IndigoVision Video Surveillance Transmission System(2)
IndigoVision has recently developed a number of new products and enhancements for its complete IP Video solution. These included the 9000 series of IP Video products supporting H.264 and an Internet Streaming Server.The 9000 range includes updated versions of products currently available in the 8000 range: transmitters, IP domes and Networked Video Recorders (NVRs). The new range provides the same high quality, low-latency video that has been consistently delivered by 8000 MPEG-4 based systems but with a reduction of up to 50% in bandwidth and storage requirement - or to put it another way, 9000 based systems can deliver significantly higher video quality for the same bandwidth. IndigoVision partners can therefore deploy a complete end-to-end IP Video solution based on the latest H.264 compression technology.The Internet Streaming Server software plug-in allows a standard web server to stream live video over the Internet from any camera in an IndigoVision solution. Developed following customer demand, this feature has many useful applications, for example delivering traffic camera feeds for local news websites. The plug-in is simply installed onto a PC web server that is connected directly to the IP Video network. The web server can then stream the selected live video simultaneously to as many as 10,000 Internet users without the need to install any proprietary software on the user's PC.‘Control Center', IndigoVision's class-leading video and alarm management software has also been updated with a number of new user features to accommodate the 9000 range. IndigoVision will be selling the new 9000 products alongside the existing 8000 range, providing a wider choice of solutions to the end user. Importantly, the new 9000 range is fully compatible with the current 8000 products, ensuring that any existing IndigoVision installations can be upgraded with products from either range.Add to Compare
4 channels, TX/RX, Telemetry Control, 1, Colour, 16, MPEG-4, H.264, 10/100 base T-Ethernet, TCP, UDP, ICMP, IGMP, SNMP, 25/30 fps, PAL, NTSC, 3400, 44 x 226 x 445, 12 V DC, > 36 W, 0 ~ 55, 1 Vp-p, 75 OhmsAdd to Compare
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According to IHS Market, it is estimated that there are over 60 million security cameras in the United States, and other reports say these cameras capture more than four billion hours of footage per week. Over the last decade, IP camera technology has dominated the conversation as it has provided users with a broad offering of enhanced image quality and features. With a large percentage of existing security systems relying on analog, many end users looking for high definition (HD) video quality have been forced to take on a complete system overhaul. Infrastructure Overhaul For HD Video To make the switch, customers would need to change everything, from cameras to hardware to wiring– not to mention the lengthy installation process that would ensue. IP cameras also require higher Internet speeds and more cloud space. Whether constrained by budget, bandwidth or storage, many end users have been unable to adopt this new video surveillance method.Thanks to technological advancements within the security industry, HD over Coax offers a viable solution for integrators and end users alike Thanks to technological advancements within the security industry, HD over Coax offers a viable solution for integrators and end users alike. By utilising the current Coaxial cables, this offering yields high definition video, while requiring minimal infrastructure changes and is an optimal surveillance choice for security customers. Plus, with new advancements and updates being made frequently to this technology, there is a solution for every security need. The enhanced alternative of HD over Coax has been warmly welcomed in the security industry, thanks to its simple solutions and ever-evolving features. Many new analog HD cameras are “plug and play,” able to connect directly to existing Coaxial cables. This eliminates the need for a complete system change, creating cost-savings for the end user and an enhanced video quality offering. Easy Solutions For HD Video As a result, integrators can cost-effectively upgrade their customer’s surveillance solution while using their legacy infrastructure, making it an attractive option for end users and an easy sell for dealers. Latency in video is another common issue with network-based camera systems, where even the slightest delay in video surveillance can hinder security response HD over Coax cameras themselves are always expanding and evolving to meet a wide array of security needs. With the introduction of fisheye and multi-sensor cameras, users now have a multitude of coverage options, not to mention the introduction of 4K bringing resolution options to the same level as IP. Some newer technologies are even touting 4K cameras paired with 4K digital video recorders (DVRs) made specifically for analog systems. Longer cables grant transmission for up to 1600 feet, double the distance of standard analog solutions, and triple that of IP systems. This single cable is able to transmit both HD video and audio. Recently, broadcast quality audio over Coax has become available in limited models, a substantial improvement over older analog technology, which was unable to transmit audio. Stopping Video Delay Latency in video is another common issue with network-based camera systems. Even the slightest delay in video surveillance can hinder security response. IP cameras are forced to compress and packetize their video for transmission. The outcome of this is a reduced number of images per video, which in turn causes delay. HD over Coax on the other hand, delivers an unlimited amount of HD images in real time, with smooth motion and impressive clarity. Additionally, the point-to-point transmission delivers uncompressed video free of lag. Another touted benefit is that, unlike IP networked cameras, analog systems provide a more secure video transmission. With so much sensitive information housed on a businesses’ network, adding another point of network access through an IP camera can create concerns for cyber security risks. HD over Coax delivers an unlimited amount of HD images in real time, with