IndigoVision CCTV Network / IP Cameras(15)
The launch of the BX600 HD Bullet Camera from IndigoVision creates a new, robust outdoor surveillance option with in-built IR illumination. The camera provides a high-resolution, open-standards offering and is highly effective where there is a requirement for an external camera in areas of minimal night-time ambient light. IP66 rated and ONVIF-conformant, the HD Bullet can be installed externally, without the need to be placed within an additional weather-proof housing, and can tolerate a wide range of conditions from -30°C to 50°C (-22°F to 122°F). The camera requires no additional lighting source, as it has built-in IR illumination delivering maximum image quality in low light. The easy to install HD Bullet enables customers to implement high-quality 1080p HD video while benefiting from IndigoVision’s complete solution. Users can view live and recorded video from the camera within Control Center, the user interface to IndigoVision’s Security Management Solution, SMS4™. The cameras can be located anywhere on the network and streamed to numerous clients without the need for a central server. This distributed architecture enables the solution to be easily expanded and eliminates any single point of failure. Alex Swanson, Head of Engineering, commented “The new IndigoVision HD Bullet provides us with a trusted open-standards HD camera suitable for outdoor and low-light use. Designed to work seamlessly with IndigoVision’s SMS4™, the new addition complements the existing camera range providing customers with more choice and flexibility.” The BX600 HD Bullet Camera is a further expansion to IndigoVision’s 1080p BX camera range, which includes BX400 HD Minidomes and Microdomes.Add to Compare
IndigoVision is launching a professional range of High-Definition (HD) IP CCTV cameras to worldwide markets at a number of forthcoming international security shows. The HD 10000 series will complement the company's existing 8000 and 9000 range of True IP Cameras and are designed to work with the IndigoVision integrated end-to-end IP Video solution. Using outstanding H.264 compression technology, an HD 10000 series IP camera will allow high-definition video to be streamed at 15 fps and recorded for 50 days using just 1TB of storage. Updated versions of the HD 10000 range, which allow video streaming at a full 30 fps, will be released shortly. This exceptional compression enables IndigoVision's HD solution to be used on standard networks and storage, bringing the benefits of high-definition video to everyday CCTV surveillance applications. The unique hardware-based compression engine of the HD 10000 series guarantees frames are never dropped. The HD IP cameras can be used alongside IndigoVision's current 4SIF resolution IP cameras, which use MPEG-4 and H.264 compression. This will provide the end-user with a truly flexible solution and a wide spectrum of IP camera price/performance from which to choose.HD versions of all the company's current IP camera range will be rolled-out shortly. These include internal, external and IP66 vandal resistant variants of the fixed and PTZ domes and internal static cameras. Power-over-Ethernet support allows the cameras to be powered directly from the network, simplifying installation and reducing costs. Options include full duplex audio and a range of different housings and fixings for wall or ceiling mounting.Add to Compare
