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The safeguarding of premises through the monitoring of entrance and exit points has traditionally been a very manual aspect of security. Human operators have been relied on to make decisions about who to admit and deny based on levels of authorization and the appropriate credentials. The access control business, like many industries before it, is undergoing its own digital transformation But the access control business, like many industries before it, is undergoing its own digital transformation; one where the protection of premises, assets and people is increasingly delivered by interconnected systems utilising IoT devices and cloud infrastructure to offer greater levels of security and protection. Modern access control solutions range from simple card readers to two factor authentication systems using video surveillance as a secondary means of identification, right through to complex networks of thermal cameras, audio speakers and sensors. These systems, connected through the cloud, can be customized and scaled to meet the precise requirements of today’s customer. And it’s the ease of cloud integration, combined with open technologies and platforms that is encouraging increasing collaboration and exciting developments while rendering legacy systems largely unfit for purpose. Remote management and advanced diagnostics Cloud technology and IoT connectivity means remote management and advanced diagnostics form an integral part of every security solution.Cloud technology and IoT connectivity means remote management and advanced diagnostics form an integral part of every security solution. For example, as the world faces an unprecedented challenge and the COVID-19 pandemic continues to cause disruption, the ability to monitor and manage access to sites remotely is a welcome advantage for security teams who might otherwise have to check premises in person and risk breaking social distancing regulations. The benefits of not physically having to be on site extend to the locations within which these technologies can be utilised. As an example, within a critical infrastructure energy project, access can be granted remotely for maintenance on hard to reach locations. Advanced diagnostics can also play a part in such a scenario. When access control is integrated with video surveillance and IP audio, real-time monitoring of access points can identify possible trespassers with automated audio messages used to deter illegal access and making any dangers clear. And with video surveillance in the mix, high quality footage can be provided to authorities with real-time evidence of a crime in progress. Comprehensive protection in retail The use of connected technologies for advanced protection extends to many forward-looking applications. Within the retail industry, autonomous, cashier-less stores are already growing in popularity. Customers are able to use mobile technology to self-scan their chosen products and make payments, all from using a dedicated app. From an access control and security perspective, connected doors can be controlled to protect staff and monitor shopper movement. Remote management includes tasks such as rolling out firmware updates or restarting door controllers, with push notifications sent immediately to security personnel in the event of a breach or a door left open. Remote monitoring access control in storage In the storage facility space, this too can now be entirely run through the cloud with remote monitoring of access control and surveillance providing a secure and streamlined service. There is much to gain from automating the customer journey, where storage lockers are selected online and, following payment, customers are granted access. Through an app the customer can share their access with others, check event logs, and activate notifications. With traditional padlocks the sharing of access is not as practical, and it’s not easy for managers to keep a record of storage locker access. Online doors and locks enable monitoring capabilities and heightened security for both operators and customers. The elimination of manual tasks, in both scenarios, represents cost savings. When doors are connected to the cloud, their geographical location is rendered largely irrelevant. Online doors and locks enable monitoring capabilities and heightened security for both operators and customers They become IoT devices which are fully integrated and remotely programmable from anywhere, at any time. This creates a powerful advantage for the managers of these environments, making it possible to report on the status of a whole chain of stores, or to monitor access to numerous storage facilities, using the intelligence that the technology provides from the data it collects. Open platforms powers continuous innovation All of these examples rely on open technology to make it possible, allowing developers and technology providers to avoid the pitfalls that come with the use of proprietary systems. The limitations of such systems have meant that the ideas, designs and concepts of the few have stifled the creativity and potential of the many, holding back innovation and letting the solutions become tired and their application predictable. Proprietary systems have meant that solution providers have been unable to meet their customers’ requirements until the latest upgrade becomes available or a new solution is rolled out. This use of open technology enables a system that allows for collaboration, the sharing of ideas and for the creation of partnerships to produce ground-breaking new applications of technology. Open systems demonstrate a confidence in a vendor’s own solutions and a willingness to share and encourage others to innovate and to facilitate joint learning. An example of the dynamic use of open technology is Axis’ physical access control hardware, which enables partners to develop their own cloud-based software for control and analysis of access points, all the while building and expanding on Axis’ technology platform. Modern access control solutions range from simple card readers to two factor authentication systems using video surveillance as a secondary means of identification Opportunities for growth Open hardware, systems and platforms create opportunities for smaller and younger companies to participate and compete, giving them a good starting point, and some leverage within the industry when building and improving upon existing, proven technologies. This is important for the evolution and continual relevance of the physical security industry in a digitally enabled world. Through increased collaboration across technology platforms, and utilising the full range of possibilities afforded by the cloud environment, the manufacturers, vendors and installers of today’s IP enabled access control systems can continue to create smart solutions to meet the ever-changing demands and requirements of their customers across industry.
