturers, depending on their country of origin and cybersecurity practices. Lawsuits aside, employing proper cybersecurity standards can give integrators a competitive advantage. With the proliferation of hacks, malware, and ransomware, integrators that can ease their client's cyber-woes are already a step ahead. By choosing to work with cybersecurity-focused manufacturers who provide clients with vulnerability testing and educate end users on best practices, integrators can not only thrive but find new sources of RMR. Education, collaboration and participation are three pillars when tackling cybersecurity from all angles. For dealers and integrators who have yet to add cybersecurity services to their business portfolios, scouting out a strategic IT partner could be the answer. Unlocking countless opportunities Becoming educated on the topic of cybersecurity and its importance for an organization is the first step Physical security integrators who feel uncomfortable diving headfirst into the digital realm may find that strategically aligning themselves with an IT or cyber firm will unlock countless opportunities. By opening the door to a partnership with an IT-focused firm, integrators receive the benefit of cybersecurity insight on future projects and a new source of RMR through continued consulting with current customers. In exchange, the IT firm gains a new source of clients in an industry otherwise untapped. This is a win for all those involved. While manufacturers, dealers and integrators play a large part in the cybersecurity of physical systems, end users also play a crucial role. Becoming educated on the topic of cybersecurity and its importance for an organization is the first step. Commonplace cybersecurity standards Below is a list of commonplace cybersecurity standards that all organizations should work to implement for the protection of their own video surveillance solutions: Always keep camera firmware up to date for the latest cyber protections. Change default passwords, especially those of admins, to keep the system locked to outside users. Create different user groups with separate rights to ensure all users have only the permissions they need. Set an encryption key for surveillance recordings to safeguard footage against intruders and prevent hackers from accessing a system through a backdoor. Enable notifications, whether for error codes or storage failures, to keep up to date with all systems happenings. Create/configure an OpenVPN connection for secured remote access. Check the web server log on a regular basis to see who is accessing the system. Ensure that web crawling is forbidden to prevent images or data found on your device from being made searchable. Avoid exposing devices to the internet unless strictly necessary to reduce the risk of attacks.

When a child goes missing in a large, crowded mall, we have a panicking mom asking for help from the staff, at least a dozen cameras in the area, and assuming the child has gone missing for only 15 minutes, about 3 hours’ worth of video to look through to find the child. Typical security staff response would be to monitor the video wall while reviewing the footage and making a verbal announcement throughout the mall so the staff can keep an eye out for her. There is no telling how long it will take, while every second feels like hours under pressure. As more time passes, the possible areas where the child can be will widen, it becomes more time-consuming to search manually, and the likelihood of finding the child decreases. What if we can avoid all of that and directly search for that particular girl in less than 1 second? Artificial neural networks are improving every day and now enable us to search for a person across all selected camera streamsWith Artificial intelligence, we can. Artificial neural networks are improving every day and now enable us to search for a person across all selected camera streams in a fraction of a second, using only one photo of that person. The photo does not even have to be a full frontal, passport-type mugshot; it can be a selfie image of the person at a party, as long as the face is there, the AI can find her and match her face with the hundreds or thousands of faces in the locations of interest. The search result is obtained in nearly real time as she passes by a certain camera. Distinguishing Humans From Animals And Statues The AI system continuously analyzes video streams from the surveillance cameras in its network, distinguishes human faces from non-human objects such as statues and animals, and much like a human brain, stores information about those faces in its memory, a mental image of the facial features so to speak. When we, the system user, upload an image of the person of interest to the AI system, the AI detects the face(s) in that image along with their particular features, search its memory for similar faces, and shows us where and when the person has appeared. We are in control of selecting the time period (up to days) and place (cameras) to search, and we can adjust the similarity level, i.e., how much a face matches the uploaded photo, to expand or fine-tune the search result according to our need. Furthermore, because the camera names and time stamps are available, the system can be linked with maps to track and predict the path of the person of interest. AI Face Search is not Face Recognition for two reasons: it protects people’s privacy, and it is lightweight Protecting People’s Privacy With AI Face Search  All features of face recognition can be enabled by the system user, such as to notify staff members when a person of interest is approaching the store AI Face Search is not Face Recognition