DSX Access control systems & kits (6)
WinDSX is a powerful access control and system monitoring application that harnesses the power of the Windows XP, Vista, and 7 Professional™ operating systems. WinDSX combines point monitoring and access control with Photo ID Badging, Time and Attendance, Alarm Graphics, DVR/NVR Integration, Elevator Control, Alarm Email/Text Message Notification, Threat Level Management, HazMat / Emergency Lockdown, and FIPS/TWIC card compatibility.WinDSX can support your access control needs from a single PC or multi-user Local Area Network to an enterprise solution with SQL Server as the database engine. The system utilizes TCP/IP network communications to provide user interaction and real time monitoring to the workstation PC’s located anywhere on the LAN or WAN. Password protection allows for operator specific capabilities at each workstation.There are two Editions of Software. WinDSX comes standard with a Microsoft Access database engine. WinDSX SQL is designed to work with Microsoft SQL Server as the database engine. Both editions of WinDSX have similar features and capabilities. Microsoft SQL Server is user supplied.WinDSX implements Point and Click operation with hierarchical tree views and pop up menus for ease of use. I/O monitoring and control is achieved through animated icons that depict the real time status of each input or output. I/O points can also be assigned to an Override Group to allow for multiple inputs and outputs to be monitored and controlled from a single icon.Scheduled Overrides can be assigned to individual Inputs and Outputs as well as Override Groups. These schedules allow operators to quickly assign time and date sensitive instructions determining the open/secure status of outputs and the armed state of inputs.Add to Compare
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Automatic gates remain an increasingly popular security choice for family homes, business premises or public buildings – anywhere that full control over access is needed. While there is much to consider for installers when advising clients on the right solution for their property, from the size, weight and cost of a gate system, it’s useful to be aware of the latest developments in the market, as this can help to find the right option to fit their needs. The need for speed Gates can be automated to either swing or to slide open, and there are many factors to take into consideration, when advising on which option to use. However, swing gate motors tend to be slower than the speeds achievable for sliding gates, which means the latter are usually more popular, especially for commercial sites where timing can be among the more important factors. One of the most recent developments in the sliding gates market is the introduction of faster motors One of the most recent developments in the sliding gates market is the introduction of faster motors, such as those from Bft Automation, which allow for opening and closing at a quicker speed than has previously been achievable. Fast authorised access control From a security point of view, the ability to allow people and goods in and out of a property at a quicker pace reduces the risk of unauthorised entry, while waiting for a gate to close – an important consideration in both commercial and residential contexts. Other benefits of a faster motor include reduced waiting times. This can be particularly useful for properties in busy areas, where a vehicle could risk blocking traffic, while waiting to turn into a site controlled by a slower gate. Faster motors Also, a faster motor could potentially reduce the risk of an accident from vehicles entering a property at speed. For example, this might happen if someone was making their first visit to a property situated off a fast road in an unfamiliar area. Beyond these practical considerations, in today’s fast-paced world, people aren’t as used to having to wait for things and this applies to the time it takes to get in and out of their own property. So, security benefits aside, faster motors are likely to be more appealing for clients who have sliding gates fitted to their domestic property and who prioritise convenience. The choice of which of the new faster motors to use will be impacted by a number of factors, including the weight of the gates. Essentially, the lighter the gate is the higher the speed achievable. And, as always, it’s important to make sure that any installation complies with safety regulations. Intelligent torque management systems A further development in access control technology includes intelligent torque management systems A further development in access control technology includes intelligent torque management systems, which update the level of torque required to perform the gate’s operation, allowing it to work at the optimum level, regardless of weather conditions, temperature or the degree of wear and tear on the device. Depending on the typical weather conditions experienced at the site and the anticipated frequency of use, it’s worth looking at options that take these factors into account. Importance of security rights In some scenarios, it’s important for particular individuals to have security rights. In which case, there are motors available that come with personalised keys, which are unique, providing an additional level of security. Installers often face the challenge of fitting gate motors in confined spaces, potentially making for a time consuming and technically demanding task. Available space When you only have a small space to work with, simple details can go a long way to helping you. For example, by putting the fastening screws on the front of a motor’s casing, installation and maintenance are easier and more convenient, even in particularly compact areas. Working with suppliers that offer more than just a manual means you’ll have access to advice and support on how new products work in practise and what you need to consider before advising on an installation.