There’s a lot of hype around the term ‘digital transformation.’ For some, it’s the integration of digital technology into everyday tasks. For others, it’s the incorporation of innovative processes aimed at making business optimization easier. In most cases, digital transformation will fundamentally change how an organization operates and delivers value to its customers. And within the security realm, the age of digital transformation is most certainly upon us. Technology is already a part of our day-to-day lives, with smart devices in our homes and the ability to perform tasks at our fingertips now a reality. No longer are the cloud, Internet of Things (IoT) and smart cities foreign and distant concepts full of intrigue and promise. Enhancing business operations We’re increasingly seeing devices become smarter and better able to communicate with each other These elements are increasingly incorporated into security solutions with each passing day, allowing enterprises the chance to experience countless benefits when it comes to enhancing both safety and business operations. The term ‘connected world’ is a derivative of the digital transformation, signifying the increasing reliance that we have on connectivity, smart devices and data-driven decision-making. As we become more familiar with the advantages, flaws, expectations and best practices surrounding the connected world, we can predict what issues may arise and where the market is heading. We’re increasingly seeing devices become smarter and better able to communicate with each other through the IoT to achieve both simple goals and arduous tasks. Within our homes, we’re able to control a myriad of devices with commands (‘Hey Google...’ or ‘Alexa...’), as well as recall data directly from our mobile devices, such as receiving alerts when someone rings our doorbell, there’s movement in our front yard or when a door has been unlocked. Analytics-Driven solutions The focus is now shifting to the business impacts of connectivity between physical devices and infrastructures, and digital computing and analytics-driven solutions. Within physical security, connected devices can encompass a variety of sensors gathering massive amounts of data in a given timeframe: video surveillance cameras, access control readers, fire and intrusion alarms, perimeter detection and more. As the data from each of these sensors is collected and analyzed through a central platform, the idea of a connected world comes to fruition, bringing situational awareness to a new level and fostering a sense of proactivity to identifying emerging threats. The connected world, however, is not without its challenges, which means that certain considerations must be made in an effort to protect data, enhance structured networking and apply protective protocols to developing technology. Physical security systems We can expect to see the conversations regarding data privacy and security increase as well As the use of connected devices and big data continue to grow, we can expect to see the conversations regarding data privacy and security increase as well. Connectivity between devices can open up the risk of cyber vulnerabilities, but designing safeguards as technology advances will lessen these risks. The key goal is to ensure that the data organizations are using for enhancement and improvements is comprehensively protected from unauthorized access. Manufacturers and integrators must be mindful of their products' capabilities and make it easy for end users to adhere to data sharing and privacy regulations. These regulations, which greatly affect physical security systems and the way they're managed, are being implemented worldwide, such as the European Union's General Data Protection Regulation (GDPR). In the United States, California, Vermont and South Carolina have followed suit, and it can be expected that more countries and U.S. states develop similar guidelines in the future. Technology is already a part of our day-to-day lives, with smart devices in our homes and the ability to perform tasks at our fingertips now a reality Automatic security updates Mitigating the concerns of the ‘connected world’ extends beyond just data privacy. IoT technology is accelerating at such a pace that it can potentially create detrimental problems for which many organizations may be ill-prepared - or may not even be able to comprehend. The opportunities presented by an influx of data and the IoT, and applying these technologies to markets such as smart cities, can solve security and operational problems, but this requires staying proactive when it comes to threats and practicing the proper protection protocols. As manufacturers develop devices that will be connected on the network, integrating standard, built-in protections becomes paramount. This can take the form of continuous vulnerability testing and regular, automatic security updates. Protocols are now being developed that are designed to ensure everything is encrypted, all communications are monitored and multiple types of attacks are considered for defensive purposes to provide the best security possible. IoT-Connected devices Hackers wishing to do harm will stop at nothing to break into IoT-connected