for two reasons: it protects people’s privacy, and it is lightweight. First, with AI Face Search, no names, ID, personal information, or lists of any type are required to be saved in the system. The uploaded image can be erased from the system after use, there is no face database, and all faces in the camera live view can be blurred out post-processing to guarantee GDPR compliance. Second, the lack of a required face database, a live view with frames drawn around the detected faces and constant face matching in the background also significantly reduces the amount of computing resource to process the video stream, hence the lightweight. Face Search Versus Face Recognition AI Face Search Face Recognition Quick search for a particular person in video footage Identify everyone in video footage Match detected face(s) in video stream to target face(s) in an uploaded image Match detected face(s) in video stream to a database Do not store faces and names in a database Must have a database with ID info Automatically protect privacy for GDPR compliance in public places May require additional paperwork to comply with privacy regulations Lightweight solution Complex solution for large-scale deployment Main use: locate persons of interest in a large area Main use: identify a person who passes through a checkpoint Of course, all features of face recognition can be enabled by the system user if necessary, such as to notify staff members when a person of interest is approaching the store, but the flexibility to not have such features and to use the search tool as a simple Google-like device particularly for people and images is the advantage of AI Face Search.Because Face Search is not based on face recognition, no faces and name identifications are stored Advantages Of AI Face Search Artificial Intelligence has advanced so far in the past few years that its facial understanding capability is equivalent to that of a human. The AI will recognise the person of interest whether he has glasses, wears a hat, is drinking water, or is at an angle away from the camera. In summary, the advantages of Face Search: High efficiency: a target person can be located within a few seconds, which enables fast response time. High performance: high accuracy in a large database and stable performance, much like Google search for text-based queries. Easy setup and usage: AI appliance with the built-in face search engine can be customised to integrate to any existing NVR/VMS/camera system or as a standalone unit depending on the customer’s needs. The simple-to-use interface requires minimal training and no special programming skills. High-cost saving: the time saving and ease of use translate to orders of magnitude less manual effort than traditionally required, which means money saving. Scalability: AI can scale much faster and at a wider scope than human effort. AI performance simply relies on computing resource, and each Face Search appliance typically comes with the optimal hardware for any system size depending on the customer need, which can go up to thousands of cameras. Privacy: AI Face Search is not face recognition. For face recognition, there are privacy laws that limits the usage. Because Face Search is not based on face recognition, no faces and name identifications are stored, so Face Search can be used in many public environments to identify faces against past and real-time video recordings. AI Face Search match detected face(s) in video stream to target face(s) in an uploaded image Common Use Cases Of AI Face Search In addition to the scenario of missing child in a shopping mall, other common use cases for the AI Face Search technology include: Retail management: Search, detect and locate VIP guests in hotels, shopping centres, resorts, etc. to promptly attend to their needs, track their behaviour pattern, and predict locations that they tend to visit. Crime suspect: Quickly search for and prove/disprove the presence of suspects (thief, robber, terrorist, etc.) in an incident at certain locations and time. School campus protection: With the recent increase in number of mass shootings in school campuses, there is a need to identify, locate and stop a weapon carrier on campus as soon as possible before he can start shooting. Face Search will enable the authorities to locate the suspect and trace his movements within seconds using multiple camera feeds from different areas on campus. Only one clear image of the suspect’s face is sufficient. In the race of technology development in response to business needs and security concerns, AI Face Search is a simple, lightweight solution for airports, shopping centres, schools, resorts, etc. to increase our efficiency, minimise manual effort in searching for people when incidents occur on site, and actively prevent potential incidents from occurring. By Paul Sun, CEO of IronYun, and Mai Truong, Marketing Manager of IronYun