The IndigoVision IP camera range has been boosted with the launch of the enhanced Standard Definition (SD) camera range, including the 9000 range of Fixed and Fixed Dome Cameras, complimenting the existing IndigoVision High Definition (HD) and Megapixel (MP) camera ranges. Traditionally audio may not have been seen as a priority in the CCTV sector and as a result most IP cameras use outdated audio encoding technologies such as G.711 and G.728 compression. These technologies deliver poor quality audio, especially when picking up sounds other than the human voice, such as breaking glass. However, a new breed of security professionals in the industry are taking a different approach to audio, demanding high quality audio in their CCTV projects. "People often think of audio in the security industry as being a niche application.” stated Alex Swanson, IndigoVision’s Head of Engineering. “Before, most applications for audio were in a police custody type environment but we’re seeing rising CCTV markets, such as Australia and Brazil, using audio more creatively. We’ve had a number of cities in Latin America using the IndigoVision solution as part of “help points” located around the city, where citizens can simply press a button to have instant two-way communication with the central monitoring location. Because the audio in our cameras use Advanced Audio Coding (AAC), it means that you can hear much more than the human voice - gunshots, breaking glass or even footsteps. By adding this functionality into more of our IP cameras, it means we’re now meeting the demands of these markets and making it even easier for remote viewing and communication."In addition to audio, the IndigoVision SD camera range has had significant video performance improvements resulting in further enhanced video quality and significant storage cost reduction.Add to Compare
1/3 inch, 720 resolution, Network, 0.9 lux, Auto Iris, Direct Drive, 24V AC//DC, Motion Activated, 2.8 ~ 8, ceiling, wall, Wide Dynamic Range, 30 fps, Back Light Compensation, Auto Gain Control, White Balance, 0.45, 1/1 ~ 1/10,000, 45, Internal, NTSC, PAL, H.264, 11W, 500, 175 x 88 x 45, 0 ~ +40Add to Compare
1/3 inch, True Day / Night, 1 MP resolution, Digital (DSP), Megapixel, 0.035 lux, Auto Iris, Direct Drive, 24 V DC, CS mount, Motion Activated, 3.1 ~ 8, Wide Dynamic Range, 1280 x 720, 25 fps, Back Light Compensation, Auto Gain Control, White Balance, 1/2 ~ 1/100,000, > 39, PAL, H.264, 10/100 Base-T Ethernet, TCP, UDP, RDP, ICMP, IGMP, SNMP, HTTP, HTTPS, SMS4™ r1/Control Center v11.0 or later, 6 W, 500, 178 x 88 x 47, 0 ~ 50 C (32 ~ 122 F), HDAdd to Compare
1/3 inch, True Day / Night, 1 MP resolution, Digital (DSP), Megapixel, 0.035 lux, Auto Iris, Direct Drive, 24 V DC, CS mount, Motion Activated, 12.5 ~ 50, Wide Dynamic Range, 1280 x 720, 25 fps, Back Light Compensation, Auto Gain Control, White Balance, 1/2 ~ 1/100,000, > 39, PAL, H.264, 10/100 Base-T Ethernet, TCP, UDP, RDP, ICMP, IGMP, SNMP, HTTP, HTTPS, SMS4™ r1/Control Center v11.0 or late, 6 W, 500, 178 x 88 x 47, 0 ~ 50 C (32 ~ 122 F), HDAdd to Compare
1/3 inch, True Day / Night, 2 MP resolution, Digital (DSP), Megapixel, 0.02 lux, Auto Iris, Direct Drive, 12 V DC, 24 V AC, Motion Activated, 3 ~ 9, Wide Dynamic Range, 1920 x 1080, 25 fps, Inclusion DVR/ Web Server, Back Light Compensation, Auto Gain Control, White Balance, 1 ~ 1/10000 sec, > 50, PAL, Zoom, PAL composite video, 75 Ohms 1V p-p, BNC connector, H.264/MJPEG, 10/100 Base-T Ethernet, TCP, UDP, RTP, RTSP, ICMP, IGMP, SNMP, HTTP, HTTPS, PPPoE, uPnP, QoS, DHCP, SMS4™ r5/Control Center v11.0 or later, 6 W, 360, 177 x 80 x 53, 0 ~ 50 C (32 ~ 122 F), HDAdd to Compare
