CCTV Recording Software(64)
MOBOTIX AG launches the new Lowlight Exposure Optimisation (MxLEO) software and new hardware for its building automation/home automation offering. The MxLEO is part of the latest MOBOTIX firmware 4.1.9 that also includes support for Hemispheric 5 Megapixel technology sensor modules. "MxLEO is the latest in MOBOTIX image enhancing technology," says Dr. Ralf Hinkel, founder and CEO of MOBOTIX AG. "The main benefits for all MOBOTIX users are that our camera solutions now offer a dramatically enhanced sharpness of images, considerably less noise in these images, extremely user-friendly light settings in the camera(s), optimised recording and alarm results using the added MxActivitySensor intelligence. All these benefits in low-light conditions are made possible through the new MOBOTIX 5 Megapixel technology". MOBOTIX is adamant that one of the most important criteria for a security camera is to offer high-quality images no matter what. "Our users do not have the luxury to choose when and how they want to use MOBOTIX camera solutions whether it is day, night, good/bad weather or whatever. Our technology is put to test everyday and in the worst conditions imaginable for a camera. The sun is shining directly at it - no problem the camera handles it through the built-in automatic exposure settings, unwanted movement in the images triggering alarms - no longer a problem as the MxActivitySensor in the camera reduces these alarms and now in extreme low light conditions - the MxLEO enhances the images to a completely new level", continues Dr. Hinkel. The Lowlight Exposure Optimisation software is included in the firmware release 4.1.9 and is as all MOBOTIX software and firmware free of charge. It can be downloaded on all 5 Megapixel MOBOTIX cameras and is included as standard from today. Apart from the MxLEO does the 4.1.9 also include support for MOBOTIX new Hemispheric sensor modules for the newly released S15 and M15 camera platforms. The firmware 4.1.9 enhances the MOBOTIX door station offering further as MOBOTIX recently launched the AudioMount for the S14/S15 camera platform. "We have customers around the world that want to build their own building automation/home automation solutions," says Dr. Hinkel. "As a customer-focused company we have seen the possibilities and advantages of using our core strength in decentralised product technology to allow the S14/S15 product platform to be the main product for our partners to build their own door station offerings around. For instance mailboxes, different steel casings, etc. are solutions that MOBOTIX does not offer but we can help our customers through sharing our technology solutions with them. The AudioMount is extremely simple to install and integrate for the users." MOBOTIX also offers a new door opener, the MxDoorMaster for their users to integrate in their own solutions. MOBOTIX also launches a new component for the T24 Door Station product platform, the BellRFID keypad. The BellRFID keypad offers the possibility of adding a simplified keypad for usage in the T24 Door Station product platform. "The BellRFID is modular doorbell concept that simplifies the usage for many users. We have also integrated the latest in RFID technology so that users can open their doors completely secure with an RFID card. Of course the BellRFID includes the standard in MOBOTIX Door Station technology including leaving and retrieving messages from the integrated mailbox and connection through the MOBOTIX App ", continues Dr. Hinkel. MOBOTIX also offers a unique service for their customers. "All MOBOTIX customers using the new BellRFID module can free of charge order their wanted and needed personalised name signs for the BellRFID module using optimised paper against UV radiation. We thought all our users were worth that", says Dr. Hinkel.Add to Compare
Samsung has launched new recording management software to facilitate the easy set up, monitoring and recording of images captured by the company's iPOLiS network camera and dome ranges. A four-channel version of Samsung's NET-i Ware recording software is available license-free with various upgrade versions on offer to allow a user to control up to 64 recording channels. The primary objective of the NET-i Ware recording software is to provide a full control, administration and set-up of cameras and domes from the company's iPOLiS range of network products, including the latest HD megapixel series, and allow images to be recorded and played back via a PC across the network. With this in mind, Samsung's design engineers have packed the NET-i Ware software with features to ensure operators are able to take full advantage of the latest IP technology. Various compression methods are therefore supported, including H.264, MPEG-4 & MJPEG. Multiple back-up video formats are also supported as are a number of audio formats, e.g. G.726, G.711, G.723 and PCM. The device registration process of the NET-i Ware software allows an operator to almost effortlessly register, modify or delete up to 64 Network devices and configure each one individually for scheduled or pre and post event recording. Other key features of the NET-i Ware software include: The NET-i Ware SNS-SF software will automatically backup/archive at a pre-determined time either every day or every week on a per camera basis to a file location of choice. The recorded data has a global auto deletion mode as well as an option to automatically overwrite the oldest video when the HDDs are full. The automatic sending of an email informing the recipient of the camera name, event type, event time and a snapshot JPEG image of what has triggered an alarm or a camera's motion detection function. An administrator can also decide if they wish to record both video and audio and if certain cameras should be hidden from an operators view. The NET-i Ware SNS-SF software empowers administrators to set-up User Groups, with each group given different levels of control, e.g. Set-up, PTZ controls covert monitoring, search facilities and back-up.Add to Compare