With increased demands being placed on safety and security globally, and supported by advancements in IP cameras and 360-degree camera technology, the video surveillance industry is growing steadily. Market research indicates that this worldwide industry is expected to reach an estimated $39.3 billion in revenue by 2023, driven by a CAGR of 9.3 percent from 2018 to 2023. Video surveillance is not just about capturing footage (to review an event or incident when it occurs), but also about data analysis delivering actionable insights that can improve operational efficiencies, better understand customer buying behaviors, or simply just provide added value and intelligence. Growth of Ultra-HD Surveillance To ensure that the quality of the data is good enough to extract the details required to drive these insights, surveillance cameras are technologically evolving as well, not only with expanded capabilities surrounding optical zoom and motion range,4K Ultra HD-compliant networked cameras are expected to grow from 0.4 percent shipped in 2017, to 28 percent in 2021 but also relating to improvements in signal-to-noise (S2N) ratios, light sensitivities (and the minimum illumination needed to produce usable images), wide dynamic ranges (WDR) for varying foreground and background illumination requirements, and of course, higher quality resolutions. As such, 4K Ultra HD-compliant networked cameras are expected to grow from 0.4 percent shipped in 2017, to 28 percent in 2021, representing an astonishing 170 percent growth per year, and will require three to six times the storage space of 1080p video dependent on the compression technology used. Surveillance cameras are typically connected to a networked video recorder (NVR) that acts as a gateway or local server, collecting data from the cameras and running video management software (VMS), as well as analytics. Capturing this data is dependent on the communications path between individual cameras and the NVR. If this connection is lost, whether intentional, unintentional, or a simple malfunction, surveillance video will no longer be captured and the system will cease operations. Therefore, it has become common to use microSD cards in surveillance cameras as a failsafe mechanism. Despite lost connectivity to the NVR, the camera can still record and capture raw footage locally until the network is restored, which in itself, could take a long time depending on maintenance staff or equipment availability, weather conditions, or other unplanned issues. Since microSD cards play a critical role as a failsafe mechanism to ensure service availability, it is important to choose the right card for capturing video footage.  It has become common to use microSD cards in surveillance cameras as a failsafe mechanism if an NVR breaks Key Characteristics Of microSDs There are many different microSD cards to choose from for video capture at the network’s edge, and they range from industrial grade capabilities to commercial or retail grade, and everything in-between. To help make some of these uncertainties a little more certain, here are the key microSD card characteristics for video camera capture. Designed For Surveillance As the market enjoys steady growth, storage vendors want to participate and have done so with a number of repurposed, repackaged, remarketed microSD cards targeted for video surveillance but with not much robustness, performance or capabilities specific to the application. Adding the absence of mean-time between failure (MTBF) specifications to the equation, microSD card reliability is typically a perceived measurement -- measured in hours of operation and relatively vague and hidden under metrics associated with the camera’s resolution and compression ratio. Therefore, when selecting a microSD card for surveillance cams at the edge, the choice should include a vendor that is trusted, has experience and a proven storage portfolio in video surveillance, and in microSD card technologies. Endurance, as it relates to microSD cards, represents the number of rewrites possible before the card can no longer store data correctly  High Endurance Endurance, as it relates to microSD cards, represents the number of rewrites (program/erase cycles) that are possible before the card can no longer store data correctly. The rewrite operation is cyclical whereby a new stream of footage replaces older content by writing over it until the card is full, and the cycle repeats. The higher the endurance, the longer the card will perform before it needs to be replaced. Endurance is also referred to in terabytes written (TBW) or by the number of hours that the card can record continuously (while overwriting data) before a failure will occur. Health Monitoring Health monitoring is a desired capability that not many microSD cards currently support and enables the host system to check when the endurance levels of a card are low and needs to be replaced. Having a card that supports this capability enables system integrators and operators with the ability to perform preemptive maintenance that will help to reduce system failures, as well as associated maintenance costs. Performance To capture continuous streams of raw footage, microSD cards within surveillance cams perform write operations about seventy to ninety percent of the time, whereas reading captured footage is performed about ten to thirty percent. The difference in read/write performance is dependent on whether the card is used in an artificial intelligent (AI) capable camera, or a standard one.   microSD cards deployed within surveillance cameras should support temperature ranges from -25 degrees Celsius to 85 degrees Celsius Finding a card that is write-friendly, and can provide enough bandwidth to properly capture streamed data, and is cost-effective, requires one that falls between fast industrial card capabilities and slower commercial ones. Bandwidth in the range of 50 MB/sec for writes and 80 MB/sec for reads are typical and sufficient for microSD cards deployed within surveillance cameras. Temperature Ranges Lower capacity support of 32GB can provide room to attract the smaller or entry-level video surveillance deployments As microSD cards must be designed for continuous operation in extreme weather conditions and a variety of climates, whether located indoors or out, support for various temperature ranges are another consideration. Given the wide spectrum of temperatures required by the camera makers, microSD