IndigoVision Video Servers (IP Transmission) / Video Encoders

Critical infrastructure facilities that must secure large areas with extended outer boundary and numerous entry points, present a particularly difficult challenge when it comes to perimeter protection. As such, true end-to-end perimeter protection calls for the utilization of a sophisticated, multi-layered solution that is capable of defending against anticipated threats. Integrated systems that incorporate thermal imaging, visible cameras, radar and strong command and control software are crucial for covering the various potential areas of attacks. Let’s look at these technologies and the five key functions they enable to achieve an end-to-end solution that provides intrusion detection, assessment and defense for the perimeter. 1. Threat Recognition The first step in effectively defending against a threat is recognizing that it’s there. By combining state-of-the-art intrusion detection technologies, facilities can arm themselves with a head start against possible intruders. An exceptionally important aspect of effective perimeter protection is the ability to conduct 24-hour surveillance, regardless of weather conditions, environmental settings, or time of day. Visible cameras do not perform as well in low light scenarios and inclement weather conditions. However, thermal imaging cameras can provide constant protection against potential intruders, regardless of visual limitations, light source or many environmental factors. In fact, facilities such as power stations located near bodies of water can use thermal cameras to create what is known as a “thermal virtual fence” in areas where they are unable to utilize the protection of a physical fence or wall. Deterring suspicious activity can be achieved through real-time two-way audio, a simple but powerful tool Critical infrastructure applications require not only continuous video surveillance and monitoring, but also a solution that yields highly reliable intrusion detection, with fewer false alarms. This need makes advanced video analytics a must for any adequate surveillance system. Features like dynamic event detection and simplified data presentation are game changing in supporting accurate intrusion analysis and facilitating a proactive response. Advanced analytics will provide multiple automated alarm notification options, including email, edge image storage, digital outputs or video management software (VMS) alarms. Incorporating high quality, unique and adaptive analytics can virtually eliminate false alarms, allowing security personnel to respond more efficiently and effectively, while also lowering overall cost for the end user. While surveillance technologies such as radar, thermal imaging and visible cameras, or video analytics work well on their own, utilizing all of these options together provides an advanced perimeter detection system. For example, ground surveillance radar can detect possible threats beyond the fence line as they approach and send a signal to pan-tilt-zoom (PTZ) cameras, triggering them to slew to a specific location. From there, embedded analytics and visible cameras can further identify objects, notify authorized staff, and collect additional evidence through facial recognition or high-quality photos. 2. Automatic Response Systems Once an intrusion attempt is discovered, it is important to act fast. Organizing a response system that can initiate actions based on GPS location data, such as the slewing of PTZ cameras, automated intruder tracking or activated lighting sensors, greatly increases staff’s situational awareness while easing their workload. For instance, thermal imagers deployed in conjunction with video analytics can be used to generate an initial alarm event, which can then trigger a sequence of other security equipment and notifications for personnel to eventually respond to. Having all of this in place essentially lays the entire situation out in a way that allows responders to accurately understand and evaluate a scene. Power stations located near bodies of water can use thermal cameras to create a “thermal virtual fence” in areas where they are unable to utilize the protection of a physical fence or wall 3. Deterring Suspicious Activity  After the designated auto-response mechanisms have activated and done their job, it is time for responders to acknowledge and assess the situation. From here, authorized personnel can take the next appropriate step toward defending against and delaying the threat. Deterring suspicious activity can be achieved through real-time two-way audio, a simple but powerful tool. Often, control room operators can diffuse a situation by speaking over an intercom, telling the trespasser that they are being watched and that the authorities have been notified. This tactic, known as ‘talk down’, also allows officers to view the intruder’s reaction to their commands and evaluate what they feel the best next step is. If individuals do not respond in a desired manner, it may be time to take more serious action and dispatch a patrolman to the area. 4. Delay, Defend, Dispatch And Handle The possible danger has been identified, recognized and evaluated. Now it is time to effectively defend against current attacks and slow down both cyber and physical perpetrators’ prospective efforts. Through the use of a well-designed, open platform VMS, security monitors can manage edge devices and other complementary intrusion detection and response technologies, including acoustic sensors, video analytics, access control and radio dispatch. A robust VMS also enables operators to control functions such as video replay, geographical information systems tracking, email alerts and hand-off to law enforcement. With the right combination of technologies, facilities can take monitoring and evidence collection to the next level The primary purpose of the delay facet of the overall perimeter protection strategy is to stall an attempted intrusion long enough for responders to act. Access control systems play a key role in realizing this objective. When a security officer sees a non-compliant, suspicious individual on the camera feed, the officer can lock all possible exits to trap them in one area all through the VMS. 5. Intelligence: Collect Evidence And Debrief More data and intelligence collected from an event equals more crucial evidence for crime resolution and valuable insight for protecting against future incidents. With the right combination of technologies, facilities can take monitoring and evidence collection to the next level. One innovative resource that has become available is a live streaming application that can be uploaded to smart phones and used for off-site surveillance. This app gives personnel the power to follow intruders with live video anywhere and allows operators to monitor alarm video in real-time. Geographic Information System (GIS) maps are computer systems utilized for capturing, storing, reviewing, and displaying location related data. Capable of displaying various types of data on one map, this system enables users to see, analyze, easily and efficiently. Multi-sensor cameras, possessing both visible and thermal capabilities, provide high-contrast imaging for superb analytic detection (in any light) and High Definition video for evidence such as facial ID or license plate capture. Integrating these two, usually separated, camera types into one helps to fill any gaps that either may normally have. Still, in order to capture and store all of this valuable information and more, a robust, VMS is required. Recorded video, still images and audio clips serve as valuable evidence in the event that a trial must take place to press charges. Control room operators can use data collection tools within their VMS to safely transfer video evidence from the field to the courtroom with just a few clicks of their mouse. More advanced video management systems can go a step further and package this data with other pertinent evidence to create a comprehensive report to help ensure conviction.