smooth motion and impressive clarity Preventing Network Hacking With HD over Coax, the physical connections between the camera and DVR prevent network hacking. By keeping the video surveillance system offline, security professionals are able to direct their attention to the physical threats at hand, rather than having to focus on deterring cyber security risks. One of the primary difficulties of deploying HD video solutions is the fact that many older systems utilize a wide variety of HD standards and platforms. To make matters more complicated, after HD over Coax was brought to market, manufacturers raced to create their own version of this technology. Today, the most popular proprietary standards are HD-CVI, HD-TVI and AHD. However, integrators and customers found that attempting to manage multiple HD technologies proved to be near impossible.Integrators and customers found that attempting to manage multiple HD technologies proved to be near impossible Diversifying Surveillance Through One DVR To combat these issues, manufacturers have introduced products with more flexibility to their portfolios. One example of this is the penta-brid DVR which grants the ability to seamlessly integrate multiple technologies deployed across one application. This means that systems with diverse camera brands and technologies, such as a mix of HD-CVI, HD-TVI, AHD, analog or IP, can be connected through one DVR. For many end users with legacy analog systems, penta-brid DVRs give them greater freedom to choose between a variety of solutions, rather than being limited to one option. With video resolution increasing, the space needed to store the footage is similarly rising. Penta-brid technology has been able to adapt to these evolving needs, giving users ample storage space to house the HD and 4K surveillance video with some of the newest models including H.265 compression. HD Casino Surveillance Made Simple For casinos, HD images are critical for identifying unauthorized personnel and unlawful behaviours to create a safe environment for guests and staff While HD over Coax is beneficial to many end users and integrators, those in the casino and hospitality markets find it crucial. With a combination of high profile guests, large amounts of cash on hand, constant crowds and strict industry regulations, reliable video surveillance is a must. Deploying new IP systems comes at a stiff price. When looking to upgrade their video surveillance, casinos must also be mindful of the installation process. When moving to an IP-based system, ripping out old wires and replacing them with new is the standard practice. This practice can be both disruptive and costly, not to mention gaming regulations require casino activities be monitored at all times so a complete system shutdown would result in revenue loss. This cost can be hard to justify, especially when the current legacy analog system remains in working condition with only the lower image resolution to date it. For these scenarios, the most cost-effective option is to leverage the legacy infrastructure, replace the existing cameras with new devices, and reap the benefits that HD video has to offer without any lapse in security. For casinos, HD images are critical for identifying unauthorized personnel and unlawful behaviours to create a safe environment for guests and staff. HD over Coax cameras now offer the same resolution as IP cameras with a plug and play approach, that cuts down on expense without sacrificing quality. For businesses and applications that are unable to adopt IP technology, whether it be cost or time prohibitive, HD over Coax now features most of the same benefits IP has to offer without breaking the bank. By providing clear images in real time, maximizing existing infrastructure, and affording cyber security benefits, HD over Coax provides an attractive solution for many end users and integrators.
Today ‘terrorism’ has become a word we use and hear every day. The goal of terrorism is a media product - information delivered to nearly every house in the world. So, the weapon of terrorism is information. Therefore, the way we defend and prevent terrorism must also be based on intelligent processing of information - and an early awareness of potential threats and effective preventive action may eliminate most attacks. Video analytics, automated surveillance and AI decision-making are going to change the rules of the struggle between civilians and terrorists by making attempted attacks predictable, senseless and silent. In this article, we will evaluate to what extent technology can investigate and prevent terror crimes considering the latest technology innovations. Civilian Feedback Helps Terrorists To Accomplish Mission In order to achieve their main goal - loud media response - terrorists and those who order the attacks use unpredictable tactics and the element of surprise; so that after every attack, the media discusses for months the circumstances and their insanity. Terrorists and those who order the attacks use unpredictable tactics andthe element of surprise Unfortunately, each time it happens our society seems to be unprepared. As the media environment grows, terror attacks attract more attention, and the feedback of civilians actually helps the terrorists to accomplish their mission. Features Of Terrorist Crimes Counter-terrorist specialists highlight, among the others, the following inherent symptoms of terror crimes: Unpredictability Public visibility Enormous social resonance The question is: Are there technological solutions that could treat these symptoms at a low level? Crime investigations are based on objective indisputable facts that can be used against suspects in a court. The facts are: Video surveillance materials Facial recognition and ANPR metadata Audio data (e.g. phone calls) Internet communication logs Other registered human actions Metadata Sources And Analytical Systems To be able to collect and analyze that data, it needs to be in a data format that an analytical system will be able to process. Metadata can be generated by processing data of the above sources. Metadata can be stored in relational databases or in blockchain, so it can be a reference for an analytical system or law enforcement structures. Automatic or semi-automatic investigation can be