Display solutions play a key role in SOCs in providing the screens needed for individuals and teams to visualise and share the multiple data sources needed in an SOC today. Security Operation Centre (SOC) Every SOC has multiple sources and inputs, both physical and virtual, all of which provide numerous data points to operators, in order to provide the highest levels of physical and cyber security, including surveillance camera feeds, access control and alarm systems for physical security, as well as dashboards and web apps for cyber security applications. Today’s advancements in technology and computing power not only have increasingly made security systems much more scalable, by adding hundreds, if not thousands, of more data points to an SOC, but the rate at which the data comes in has significantly increased as well. Accurate monitoring and surveillance This has made monitoring and surveillance much more accurate and effective, but also more challenging for operators, as they can’t realistically monitor the hundreds, even thousands of cameras, dashboards, calls, etc. in a reactive manner. Lacking situational awareness is often one of the primary factors in poor decision making In order for operators in SOC’s to be able to mitigate incidents in a less reactive way and take meaningful action, streamlined actionable data is needed. This is what will ensure operators in SOC truly have situational awareness. Situational awareness is a key foundation of effective decision making. In its simplest form, ‘It is knowing what is going on’. Lacking situational awareness is often one of the primary factors in poor decision making and in accidents attributed to human error. Achieving ‘true’ situational awareness Situational awareness isn’t just what has already happened, but what is likely to happen next and to achieve ‘true’ situational awareness, a combination of actionable data and the ability to deliver that information or data to the right people, at the right time. This is where visualisation platforms (known as visual networking platforms) that provide both the situational real estate, as well as support for computer vision and AI, can help SOCs achieve true situational awareness Role of computer vision and AI technologies Proactive situational awareness is when the data coming into the SOC is analysed in real time and then, brought forward to operators who are decision makers and key stakeholders in near real time for actionable visualisation. Computer vision is a field of Artificial Intelligence that trains computers to interpret and understand digital images and videos. It is a way to automate tasks that the human visual system can also carry out, the automatic extraction, analysis and understanding of useful information from a single image or a sequence of images. There are numerous potential value adds that computer vision can provide to operation centres of different kinds. Here are some examples: Face Recognition: Face detection algorithms can be applied to filter and identify an individual. Biometric Systems: AI can be applied to biometric descriptions such as fingerprint, iris, and face matching. Surveillance: Computer vision supports IoT cameras used to monitor activities and movements of just about any kind that might be related to security and safety, whether that's on the job safety or physical security. Smart Cities: AI and computer vision can be used to improve mobility through quantitative, objective and automated management of resource use (car parks, roads, public squares, etc.) based on the analysis of CCTV data. Event Recognition: Improve the visualisation and the decision-making process of human operators or existing video surveillance solutions, by integrating real-time video data analysis algorithms to understand the content of the filmed scene and to extract the relevant information from it. Monitoring: Responding to specific tasks in terms of continuous monitoring and surveillance in many different application frameworks: improved management of logistics in storage warehouses, counting of people during event gatherings, monitoring of subway stations, coastal areas, etc. Computer Vision applications When considering a Computer Vision application, it’s important to ensure that the rest of the infrastructure in the Operation Centre, for example the solution that drives the displays and video walls, will connect and work well with the computer vision application. The best way to do this of course is to use a software-driven approach to displaying information and data, rather than a traditional AV hardware approach, which may present incompatibilities. Software-defined and open technology solutions Software-defined and open technology solutions provide a wider support for any type of application the SOC may need Software-defined and open technology solutions provide a wider support for any type of application the SOC may need, including computer vision. In the modern world, with everything going digital, all security services and applications have become networked, and as such, they belong to IT. AV applications and services have increasingly become an integral part of an organisation’s IT infrastructure. Software-defined approach to AV IT teams responsible for data protection are more in favour of a software-defined approach to AV that allow virtualised, open technologies as opposed to traditional hardware-based solutions. Software’s flexibility allows for more efficient refreshment cycles, expansions and upgrades. The rise of AV-over-IP technologies have enabled IT teams in SOC’s to effectively integrate AV solutions into their existing stack, greatly reducing overhead costs, when it comes to technology investments, staff training, maintenance, and even physical infrastructure. AV-over-IP software platforms Moreover, with AV-over-IP, software-defined AV platforms, IT teams can more easily integrate AI and Computer Vision applications within the SOC, and have better control of the data coming in, while achieving true situational awareness. Situational awareness is all about actionable data delivered to the right people, at the right time, in order to address security incidents and challenges. Situational awareness is all about actionable data delivered to the right people Often, the people who need to know about security risks or breaches are not physically present in the operation centres, so having the data and information locked up within the four walls of the SOC does not provide true situational awareness. Hyper-scalable visual platforms Instead there is a need to be able to deliver the video stream, the dashboard of the data and information to any screen anywhere, at any time — including desktops, tablets phones — for the right people to see, whether that is an executive in a different office or working from home, or security guards walking the halls or streets. New technologies are continuing to extend the reach and the benefits of security operation centres. However, interoperability plays a key role in bringing together AI, machine learning and computer vision technologies, in order to ensure data is turned into actionable data, which is delivered to the right people to provide ‘true’ situational awareness. Software-defined, AV-over-IP platforms are the perfect medium to facilitate this for any organisations with physical and cyber security needs.