For those of you old enough to remember, video matrix switchers were once the heyday of surveillance camera control. These cumbersome antiques were at the heart of every major video surveillance system (video surveillance at the time) in premier gaming properties, government installations and corporate industrial complexes. They required more physical labor to construct and configure than perhaps the pyramids – maybe not – but you get the picture. And then digital video made its way in to the market and everything changed, transforming the physical demands for camera control and management from a hardware-centric to a software driven process. We’ve come a long way in a few short years, and the borders that once defined IT and security continue to diminish, if not disappear completely There’s no doubt that this migration also presented significant challenges as many security professionals often struggled with all things IT and software programming being one of the industry’s soft spots. Fortunately, we’ve come a long way in a few short years, and the borders that once defined IT and security continue to diminish, if not disappear completely. However, the complexities of today’s VMS functionality can be intimidating for anyone tasked with installing one of these systems given all of the user-defined options available from the simplest camera sequencing and bandwidth allocations to mobile management and enterprise level integration. This is where truly advanced VMS solutions need to shine on both the operations and the design/build sides of the equation. Smart VMS Design There are more solutions products labelled “VMS solutions” out there than ever before. The issue is the fact that many of these “solutions” really don’t fall into the category of a true VMS by today’s standards but offer basic camera and NVR control. No doubt that there is a place for such software programs in the market. However, VMS solutions from the likes of OnSSI and other industry-leading companies offer distinct and superior management and control capabilities for demanding security and business intelligence applications. Perhaps of equal importance, these top-tier VMS solutions incorporate provisions for installers, so they have a clear and easier implementation path. OnSSI offers VMS solutions with smart camera drivers Here are seven attributes that can assist with the design and implementation of an advanced VMS solution: 1) Open Architecture Platform We need the ability to easily integrate with other systems and scale for future developments and physical system growth  The ability to easily integrate with other systems and scale for future developments and physical system growth is largely dependent on a systems platform architecture. Here’s where VMS solutions with open architecture provide a distinct advantage. Open-architecture solutions expand functionality by facilitating greater integration between multiple systems and components. This not only makes VMS solutions with open architecture easier to implement, it makes them extremely cost-efficient by eliminating the need for proprietary solutions. Open architecture systems also provide adherence to industry standards such as ONVIF and PSIA, as well as compression formats such as H.265 and MJPEG, and help ensure system integration and support of an extensive range of manufacturers’ cameras and off-the-shelf hardware. Be wary of VMS solutions with limited camera manufacturer support. 2) Simple Licensing Processes And Pricing Camera licenses and pricing is always a touchy subject, as any misunderstanding of a specific VMS solutions’ licensing terms can prove to be costly after the fact. And it often seems that some VMS suppliers have gone to great lengths to complicate the process as to obscure actual Total Cost of Ownership (TCO). Perhaps the most direct, simple and straightforward camera licensing and pricing method is to have one license per IP address used by each camera/encoder on multi-channel devices. These should be perpetual licenses with no required annual fees or subscriptions. Additionally, the licensing agreement should be all inclusive without added fees for multiple clients, failover servers, active directory support, I/O devices, redundant management servers, technical support or security patches and updates. 3) Mixing And Matching Camera License Types The ability to mix and match different camera license types within the same system helps facilitate a seamless and simple migration of new and pre-existing systems with minimal downtime or interruption in operation. The ability to mix and match camera licenses not only saves valuable design and installation time, it can provide considerable savings when integrating large, multi-tenant systems. Mix and match capabilities also allow system designers to apply specific feature sets to specific groups of cameras to best leverage functionality and budgets, as well as providing the flexibility to implement an on-site, virtual, or cloud-based VMS solution, without any additional cost. 4) Auto Camera Detection And Configuration Another VMS set-up feature that eases the install process is the ability to forego device registrations or MAC address requirements Another VMS set-up feature that eases the install process is the ability to forego device registrations or MAC address requirements. This functionality allows installers to instantly locate cameras on the network and configure them centrally so they can easily replace older cameras while seamlessly retaining video recorded from them. The auto detection capability should also include the ability to detect and import CSV files, which can then be stored and used to configure camera templates for future camera installation profiles. 