based on crime scenarios, behavior patterns, forensic search, face and vehicle recognition and synoptical search Aggregation of metadata sources could be constructive because it would significantly increase metadata availability for analytical systems and will improve metadata quality. This would surely require replacement of most of existing security systems and standardization of new systems so to ensure maximal compatibility of metadata sources and analytical systems. Offline Video Analytics As these improvements are difficult to develop and implement globally, replacement solutions are being offered currently in the security market. One of them is the concept of offline video analytics, which generates and analyses metadata from any video source. Video sources may vary from ‘old school’ analog cameras to high-resolution IP cameras recorded in any digital format. Quality of the metadata generated from offline analytical systems is almost unaffected. High quality metadata can be analyzed and investigated automatically or semi-automatically for violations, crimes and terror activity. Automatic or semi-automatic investigation can be based on crime scenarios, behavior patterns, forensic search, face and vehicle recognition and synoptical search. Fast and effective investigation of terror activities may prevent attacks and also can reduce the number of active terrorists. Human head microvibration is linked with the vestibular-emotional reflex (VER) and depends on emotional status Deep Learning And Neural Network Technologies However, realtime crime and terror prevention requires instant metadata generation and analysis. The investigation instruments mentioned above would not be of the same efficiency. Firstly, processing capabilities of analytical system must be very high because the system should be able to record data, generate metadata and analyze it at the same time in realtime conditions. Currently the most powerful server processors can run only tens of detectors so it becomes very costly. That is why these kinds of solutions are only used in critical infrastructure. However, if they were used widely they would dramatically reduce the number of criminal and terror activities. Deep learning and neural network technologies (so-called artificial intelligence - AI) are coming to the security market to replace classic video analytics. These systems are not yet much more efficient hardware-wise; however, they have greater potential and they are cheaper. Behavior patterns, actions, sounds, speech, faces, car number plates and many other metadata types can be identified and collected and analyzed by AI in realtime. Security surveillance and analytical AI systems could know about each person’s life and social background so it could make automatic decisions Emotion Recognition/Vibraimage Technology Emotion recognition (or vibraimage) technology measures micromovements (vibration) of a person by processing video from a camera or any video source. Human head microvibration is linked with the vestibular-emotional reflex (VER) and depends on emotional status. Vibraimage systems detect human emotions by the control of 3D head-neck movements accumulated in several frames of video processing. Vibraimage is a system that detects all human emotions. Blockchain can bring awareness of different views. Imagine if the security surveillance and analytical AI system knew about each person’s life and social background so it could make automatic decisions to give more surveillance priority to those who potentially could take negative action. Although security equipment is becoming more affordable, the budgeting of security systems at a government and private level is still the biggest problem. As the global population is growing and migration is getting more intense, public and private security is becoming a natural need. Meanwhile, the security market is ready to deliver solutions that can instantly investigate and even prevent terror activities.
Everybody has been hooked on the discussions about Analog HD or IP systems, but shouldn’t we really be thinking about WiFi and 5G connectivity, removing the need for expensive cabling? Are wireless networks secure enough? What is the potential range? Even the basic question about whether or not the network is capable of transferring the huge (and growing) amount of data required for High Res Video, which will soon be quadrupled with the advent of 4K and higher resolutions. The Future Of Video Surveillance Monitors We have seen a massive uptake in 4K monitors in the security industry. While they have been relatively common in the consumer market, they are only now beginning to really take off in the CCTV market, and the advances in Analog HD and IP technology mean that 4K is no longer the limited application technology it was just a few years ago. Relatively easy and inexpensive access to huge amounts of storage space, either on physical storage servers or in the cloud, both of which have their own positives and negatives, have really helped with the adoption of 4K. Having said that the consensus seems to be, at least where displays are concerned, there is very little need for any higher resolution. So, where next for monitors in CCTV? 8K monitors are present, but are currently prohibitively expensive, and content is in short supply (although the Japanese want to broadcast the Tokyo Olympics in 8K in 2020). Do we really need 8K and higher displays in the security industry? In my own opinion, not for anything smaller than 100-150+ inches, as the pictures displayed on a 4K resolution monitor are photo realistic without pixilation on anything I’ve seen in that range of sizes. The consensus seems to be, at least where displays are concerned, there is very little need for any higher resolution Yes, users many want ultra-high resolution video recording in order to capture every minute detail, but I feel there is absolutely no practical application for anything more than 4K displays below around 120”, just as I feel there is no practical application for 4K resolution below 24”. The higher resolution camera images can be zoomed in and viewed perfectly well on FHD and 4K monitors. That means there has to be development in other areas. Developments In WiFi And 5G What we have started to see entering the