devices Built-in protection mechanisms send these kinds of systems into protection mode once they are attacked by an outside source. Another way for manufacturers to deliver solutions that are protected from outside threats is through constant and consistent testing of the devices long after they are introduced to the market. Hackers wishing to do harm will stop at nothing to break into IoT-connected devices, taking every avenue to discover vulnerabilities. But a manufacturer that spends valuable resources to continue testing and retesting products will be able to identify any issues and correct them through regular software updates and fixes. ‘IoT’ has become a common term in our vocabularies and since it’s more widely understood at this point and time, it's exciting to think about the possibilities of this revolutionary concept. Providing critical insights The number of active IoT devices is expected to grow to 22 billion by 2025 — a number that is almost incomprehensible. The rise of 5G networks, artificial intelligence (AI) and self-driving cars can be seen on the horizon of the IoT. As more of these devices are developed and security protocols are developed at a similar pace, connected devices stand to benefit a variety of industries, such as smart cities. Smart cities rely on data communicated via the IoT to enhance processes and create streamlined approaches Smart cities rely on data communicated via the IoT to enhance processes and create streamlined approaches to ensuring a city is well-run and safe. For example, think of cameras situated at a busy intersection. Cameras at these locations have a variety of uses, such as investigative purposes in the event of an accident or for issuing red-light tickets to motorists. But there are so many other possible purposes for this connected device, including providing critical insights about intersection usage and traffic congestion. These insights can then be used to adjust stoplights during busy travel times or give cities valuable data that can drive infrastructure improvements. Physical security market The impact of connected devices on cities doesn’t stop at traffic improvement. The possibilities are endless; by leveraging rich, real-time information, cities can improve efficiencies across services such as transportation, water management and healthcare. However, stringent protections are needed to harden security around the networks transmitting this kind of information in an effort to mitigate the dangers of hacking and allow this technology to continuously be improved. Whether you believe we’re in the midst of a digital transformation or have already completed it, one thing is certain: businesses must begin thinking in these connectivity-driven terms sooner rather than later so they aren’t left behind. Leveraging smart, connected devices can catapult organizations into a new level of situational awareness, but adopting protections and remaining vigilant continues to be a stalwart of technological innovation within the physical security market and into the connected world.
Johnson Controls recently unveiled the findings of its 2018 Energy Efficiency Indicator (EEI) survey that examined the current and planned investments and key drivers to improve energy efficiency and building systems integration in facilities. Systems integration was identified as one of the top technologies expected to have the biggest impact on the implementation in smart buildings over the next five years, with respondents planning to invest in security, fire and life-safety integrations more so than any other systems integration in the next year. As advanced, connected technologies drive the evolution of smart buildings, security and safety technologies are at the center of more intelligent strategies as they attribute to overall building operations and efficiencies. SecurityInformed.com spoke with Johnson Controls, Building Solutions, North America, VP of Marketing, Hank Monaco, and Senior National Director of Municipal Infrastructure and Smart Cities, Lisa Brown, about the results of the study, smart technology investments and the benefits of a holistic building strategy that integrates security and fire and life-safety systems with core building systems. Q: What is the most striking result from the survey, and what does it mean in the context of a building’s safety and security systems? The results show an increased understanding about the value of integrating safety and security systems with other building systems Hank Monaco: Investment in building system integration increased 23 percent in 2019 compared to 2018, the largest increase of any measure in the survey. When respondents were asked more specifically what systems they we planning to invest in over the next year, fire and life safety integration (61%) and security system integration (58%) were the top two priorities for organizations. The results show an increased understanding about the value of integrating safety and security systems with other building systems to improve overall operations and bolster capabilities beyond the intended function of an individual system. Q: The survey covers integration of fire, life safety and security systems as part of "smart