5) Smart Camera Driver Technology VMS solutions with smart camera drivers offer valuable assistance during system implementation, and any time new cameras are added to the network or replace older models. Manufacturer-specific smart camera drivers expand the range of model-specific static drivers. Instead of storing the device’s information (codecs, resolutions, frame rates, etc.) statically, a VMS with smart camera drivers queries devices for their capabilities using the manufacturers’ proprietary protocol. All that is required for configuration is that the camera is available on the network. Smart camera drivers eliminate the need to wait for model-specific drivers or installation of driver packs, allowing for newly released cameras to be used immediately. Network security is an area where leading VMS suppliers like OnSSI have ramped up development efforts to stay ahead of hackers  6) Importance Of Network Security Network Security is perhaps the greatest challenge faced by industry professionals today Network security is perhaps the greatest challenge faced by industry professionals today. This is an area where leading VMS suppliers like OnSSI have ramped up development efforts to stay ahead of hackers. New security developments to look for include TLS 1.2 encryption protocols for camera-to-server communications (SSL 3.0 supported for older cameras), as well as server-to-server communications. Additional safeguards to consider include: randomized video databases with no camera identification information to secure recorded data; support for Active Directory authentication; AES encryption between servers and clients; and AES encrypted exporting. 7) Automatic Updates Regardless of the supplier you select for your VMS solution, they should be consistently providing new updates and security patches on a frequent if not regular basis. Keeping up with these updates can be a burden and are often overlooked leading to system failures and breeches. Advanced VMS solutions now feature automatic update service checks on a system-wide basis, eliminating the need to manually update individual servers and devices. This ensures that your VMS system always has the latest drivers, fixes and updates which assures overall security while reducing TCO. So next time you’re getting a demo of the latest and greatest VMS solution, remember to ask what it offers in terms of design and implementation tools. Half the battle with new technologies is getting them installed and working properly. Without the right tools to accomplish these critical first steps, all the functionality in the world will do you little good.

It amazes me how in a few short years security systems have gone from simple, dumb cameras witnessing events to intelligent eyes, ears, speech and touch solutions that boost situational awareness far beyond human capabilities. It seems the only senses missing from the equation now are smell and taste. And who knows, someone might be working on those in a lab somewhere right now. But what’s really fascinating to me is how the Internet of Things (IoT) has opened a world of possibilities for transforming security technology into something new yet again. With IoT we’re able to push and pull nuggets of intelligence from sources we never considered before: environmental sensors, pressure plates, door lock timers and much more. It’s helped us break through the constraining mindset that security systems are strictly single-purpose. With interconnectivity at the core, we’re starting to imagine myriad ways to apply these tools to challenges outside the realm of security. Here are just a few examples. Flood Management Assistance Network camera adds another dimension and timeliness to flood management by helping responders investigate remotely As recent hurricanes and floods have shown, water damage can be devastating to a community. That’s why some municipalities are using their city surveillance cameras in conjunction with water sensor to proactively address the problem. Water sensors collect data from multiple sources such as rain gutters, sewer systems and pump stations, in order to monitor fluctuations in water levels and water quality. If an alert triggers, having a network camera in proximity to visually verify the situation helps responders determine the best course of action. For instance, if multiple water detection sensors trigger alerts simultaneously or sequentially over a large area it’s probably due to natural runoff from recent rainfall. But without eyes on the scene, how can you be sure? Network camera adds another dimension and timeliness to flood management by helping responders investigate and identify the cause of a trigger remotely. It might be a fire hydrant spewing water, a water main break or even a chemical spill. With video streaming live to the command center, staff can remotely inspect the area, determine the cause of the trigger and decide whether remediation is required, thus avoiding the expense of dispatching an investigative crew to a non-event. Some municipalities are using their city surveillance cameras in conjunction with water sensor to proactively address the problem Environmental Control Assistance Data centers house the lifeblood of a business so it’s no wonder why companies work hard to protect them. We’re all familiar with the integration of network cameras with access control systems to visually verify who is actually using the credentials. Network camera adds another dimension and timeliness to flood management by helping responders investigate and identify the cause of a trigger remotely But there’s another aspect to protecting data centers and that’s environment control. Data centers need to maintain optimum humidity