market are Analog HD and IP RJ45 native input monitors. While you would be forgiven for thinking they are very similar, there are in fact some huge differences. The IP monitors are essentially like All-In-One Android based computers, capable of running various versions of popular VMS software and some with the option to save to onboard memory or external drives and memory cards. These are becoming very popular with new smaller (8-16 camera) IP installs as they basically remove the need for an NVR or dedicated storage server. Developments in the area of WiFi and 5G connectivity are showing great promise of being capable of transferring the amount of data generated meaning the next step in this market would maybe be to incorporate wireless connectivity in the IP monitor and camera setup. This brings its own issues with data security and network reliability, but for small retail or commercial systems where the data isn’t sensitive it represents a very viable option, doing away with both expensive installation of cabling and the need for an NVR. Larger systems would in all likelihood be unable to cope with the sheer amount of data required to be transmitted over the network, and the limited range of current wireless technologies would be incompatible with the scale of such installs, so hard wiring will still be the best option for these for the foreseeable future. There will be a decline in the physical display market as more development goes into Augmented and Virtual Reality Analog HD Options Analog HD options have come a long way in a quite short time, with the latest developments able to support over 4MP (2K resolution), and 4K almost here. This has meant that for older legacy installations the systems can be upgraded with newer AHD/TVI/CVI cameras and monitors while using existing cabling. The main benefit of the monitors with native AHD/TVI/CVI loopthrough connections is their ability to work as a spot monitor a long distance from the DVR/NVR. While co-axial systems seem to be gradually reducing in number there will still be older systems in place that want to take advantage of the benefits of co-axial technology, including network security and transmission range. Analog technologies will eventually become obsolete, but there is still much to recommend them for the next few years. Analogue technologies will eventually become obsolete, but there is still much to recommend them for the next few years Another more niche development is the D2IP monitor, which instead of having IP input has HDMI input and IP output, sending all activity on the screen to the NVR. This is mainly a defense against corporate espionage, fraud and other sensitive actions. While this has limited application those who do need it find it a very useful technology, but it’s very unlikely to become mainstream in the near future. Augmented Reality And Virtual Reality Does the monitor industry as a whole have a future? In the longer term (decades rather than years) there will definitely be a decline in the physical display market as more and more development goes into AR (Augmented Reality or Mixed Reality depending on who’s definition you want to take) and VR (Virtual Reality). Currently AR is limited to devices such as smartphones (think Pokémon Go) and eyewear, such as the ill-fated Google Glass, but in the future, I think we’ll all have optical implants (who doesn’t want to be The Terminator or RoboCop?), allowing us to see whatever we decide we want to as an overlay on the world around us, like a high-tech HUD (Heads Up Display). VR on the other hand is fully immersive, and for playback or monitoring of camera feeds would provide a great solution, but lacks the ability to be truly useful in the outside world the way that AR could be. Something not directly related to the monitor industry, but which has a huge effect on the entire security industry is also the one thing I feel a lot of us have been oblivious to is the introduction of quantum computers, which we really need to get our heads around in the medium to long term. Most current encryption technology will be rendered useless overnight when quantum computers become more widespread. So, where does that leave us? Who will be the most vulnerable? What can we do now to mitigate the potential upheaval? All I can say for sure is that smarter people than me need to be working on that, alongside the development of the quantum computer itself. Newer methods of encryption are going to be needed to deal with the massive jump in processing power that comes with quantum. I’m not saying it will happen this year, but it is definitely on the way and something to be planned for.
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.
Paul Smith brings over 10 years of experience of managing sales teams in the IP video sector IndigoVision is delighted to announce the addition of Paul Smith, as Senior Vice President, United States, to its executive team. Paul, who was previously responsible as Vice President of Sales and Marketing at DVTel, comes with over 10 years experience of managing sales teams in the IP Video sector. "I have known Paul since 2004 and am delighted that he is joining us to lead our American sales team" commented Marcus Kneen, IndigoVision CEO, "Paul brings extensive sales leadership experience in the US market, particularly in our focused sectors. We have high ambitions to grow revenue significantly in the US and by bringing Paul on board, I believe we have the right person to lead the team." Paul Smith added: "I have been following IndigoVision for a number of years and have had high regard for their strong reputation for innovative products. The US market has shown an ever strengthening commitment to IP Video Security and I’m excited to join IndigoVision’s growing team in North America to help capture more of that business". Before joining DVTel, Paul was a founder and Chief Operating Officer of DSET Corporation, a leader in network management development software, and led annual sales revenue from start up to $50m. The addition of Paul to the US team follows on from several new recruits to the IndigoVision Sales and Support team in North America, where the IP Video Security market is expected to grow strongly in the coming years.
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