building" systems. How do smarter buildings increase the effectiveness of security and life safety systems? Hank Monaco: A true “smart building” integrates all building systems – security, fire and life-safety, HVAC, lighting etc. – to create a connected, digital infrastructure that enables individual technologies to be more intelligent and perform more advanced functions beyond what they can do on their own. For example, when sensors and video surveillance are integrated with lighting systems, if abnormal activity is detected on the building premise, key stakeholders can be automatically alerted to increase emergency response time. With integrated video surveillance, they also gain the ability to access surveillance footage remotely to assess the situation. When sensors and video surveillance are integrated with lighting systems abnormal activity on the premise can automatically be detected Q: How can integrated security and life safety systems contribute to greater energy efficiency in a smart building environment? Hank Monaco: Security, fire and life-safety systems can help to inform other building systems about how a facility is used, high-trafficked areas and the flow of occupants within a building. Integrated building solutions produce a myriad of data that can be leveraged to increase operational efficiencies. From an energy efficiency standpoint, actionable insights are particularly useful for areas that are not frequently occupied or off-peak hours as you wouldn’t want to heat or cool an entire building for just one person coming in on the weekend. When video surveillance is integrated with HVAC and lighting systems, it can monitor occupancy in a room or hallway. The video analytics can then control the dimming of lights and the temperature depending on occupant levels in a specific vicinity. Similarly, when access control systems are integrated with these same systems, once a card is presented to the reader, it can signal the lights or HVAC system to turn on. In this example, systems integration can ultimately help enable energy savings in the long run. Security and life safety systems contribute to help enable greater energy efficiency and energy savings in the long run Q: What other benefits of integration are there (beyond the core security and life safety functions)? Hank Monaco: Beyond increased security, fire and life-safety functions, the benefits of systems integration include: Increased data and analytics to garner a holistic, streamlined understanding of how systems function and how to improve productivity Ability to track usage to increase efficiency and reduce operational costs Enhanced occupant experience and comfort Increased productivity and workflow to support business objectives Smart-ready, connected environment that can support future technology advancements Q: What lesson or action point should a building owner/operator take from the survey? How can the owner of an existing building leverage the benefits of the smart building environment incrementally and absent a complete overhaul? Lisa Brown: Johnson Controls Energy Efficiency Indicator found that 77% of organizations plan to make investments in energy efficiency and smarter building technology this year. This percentage demonstrates an increased understanding of the benefits of smart buildings and highlights the proactive efforts building owners are taking to adopt advanced technologies. There is an increased understanding that buildings operate more effectively when different building systems are connected As smart buildings continue to evolve, more facilities are beginning to explore opportunities to advance their own spaces. A complete overhaul of legacy systems is not necessary as small investments today can help position a facility to more easily adopt technologies at scale in the future. As a first step, it’s important for building owners to conduct an assessment and establish a strategy that defines a comprehensive set of requirements and prioritizes use-cases and implementations. From there, incremental investments and updates can be made over a realistic timeline. Q: What is the ROI of smart buildings? Lisa Brown: As demonstrated by our survey, there is an increased understanding that buildings operate more effectively when different building systems are connected. The advanced analytics and more streamlined data that is gathered through systems integration can provide the building-performance metrics to help better understand the return on investment (ROI) of the building systems. This data is used to better understand the environment and make assessments and improvements overtime to increase efficiencies. Moreover, analytics and data provide valuable insights into where action is needed and what type of return can be expected from key investments.
There was a time when men dominated the physical security industry. On second thought, that time is today. Even with increasing numbers of women entering our community, it’s an industry that is still mostly populated by men. But change is coming, and the industry as a whole is benefiting greatly from a surge in female voices. We asked this week’s Expert Panel Roundtable: What is the changing role of women in security?