and temperature for the racks of electronics. When environmental sensors in the facility detect out-of-norm ranges technicians can remotely command a network camera to zoom in on the gauges and help them determine whether remediation might be necessary. Coupling network cameras with other sensors in the data center can provide visual confirmation of other conditions as well. For instance, every time a data rack door-open-close sensor detects an event it can trigger the camera to pan to the location and stream video to security. Some data centers employ weight sensors at the doorway to weigh personnel and equipment as they enter the room and when they exit to ensure no additional hardware is being taken out of the facility or left inside without permission. Any discrepancy would trigger the camera to zoom in for a close-up of the individual’s face and send a visual alert and ID information to security. Roadway Management And Parking Assistance Network cameras have long played a part in city-wide traffic management. Adding video analytics and integration with network sensors, makes those cameras that much smarter and versatile. They can detect cars driving in bike lanes or driving in the wrong direction and capture license plates of offenders. Their ability to detect anomalous traffic flow patterns can be integrated with car counting sensors, networked electronic road signs and traffic light systems to automatically redirect vehicles to alternate routes. They make great, intelligent parking lot attendants, too. Working in conjunction with weight sensors network cameras can count vehicles coming into and leaving a lot or garage and verify when the facility has reached capacity. License plate recognition and video analytics can be used to ascertain that a vehicle entering a reserved parking space doesn’t match the credentials and vehicle attributes in the database. With the addition of noise sensors and audio analytics, network cameras can improve roadway and parking facility safety by detecting and identifying specific sounds – breaking glass, car alarms, gun shots, and aggressive speech – and triggering a visual alert to first responders. Network cameras can improve roadway and parking facility safety by detecting and identifying specific sounds and triggering a visual alert to first responders Shopper Experience Assistance In the early days of online shopping, e-tailers designed their sites to replicate the in-store customer experience. In an ironic turn of events, today brick-and-mortar stores are trying to mirror the online shopping experience. To do so, they’re turning their security systems into adjunct sales assistance. With network video and audio system automation they can recognize and acknowledge loyal customers with personal greetings. Retailers are applying people counting video analytics to checkout activity to create rules-based consistency in customer service With heatmapping analytics they can measure how much time a customer spends in a specific department or observe how they walk through the aisles of the store. They can track shopping behaviors such as items looked at that made it into the cart or didn’t, or whether a customer actually checked out or left the merchandise behind. By capturing these shopping patterns and trends retailers can shape a more positive, more profitable customer shopping experience. For instance, integrating video analytics with point of sale systems and RFID sensors on merchandise tags can result in timely alerts to sales associates to recommend additional merchandise. This is a case of emulating how e-tailers let the customer know that other customers who bought X often also purchased items Y and Z. Or to avoid disappointing customers due to stock outages, retailers are linking weight sensors and video analytics to make sure their shelves are well-stocked and if not, quickly alert associates to what items need to be restocked. Capturing Business Intelligence Retailers are also using video cameras to monitor checkout queues and trigger automated announcements over the public-address system, closed system such as smartphones or other wireless communications devices that checkers are needed rather wait for a person to call for backup. IoT laid the groundwork for network security solutions to seamlessly integrate with other IP-based technologies, sensors and programs They’re applying people counting video analytics to checkout activity to create rules-based consistency in customer service. While retailers will always use their surveillance camera for loss prevention, they’re finding that integrating traditional technology in new ways can yield even bigger returns. Linking network video surveillance, video analytics, network communications system and sensors with point-of-sale systems and customer loyalty databases, retailers are capturing the business intelligence they need to get back in the game and make brick-and-mortar a greater overall experience than online shopping. A Natural Cross-Over Technology This trend towards integration has forever changed how organizations view their investment in security technology. The intelligence and versatility of a tool that can see, verify and analyze what’s happening in real-time is spurring users to tap its cross-over potential for a host of other tasks that could benefit from more astute situational awareness – everything from manufacturing and equipment maintenance to logistics, inventory control and beyond. IoT laid the groundwork for network security solutions to seamlessly integrate with other IP-based technologies, sensors and programs. How we capitalize on that connection is only limited by our imagination.

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.