American Dynamics® VideoEdge® Network Video Recorder (NVR) is the industry's first turn-key appliance server that lets you transform standard commercially off-the-shelf (COTS) computers into enterprise NVRs. The bootable installation disc automatically installs everything you need including an embedded Linux operating system, web server, and all of the camera, network, security and storage applications within minutes.Each VideoEdge NVR can support as many as 128 cameras and can be configured with megapixel and standard IP cameras, plus analogue cameras via supported IP encoders. It supports a variety of other devices including the American Dynamics VideoEdge IP Encoder. The open architecture allows users to start with any number of cameras and scale up as needed by uploading a newer camera license to your NVR. Most of all, there is no need to register each individual camera as required by many other similar products on the market today. The true server-client architecture is designed to manage video very efficiently and achieve superior performance.VideoEdge NVR provides lower total cost of ownership by eliminating the need for patches, third-party applications, and licensing and other software costs because the various NVR applications and operating system are embedded in one Linux appliance.Add to Compare
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A deep native integration of Bosch cameras with software from ISS proactively catalyses the best in security and surveillance, while providing advanced intelligent video tools. ISS SecurOS provides intelligent enterprise video management solutions with emphasis on providing scalability and flexibility to meet the customer’s needs. Deeply integrating built-in video analytics from Bosch cameras improves operator efficiency and situational awareness to manage complex environments. ISS SecurOS maximises camera performance for license plate recognition, face recognition, and container/train carriages recognition. The cameras meet the performance needs for advanced analytics, ensuring the success of projects and saving time, resources, and cost. The partnership has delivered multi-thousand-camera safe city deployments, industrial analytics solutions, and systems for large-scale transport providers. The usage of roads and parking lots can be managed more effectively by knowing the whereabouts of each vehicle License plate capture The usage of roads and parking lots can be managed more effectively by knowing the whereabouts of each and every vehicle. Operations managers are accountable for efficient logistical flows and effective use of roads and parking lots. Knowing the ins and outs of the transport infrastructure and what’s going on at all times provides the knowledge required to ensure operations are running safely, efficiently and in compliance with the rules and laws. An important part of this comes from monitoring which vehicles are entering an area and ensuring they are allowed to be there. Capturing license plates of every vehicle moving in an area provides knowledge of traffic flows and usage patterns. Such a solution should also allow a customer to easily configure and manage monitoring preferences and permit easy data exchanges with other operational management systems and services to manage an infrastructure and logistics as a whole. Reliable license plate data Robust mechanical design of cameras ensures reliable 24/7 operation for many years even in harsh environments As transportation infrastructures are often operating around the clock, reliable vehicle identification data is required 24/7. This means that the cameras capturing this data should work in all lighting and weather conditions, for both slow- and fast-moving vehicles. Cameras must be built to produce usable images 24/7 in all weather conditions. For quality license plate recognition in both day and night, the cameras make use of supplementary infrared light. A special License Plate Recognition (LPR) mode, developed in collaboration with LPR software, delivers readable license plates even with glaring headlights and with fast moving vehicles. Robust mechanical design of cameras ensures reliable 24/7 operation for many years even in harsh environments. License Plate Capture solution The SecurOSTM AUTO system of ISS, when used with Bosch cameras, provides easy to deploy solutions for all of these requirements. It recognises license plates from many countries, manages and matches white, hot and blacklists and notifies the operator either in the GUI or through a messaging interface to other management systems. Additionally, the system can be used and managed as a standalone or embedded in other management systems on the premises.