Artificial Intelligence. You’ve heard the words in just about every facet of our lives, just two words, and they’re quite possibly the most moving, life-changing words employed in everyday conversations. So what exactly is AI, who currently uses it and should be using it? What is AI? AI is a powerful way of collecting, qualifying and quantifying data toward a meaningful conclusion to help us reach decisions more quickly or automate processes which could be considered mundane or repetitive. AI in its previous state was known as “machine learning” or “machine processing” which has evolved into “deep learning” or, here in the present, Artificial Intelligence. AI as it applies to the security and surveillance industry provides us the ability to discover and process meaningful information more quickly than at any other time in modern history. Flashback - VCR tapes, blurred images, fast-forward, rewind and repeat. This process became digital, though continued to be very time-consuming. Today’s surveillance video management systems have automated many of these processes with features like “museum search” seeking an object removed from a camera view or “motion detection” to create alerts when objects move through a selected viewpoint. These features are often confused with AI, and are really supportive analytics of the Artificial Intelligence, not AI themselves. Machine Learning Fully appreciating AI means employment of a machine or series of machines to collect, process and produce information obtained from basic video features or analytics. What the machines learn depends on what is asked of them. The truth is, the only way the AI can become meaningful is if there is enough information learned to provide the results desired. If there isn’t enough info, then we must dig deeper for information or learn more, properly described as “deep-learning” AI. Translated, this means that we need to learn more on a deeper level in order to obtain the collaborative combined information necessary to produce the desired result. Deep learning AI Deep learning AI can afford us the ability to understand more about person characteristic traits & behaviors. Applying this information can then further be applied to understand how to interpret patterns of behavior with the end goal of predictable behavior. This prediction requires some degree of human interpretation so that we are able to position ourselves to disrupt patterns of negative behavior or simply look for persons of interest based on these patterns of behavior. These same patterns evolve into intelligence which over time increases the machine’s ability to more accurately predict patterns that could allow for actions to be taken as a result. This intelligence which is now actionable could translate to life safety such as stopping a production manufacturing process, if a person were to move into an area where they shouldn’t be which might put them in danger. Useful applications of intelligence Informative knowledge or intelligence gathered could be useful in retail applications as well by simply collecting traffic patterns as patrons enter a showroom. This is often displayed in the form of heat mapping of the most commonly traveled paths or determining choke points that detract from a shopper’s experience within the retail establishment. It could also mean relocating signage to more heavily traveled foot-paths to gain the highest possible exposure to communicating a sale or similar notice, perhaps lending itself to driving higher interest to a sale or product capability. Some of this signage or direction could even translate to increased revenues by realigning the customer engagement and purchasing points. Actionable Intelligence From a surveillance perspective, AI could be retranslated to actionable intelligence by providing behavioral data to allow law enforcement to engage individuals with malicious intent earlier, thus preventing crimes in whole or in part based on previously learned data. The data collection points now begin to depart from a more benign, passive role into an actionable role. As a result, new questions are being asked regarding the cameras intended purpose or role of its viewpoint such as detection, observation, recognition or identification. Detecting human presence By way of example, a camera or data collector may need to detect human presence, as well as positively identify who the person is. So the analytic trip line is crossed or motion box activated or counter-flow is detected which then creates an alert for a guard or observer to take action. Further up the food chain, a supervisor is also notified and the facial characteristics are captured. These remain camera analytics, but now we feed this collected facial information to a graphic processing unit (GPU) which could be employed to compare captured characteristics with pre-loaded facial characteristics. When the two sources are compared and a match produced, an alert could be generated which results in an intervention or other similar action with the effort of preventing a further action. This process- detect, disrupt, deter or detain could be considered life-saving by predictably displaying possible outcomes in advance of the intended actions. The next level is deep-learning AI which employs the same characteristics to determine where else within the CCTV ecosystem the individual may have been previously by comparatively analyzing other collected video data. This becomes deep-learning AI when the GPU machine is able to learn from user-tagged positive identification, which the machine learns and begins to further reprocess its own data to further understand where else the person of interest (POI) may have existed on the ecosystem and more correctly improve its own predictive capabilities, thus becoming faster at displaying alerts and better at the discovery of previously archived video data. The future In conclusion, the future of these “predictables” wholly rests in the hands of the purchasing end-user. Our job is to help everyone understand the capabilities and theirs is to continue to make the investment so that the research perpetuates upon itself. Just think where we’d be if purchasers didn’t invest in the smartphone?