cards deployed within surveillance cameras should support temperature ranges from -25 degrees Celsius to 85 degrees Celsius, or in extreme cases, as low as -40 degrees Celsius. Capacity Selecting the right-sized capacity is also very important as there needs to be a minimum level to ensure that there is enough room to hold footage for a number of days or weeks before it is overwritten or the connectivity to the NVR is restored. Though 64GB is considered the capacity sweet spot for microSD cards deployed within surveillance cameras today, lower capacity support of 32GB can provide room to attract the smaller or entry-level video surveillance deployments. In the future, even higher capacities will be important for specific use cases and will potentially become standard capacities as the market evolves. When choosing the right storage microSD card to implement into your video surveillance system, make sure the card is designed specifically for the application – does it include the right levels of endurance and performance to capture continuous streams – can it withstand environmental challenges and wide temperature extremes – will it enable preventative and preemptive maintenance to provide years of service? It is critical for the surveillance system to be able to collect video footage whether the camera is connected to an NVR or is a standalone camera as collecting footage at the base of the surveillance system is the most crucial point of failure. As such, failsafe mechanisms are required to keep the camera recording until the network is restored.

Matrix has announced its presence in the prestigious trade fair for Security, Safety & Fire Protection - Secura 2020. Organized in North Africa, SECURA is the first international fire, safety & security expo organized in Algeria. With an ambitious regional visibility plan, the expo will be held in Safex - Foire d'Alger, Mohammadia from 11th to 13th February 2020. Matrix aims at exhibiting their indigenous and innovative range of solutions for IP Video Surveillance, Access Control, Time-Attendance and Unified Communications. IP Video Surveillance The solutions are specifically designed for large, multi-located enterprises, SME and SMB organizations. Matrix Comsec continuously works towards keeping abreast with the constantly upgrading technology by designing and manufacturing solutions that are equipped with the latest technology. Matrix will be presenting some of its comprehensive range of Telecom and Security solutions at Secura 2020. Matrix 5 MP IP Cameras - Higher Resolution for Better Surveillance Available in Dome and Bullet variants, Matrix 5MP IP Cameras are best suited for Enterprises With the continued demand for IP Video Surveillance in Small and Medium-scale Enterprises, new solutions that produce better image quality in the most challenging conditions are needed. To meet the growing needs of SMBs, Matrix offers 5MP IP Cameras along with the range of 2MP and 3MP IP Cameras. Owing to the high 5MP resolution, these cameras provide sharper and brighter images with even more details. Exceptional low light performance Equipped with Sony STARVIS series sensors, our 5 MP IP Camera delivers a true, 104-degree Horizontal field-of-view (FOV) and exceptional low light performance in light as low as 0.01 lux. Available in Dome and Bullet variants, Matrix 5MP IP Cameras are best suited for Enterprises and are ideal for both indoor and outdoor applications. Key Features: Better Quality Images - with 5 MP Resolution Larger Field-of-View (FOV) – 104 degrees HFOV Exceptional low light performance in light as low as 0.01 lux IP67 and IK10 Protection Latest H.265 Compression technology True WDR – to deliver consistent images in varying light conditions Next-gen door controller Matrix will do a live demonstration of two of its unique and innovative solutions: COSEC ARGO – Solution experts will discuss at length its differentiating features and how they make the device the next-gen door controller when it comes to Access Control. Products and Solutions: Matrix NETRA series of 5MP, 3MP, and 2MP IP Cameras – Offer superior image quality along with True WDR, Intelligent Video Analytics and Edge Recording. Matrix PARAM series of NVR – Network Video Recorders offer High-Resolution Recording, Live View of Multiple Streams, Centralized Monitoring without a server, Powerful Investigator and Instant Notifications. Deep learning technology Weighbridge Integration - Collects pictorial evidence of inward or outward vehicles by mapping unique numbers such as License Plates, Challan Numbers or Token Numbers for further verification and auditing. Parking Management - Addresses the need for automated functioning of small, medium or large parking areas. Matrix Face Recognition – It is based on innovative and deep learning technology with a powerful user identification algorithm that identifies users accurately within no time. Visitor Management Solution Matrix Visitor Management Solution - It is designed to assist organizations in streamlining the day-to-day guest visits without compromising the security, hospitality or productivity of the organization. Matrix PRASAR UCS - It proves to be a complete solution for inter-branch office collaboration and communications. Dispersed branches can be tied together over the IP network, with PRASAR UCS located at the Head Office. Matrix ANANT UCS – This is a powerful Unified Communication solution that provides enterprises with integrated mobility and unified messaging. It helps to improve collaboration (video calling, chat, presence sharing, voicemail to email, conference, etc.) among all their employees, irrespective of its size and geographic location.