If you’ve been paying attention over the last twelve months, you will have noticed that deep learning techniques and artificial intelligence (AI) are making waves in the physical security market, with manufacturers eagerly adopting these buzzwords at the industry's biggest trade shows. With all the hype, security professionals are curious to know what these terms really mean, and how these technologies can boost real-world security system performance. The growing number of applications of deep learning technology and AI in physical security is a clear indication that these are more than a passing fad. This review of some of our most comprehensive articles on these topics shows that AI is an all-pervasive trend that the physical security industry will do well to embrace quickly. Here, we examine the opportunities that artificial intelligence presents for smart security applications, and look back at how some of the leading security companies are adapting to respond to rapidly-changing expectations: What is deep learning technology? Machine Learning involves collecting large amounts of data related to a problem, training a model using this data and employing this model to process new data. Recently, there have been huge advances in a branch of Machine Learning called Deep Learning. This describes a family of algorithms based on neural networks. These algorithms are able to learn efficiently from example, and subsequently apply this learning to new data. Here, Zvika Ashani explains how deep learning technology can boost video surveillance systems. Relationship between deep learning and artificial intelligence With deep learning, you can show a computer many different images and it will "learn" to distinguish the differences. This is the "training" phase. After the neural network learns about the data, it can then use "inference" to interpret new data based on what it has learned. For example, if it has seen enough cats before, the system will know when a new image is a cat. In effect, the system “learns” by looking at lots of data to achieve artificial intelligence (AI). Larry Anderson explores how new computer hardware - the Graphic Processing Unit (GPU) – is making artificial intelligence accessible to the security industry. Improving surveillance efficiency and accuracy with AI Larry Anderson explains how the latest technologies from Neurala and Motorola will enable the addition of AI to existing products, changing an existing solution from a passive sensor to a device that is “active in its thinking.” The technology is already being added to existing Motorola body-worn-cameras to enable police officers to more efficiently search for objects or persons of interest. In surveillance applications, AI could eliminate the need for humans to do repetitive or boring work, such as look at hours of video footage. Intelligent security systems overcome smart city surveillance challenges AI technology is expected to answer the pressing industry questions of how to use Big Data effectively and make a return on the investment in expensive storage, while maintaining (or even lowering) human capital costs. However, until recently, these expectations have been limited by factors such as a limited ability to learn, and high ongoing costs. Zvika Ashani examines how these challenges are being met and overcome, making artificial intelligence the standard in Smart City surveillance deployments. Combining AI and robotics to enhance security operations With the abilities afforded by AI, robots can navigate any designated area autonomously to keep an eye out for suspicious behaviour or alert first responders to those who may need aid. This also means that fewer law enforcement and/or security personnel will have be pulled from surrounding areas. While drones still require a human operator to chart their flight paths, the evolution of artificial intelligence (AI) is increasing the capabilities of these machines to work autonomously, says Steve Reinharz. Future of artificial intelligence in the security industry Contributors to SourceSecurity.com have been eager to embrace artificial intelligence and its ability to make video analytics more accurate and effective. Manufacturers predicted that deep learning technology could provide unprecedented insight into human behaviour, allowing video systems to more accurately monitor and predict crime. They also noted how cloud-based systems hold an advantage for deep learning video analytics. All in all, manufacturers are hoping that AI will provide scalable solutions across a range of vertical markets.