The Annual Fraud Indicator estimates that fraud costs the United Kingdom approximately £190 billion every year. The private sector is hit the hardest and loses around £140 billion a year, while the public sector loses more than £40 billion, and individuals lose roughly £7 billion. The effects of fraud can be devastating on both individuals and organisations. Companies can suffer irreversible damage to reputation and be forced to close, and individuals can experience significant personal losses. Everyone should be aware of the risks and take steps to protect themselves against fraudulent activity. Fraud detection technology Fraud detection technology has advanced rapidly, over the years and made it easier for security professionals to detect and prevent fraud. Here are some of the key ways that Artificial Intelligence (AI) is revolutionising fraud detection - with insight from Tessema Tesfachew, the Head of Product at Avora. An anomaly can be described as a behaviour that deviates from the expected An anomaly can be described as a behaviour that deviates from the expected. According to Tessema Tesfachew, “Autonomous monitoring and anomaly detection specifically, have made detecting fraudulent activity faster and more accurate. Machines can monitor data 24/7 as it comes in, build patterns of behaviour that take into account seasonality and shifting trends, and identify events that don’t fit the norm.” For example, banks can use AI software to gain an overview of a customer’s spending habits online. Having this level of insight allows an anomaly detection system to determine whether a transaction is normal or not. Suspicious transactions can be flagged for further investigation and verified by the customer. If the transaction is not fraudulent, then the information can be put into the anomaly detection system to learn more about the customer’s spending behaviour online. Accurate root cause analysis Root cause analysis goes one step further than anomaly detection, by allowing security professionals to pinpoint what caused the anomaly. Tessema explains how an example of this would be if a system detects that the rate of fraudulent transactions has increased. Root cause analysis would pinpoint the specific ATM or point of sale, where this increase is occurring. Swift action can then be taken to prevent fraudulent activity at that location in the future. Fewer false positives As mentioned, false positives can occur if a fraud detection system identifies behaviour that goes against the norm, for instance, if a customer makes a transaction in a new location. In many cases, customers are required to complete identity verification to prove that a transaction is not fraudulent. Digital customer identity verification can help brands build a strong and reputable image. That said, forcing users to complete identify certifications regularly can cause frustration and harm the customer experience. AI anomaly detection AI fraud detection systems can carry out accurate data analysis in milliseconds and identify complex patterns in data AI anomaly detection is far more accurate and results in fewer false positives. Increasing the accuracy of anomaly detection helps companies improve customer relationships and build a strong reputation. This will have a positive impact on brand image and sales revenue. AI fraud detection systems can carry out accurate data analysis in milliseconds and identify complex patterns in data. Machines are more efficient than even the most skilled fraud analysts and make fewer errors. This is why AI fraud detection software is the preferred option in larger organisations. Importance of fraud analysts However, fraud analysts still play an important role in fraud prevention. Using a combination of human intervention and AI is usually the most effective approach when it comes to fraud detection. According to pymnts.com, innovative organisations now use a variety of AI and supervised and unsupervised machine learning to identify and protect against fraud. AI systems can complete time-consuming and repetitive tasks, such as data collection and analysis. This means that fraud analysts can focus their time and attention on critical tasks that require human intervention, e.g. monitoring risk scores. AI can automate processes and enhance the quality of the fraud analysts’ work. Conclusion In to Tessema Tesfachew’s opinion, “Fraud detection has become vastly more efficient and effective with the introduction of Artificial Intelligence (AI). Previously, methods for detecting fraudulent activities were still data-rich, but relied more on human intervention and expert bias, and were thus, more time consuming and prone to error.” AI technology, particular anomaly detection, has streamlined fraud detection and created a more efficient, and accurate system for detecting and preventing fraud. Covid-19 has increased the number of online transactions, which creates more opportunities for fraudulent activity. However, it also allows businesses to gain more information on their customers and enhance the capabilities of AI security software. It is more important than ever for organisations to utilise AI technology in fraud detection strategies.
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