Edge devices (and edge computing) are the future. Although, this does seem a little cliché, it is the truth. The edge computing industry is growing as quickly as technology can support it and it looks like we will need it to. IoT Global Market The IoT (Internet of Things) industry alone will have put 15 billion new IoT devices into operation by the year 2020 according to a recent Forbes article titled, “10 Charts That Will Challenge Your Perspective of IoT’s growth”. IoT devices are not the only edge devices we have to deal with as the total number of connected edge devices includes the likes of devices like security devices, phones, sensors, retail sales devices, and industrial and home automation devices. The IoT (Internet of Things) industry alone will have put 15 billion new IoT devices into operation by the year 2020 The sheer number of devices begins to bring thoughts of possible security and bandwidth implications into perspective. The amount of data that will need to be passed and processed with all of these devices will be massive. There needs to be consideration taken by all business owners and automation engineers into how this amount of data and processing will be conducted. Ever-Expanding Edge Devices Market As the number of edge devices in the marketplace and their use among consumers and businesses rises, the need to be able to handle the data from all of these devices is no longer going to be suitable for central server architectures. We are talking about hundreds of billions and even trillions of devices. According to IHS Markit researchers’ study, there were 245 million CCTV cameras worldwide. One has to imagine there are at least 25% of that many access control devices (61.25 million devices) based on a $344 million market cap also calculated by IHS Markit’s researchers. If all the other edge devices mentioned earlier are considered then one can see that trying to route them all through servers for processing is going to start to become difficult if it hasn’t already, -which arguably it already has, as is evidenced by the popularity of cloud-based solutions amongst those businesses that already use a lot of edge devices or are processing a lot of information on a constant basis. Cloud Computing The question is whether cloud computing the most effective and efficient solution as the IoT industry grows The question is this; is cloud computing the most effective and efficient solution as the IoT industry grows and the amount of edge devices becomes so numerous? My belief is that it is not. Taking the example of a $399 USD device that is just larger than the size of a pack of cards and runs a CPU benchmarked at the same level as a mid-size desktop. This device has 8GB RAM and 64GB EMMC built-in and a GPU that can comfortably support a 4K signal at 60Hz with support for NVMe SSDs for add-on storage. This would have been unbelievable five years ago. As the price of edge computing goes down, which it has done in a dramatic way over the last 10 years (as can be seen with my recent purchase), the price to maintain a central server that can perform the processing required for all of the new devices being introduced to the world (due to the low cost of entry for edge device manufacturers) becomes more expensive. This introduces the guarantee that there will be a point where it will be less expensive for businesses, and consumers alike, to do the bulk of their processing at the edge as opposed to in central server architectures. Cloud computing is now being overtaken by edge computing, the method of processing data at the edge of the network in the devices themselves Edge Computing There are a plethora of articles discussing and detailing the opposition between the two sides of the computing technology coin, cloud computing and edge computing. The gist of it is that “cloud computing” was the hot new buzzword three years ago and is now being overtaken by “edge computing.” The truth is that cloud computing is a central server architecture hosted at someone else’s location. Edge computing is going to be a necessary development in the technology industry Edge computing is the method of processing data at the edge of the network (in the devices themselves) and allowing for less resources required at a central location. There is certainly a use case for both, however the shift to edge computing amongst the general public and small to mid-sized businesses will not be a surprise to those players, who have been paying attention. One article titled, “Next Big Thing In Cloud Computing Puts Amazon And Its Peers On The Edge” by Investor’s Business Daily takes the stance that edge computing is going to completely displace centralized cloud computing and even coins the phrase, “Cloud computing, decentralized” to explain edge computing. It speaks for the stance that most experts in technology seem to be taking, including Amazon Web Services’ VP of Technology, Marco Argenti according to the same article. We know that edge computing is going to be a necessary development in the technology industry, and it is happening as I write this, and quickly at that. Cost Efficiency Of Edge Processing As time goes on, the intersection between the prices of network bandwidth, edge processing and maintaining super powerful central servers will cause edge processing to be the most efficient and cost-effective way to maintain a scalable network in any environment, including datacenters. Owning a central server or utilizing edge computing become the better options As it currently stands, most residential users can only achieve a 1Gbps WAN (internet) connection, and small to medium-sized business can’t get much more but seem to get much less, based on my personal experience. When more than 1Gbps needs to be processed, cloud computing becomes very expensive at which point, owning a central server or utilizing edge computing become the better options. Then you look a total cost of ownership and when the cost of edge computing is less expensive than the cost of maintaining central server architectures, edge computing becomes the single best option. So, I’ll say it again, edge devices (and edge computing) are the future.
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