It’s not hard to see why more and more locations are requesting security solutions that operate on an open system. Selecting products and platforms that utilise open standards—Session Initiation Protocol (SIP), HTTP, IEEE, RESTful APIs, etc.—provide additional levels of interoperability, scalability and versatility that give organisations the flexibility they want to be proactive with safety and security. Unfortunately, creating the right solution today isn’t quite as simple as reading a product sheet or specification. In the past, end users frequently were forced to pick hardware and software products that were proprietary to each individual manufacturer, meaning pieces of technology often didn’t have the ability to talk and interact with products that didn’t also carry its brand name. In the future, all systems likely will be open in some form and will provide a litany of connectivity options with little-to-no additional development time and resources. But until that day is here, it is important to manage the expectations for stakeholders involved with the project appropriately, knowing that the current security landscape has not yet evolved to the point that all systems are truly open. The current security space can resemble its past almost as much as its future Consumer technology expectations To be fair, the end user’s expectations are often set by what they see happening with consumer technology and not by what is currently available in the security marketplace. There, technological advancements can seem to happen overnight. The apps on your smartphone, for instance, perform almost instantaneous updates, even while you are not actively using it. As convenient as that may be with social media or gaming apps, this also can signal a system that regularly requires fixes and patches, a scenario that would not provide stakeholders with the advanced level of reliability that is demanded for adequate safety with commercial security products, in large part because it will expose locations to numerous liability issues. As a result, the current security space can resemble its past almost as much as its future. Decreased potential for compatibility Make no mistake, there are certainly many products available today that can easily integrate into open platforms, only in a more limited capacity. An IP desk phone, for example, could easily connect to another IP PBX system that can then place basic calls. But as the customer’s demand for additional sophisticated options increases—diagnostics, event triggers, location identification, etc.—the potential for compatibility decreases. When it comes to security, this is due to the fact that two products or systems rarely expose similar functionality using the same technology or language. Take this example, for instance: Manufacturer A sells a product that contains Features X and Y; Manufacturer B offers one with Y and Z. The customer therefore assumes - or may even be sold - a solution where X, Y and Z can all be configured. Pairing the two may give you interoperability with Feature Y fairly easily (if they are implemented the same way), but X and Z will not happen without an additional investment that may be difficult to procure. It benefits all parties to have a common understanding of the project from the very beginning Many manufacturers offer a list of ‘integration partners’ they are compatible with, but may not match the end user’s expectations Meeting end user expectations The devil, however, is in the details, a message that isn’t always effectively communicated to end users. Excusing it all off with the old idiom ‘It’s all Greek to me’ only sets up the project for potentially expensive revisions later on – costs that the integrator often has to eat. Therefore, it benefits all parties to have a common understanding of the project from the very beginning. Given the current state of the consumer marketplace, it is vital for integrators to understand the reality of the products they are considering before seeking out potential solutions. Many manufacturers offer a list of ‘integration partners’ they are compatible with, but these scenarios will carry a predefined scope that may not match the end user’s expectations. Assessing compatibility To understand the full options available, a copy of a manufacturer’s Software Development Kit (SDK) needs to be requested, which should include detailed information about the possibilities for integrations with their products. A third-party development firm or contractor is fully capable of providing the same level of work as the manufacturer From there, you can compare the devices being considered to see how compatible they are with one another. Finally, it is important to consider the practical implications of financing. If the end user is seeking features that are not currently possible, then additional development will need to be contracted in order to make it happen. Some manufacturers offer design services with developers who are acclimated to their platforms that can help expedite the learning curve. However, with the right SDK and a background in the platforms being used, a third-party development firm or contractor is fully capable of providing the same level of work as the manufacturer. To understand the full options available, a copy of a manufacturer’s Software Development Kit (SDK) needs to be requested Considerations for security system integration To reiterate, any integration, no matter the scope, requires you to consider the following three questions: What does the end user want? What can the products do today? How can you bridge the gap? It is imperative that both integrators and end users take the time to do the homework required with those three key questions to ensure they are selecting a solution that will not only work tomorrow, but also provides an appropriate layer of protection for people and assets today. Each party involved in an integration project needs to understand what exactly is available from a hardware and software standpoint This also should help mitigate any confusion or frustration that may be experienced by the customer. As much as we all would like to believe that each and every feature available is a viable option that simply isn’t feasible given the realities we face today. There will come a day when the technological advancements enjoyed by consumers around the world provide the type of experience that can be applied to security. Until that time arrives, though, each party involved in the project needs to understand what exactly is currently available from a hardware and software standpoint. The safety of everyone at that location depends on it.
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