Videotec announces that the new ULISSE EVO PTZ range will integrate the high-sensitivity SONY FCB-EV7520 camera. This camera will provide a new level of high performance and exceptional image quality for the external surveillance of airports, critical infrastructures, and traffic. The new ULISSE EVO with the SONY FCB-EV7520 camera has a 30x optical zoom and a 1/2.8” Exmor RTM CMOS sensor with Full HD 1080/60p resolution that produces the highest image quality, even when surveilling moving objects or in poor lighting conditions. Powerful image stabilization algorithm With ULISSE EVO and the SONY camera, you can set up to 24 dynamic privacy zone masks The powerful image stabilization algorithm means even the smallest camera vibrations are detected and any blur in the footage is dynamically corrected. This results in a sharp image of the scene being surveilled. This is useful for traffic monitoring applications where the camera could be buffeted by wind or shaken by mechanical vibrations, especially if it installed on an unstable structure such as a bridge or pole. With ULISSE EVO and the SONY camera, you can set up to 24 dynamic privacy zone masks. These masks change size and shape based on the pan/tilt/zoom position so objects that shouldn’t be seen remain hidden. The advanced SONY technology brings the functions of Wide Dynamic Range and High Light Compensation that allow optimal management of contrasting light and dark conditions. Ensuring continuous monitoring The camera’s high sensitivity means you get color video with a minimum illumination of just 0.0013lx (0.0008lx in black and white). This guarantees surveillance coverage even when lighting at the scene is very poor. The LED illuminator integrated into the PTZ, which is available as an accessory, ensures continuous monitoring 24 hours a day. This PTZ camera provides 3 Full HD streams with H.264/Avc digital compression The de-fog function provides a clear view even with fog or haze. When this function is activated, the camera will detect how hazy it is and compensates accordingly in the image. This PTZ camera provides 3 Full HD streams with H.264/Avc digital compression. It can be connected to an Ethernet network easily and can send video streams to digital monitors and storage systems. It complies with ONVIF, Profile S and Profile Q protocols. Quick-Fit connectors for Ethernet/PoE The ULISSE EVO with SONY camera can be 24Vac/24Vdc or 90W PoE powered, depending on installation requirements. It can even be mounted upside down, in the typical speed domes position. The supports can be supplied with quick-fit connectors for Ethernet/PoE, power supply and I/O. This means the unit can be replaced quickly and easily in case of on-site intervention. The wiper is supplied as standard, for optimum cleaning of the front glass. ULISSE EVO operates at maximum efficiency between -40°C and +65°C. It is IK10, IP66/IP67/IP68, NEMA Type 4X and Type 6P protected and is wind-resistant up to 230 km/h. This ensures maximum protection against dust and bad weather, strong impacts or gusts of wind, and acts of vandalism.

Qumulex is a new startup with a mission to provide physical security integrators a transition path to embrace the technology of the cloud and a subscription-based business model. Qumulex’s products seek to provide capabilities to embrace the cloud without an integrator having to turn their back completely on the ‘transactional revenue’ of installing new systems. As the transition happens, Qumulex offers a product line that supports any mix of systems from on-premises to the cloud. The flexible deployment model – enabling a cloud installation, an on-premise installation or any combination – is one of the ways Qumulex seeks to differentiate itself in the market. Installing fully on-Premise system The Qumulex cloud-based platform uses a gateway device located on-premises to which local cameras are connected The system is designed so that an integrator can install a fully on-premise system and then later ‘flip a switch’ and transition to a cloud model, says Tom Buckley, VP Sales and Marketing. The Qumulex initial 1.0 system launch is currently entering its final beta test. Full commercial availability is expected in the first quarter of 2020, which the company will highlight in a bigger 20x20 booth at ISC West next year. The Qumulex cloud-based platform uses a gateway device located on-premises to which local cameras are connected. Ensuring cybersecurity, the gateway provides a ‘firewall’ of sorts to avoid any cybersecurity threat from entering an enterprise through a vulnerable IP camera. The system is designed to be ‘cloud-agnostic’ and to work with any public or private cloud, using Docker software and ‘containers,’ a standard unit of software that packages code and all its dependencies so an application runs quickly and reliably from one computing environment to another. At launch, the Qumulex system will use the Google cloud. Greater situational awareness The open platform approach will enable users to assemble best-of-breed solutions Another point of differentiation for the new platform is a unified access control and video surveillance environment – both are part of the same program. Access control can drive video events and vice versa for greater situational awareness. A unified system avoids having to integrate separate systems. A big emphasis for Qumulex is ease of use. They have designed the user interface to be as simple and intuitive as possible, using consumer-oriented systems such as Nest and the Ring Doorbell as a model of simplicity. Finally, the open platform approach will enable users to assemble best-of-breed solutions. Keeping it simple, the system offers native integration with only the major camera manufacturers that represent most of the market: Axis, Hanwha, Arecont, Panasonic, Vivotek and Sony. Longer-Term storage Other cameras can be included using the ONVIF interface. On the access control side, the system will initially be compatible with Axis door controllers, Allegion wireless door locks and ASSA ABLOY Aperio wireless door locks. Future versions of the software will seek to integrate HID Edge and Vertx and eventually Mercury panels. The gateway device may incorporate only a solid-state drive (SSD) for buffering Qumulex is taking a ‘mobile-first’ approach. The software is designed as a ‘progressive web app,’ which means is it is adaptable to – and fully functioning in – any smart phone, mobile device, laptop, or on a desktop computer with multiple monitors. The gateway device may incorporate only a solid-state drive (SSD) for buffering, or as many hard drives as the customer wants for storage. Short-term storage is available in the cloud, but local hard drives may be used for longer-term storage which can get expensive given the monthly fees of cloud storage. Using third-Party server To manage the variety of scenarios, Qumulex will offer a line of gateways and recorders, or a customer can use a third-party server along with Qumulex, which is an open system. Qumulex will use a manufacturer’s representative sales model and has already signed up 11 rep firms covering the United States (the initial target of the launch). The company has been spreading the word among integrators, too, first at the ISC West show last spring, when 98 integrators saw demonstrations of the system at a suite in the Palazzo. Another 48 integrators saw the system at ESX in Indianapolis in June. At the recent GSX show in Chicago, Qumulex had a booth on the show floor, where they scanned 450 badges that yielded 176 unique integrators. Entering the physical security market Qumulex just closed a second round of funding, which does not include any ‘institutional’ money Buckley estimates there are around 10,000 total security integrators in the United States that sell products similar to theirs at their price point. They are working to build their database to reach out to those integrators. (Exacq had more than 4,500 dealer/integrators before it was sold to Tyco/Johnson Controls.) Qumulex is the third company to enter the physical security market by the same team that launched two other successful startups in the last 20 years: Exacq Technologies (sold to Tyco in 2013) and Integral Technologies (sold to Andover Controls in 2000). Both previous companies were built around a need to help the integrator community transition to newer technologies. Qumulex just closed a second round of funding, which does not include any ‘institutional’ money. The first round of investment involved only the founders, and the second round added some ‘angel’ investors to the mix. The funding allows more flexibility and control over the company’s timeline and the evolution of the product’s feature set, free of outside mandates, says Buckley.