1/3 inch, True Day / Night, 2 MP resolution, Digital (DSP), Megapixel, 0.02 lux, Auto Iris, Direct Drive, 12 V DC, 24 V AC, Motion Activated, 4.7 ~ 84.6, Wide Dynamic Range, 1920 x 1080, 25 fps, Inclusion DVR/ Web Server, Back Light Compensation, Auto Gain Control, White Balance, 1 ~ 1/10000 sec, > 50, PAL, Zoom, PAL composite video, 75 Ohms 1V p-p, BNC connector, H.264, MJPEG, 10/100 Base-T Ethernet, TCP, UDP, RTP, RTSP, ICMP, IGMP, SNMP, HTTP, HTTPS, PPPoE, uPnP, QoS, DHCP, SMS4™ r5/Control Center v11.0 or later, 6 W, 360, 200 x 81 x 53, 0 ~ 50 C (32 ~ 122 F), HDAdd to Compare
1/3 inch, True Day / Night, 5 MP resolution, Digital (DSP), Megapixel, 0.02 lux, Auto Iris, Direct Drive, 12 V DC, 24 V AC, Motion Activated, 3.6 ~ 9, Wide Dynamic Range, 2592 x 1944, 25 fps, Inclusion DVR/ Web Server, Back Light Compensation, Auto Gain Control, White Balance, 1 ~ 1/10000 sec, > 37, PAL, Zoom, PAL composite video, 75 Ohms 1V p-p, BNC cable harness, H.264, MJPEG, 10/100 Base-T Ethernet, TCP, UDP, RTP, RTSP, ICMP, IGMP, SNMP, HTTP, HTTPS, PPPoE, uPnP, QoS, DHCP, SMS4™ r7/Control Center v11.0 or later, 5.5 W, 940, 88 x 193 , IP66, 0 ~ 50 C (32 ~ 122 F)Add to Compare
1/3 inch, True Day / Night, 5 MP resolution, Digital (DSP), Megapixel, 0.02 lux, Auto Iris, Direct Drive, 12 V DC, CS mount, Motion Activated, 3.5 ~ 10, Wide Dynamic Range, 2592 x 1944, 25 fps, Inclusion DVR/ Web Server, Back Light Compensation, Auto Gain Control, White Balance, 1 ~ 1/10000 sec, > 37, PAL, PAL composite video, 75 Ohms 1V p-p, BNC connector, H.264, MJPEG, 10/100 Base-T Ethernet, TCP, UDP, RTP, RTSP, ICMP, IGMP, SNMP, HTTP, HTTPS, PPPoE, uPnP, QoS, DHCP, SMS4™ r7/Control Center v11.0 or later, 6 W, 330, 125 x 82 x 53, 0 ~ 50 C (32 ~ 122 F)Add to Compare
1/4 inch, Colour / Monochrome, 540 resolution, Infrared, 0.05 lux, Auto Iris, Direct Drive, 24V AC/DC, CS mount, 5 ~ 50, Wall, Ceiling, 752 x 582, 25/30 fps, Back Light Compensation, Auto Gain Control, White Balance, 0.45, 1/50 ~ 1/100,000, Internal, PAL, NTSC, 1 Vp-p, 75 Ohms, MPEG-4, H.264, 10/100 Base-T Etherne, TCP, UDP, ICMP, IGMP, SNMP, HTTP, 8 W, 500, 175 x 88 x 45, 0 ~ 40Add to Compare
Colour, 20 MP resolution, Digital (DSP), Megapixel, 0.01 lux, 12 V DC, Motion Activated, 5120 x 3840, 25 fps, Auto Gain Control, White Balance, H.264, 10/100 Base-T Ethernet, TCP, UDP, ICMP, HTTP, DHCP, Control Center v11.1 or later, 2.1 A, 1,700, 96 x 117 x 105, 0 ~ 50 C (32 ~ 122 F)Add to Compare
Colour, 20 MP resolution, Digital (DSP), Megapixel, 0.01 lux, 100 ~ 240 V AC, Motion Activated, Wall, 5120 x 3840, 25 fps, Auto Gain Control, White Balance, H.264, 10/100 Base-T Ethernet, TCP, UDP, ICMP, HTTP, DHCP, Control Center v11.1 or later, 1.4 A, 10,900, 736 x 280 x 246, IP67, -20 ~ +50 C (-4 ~ +122 F)Add to Compare
1/3 inch, True Day / Night, 5 MP resolution, Digital (DSP), Megapixel, 0.02 lux, Auto Iris, Direct Drive, 12 V DC, CS mount, Motion Activated, 9 ~ 40, Wide Dynamic Range, 2592 x 1944, 25 fps, Inclusion DVR/ Web Server, Back Light Compensation, Auto Gain Control, White Balance, 1 ~ 1/10000 sec, > 37, PAL, PAL composite video, 75 Ohms 1V p-p, BNC connector, H.264, MJPEG, 10/100 Base-T Ethernet, TCP, UDP, RTP, RTSP, ICMP, IGMP, SNMP, HTTP, HTTPS, PPPoE, uPnP, QoS, DHCP, SMS4™ r7/Control Center v11.0 or later, 6 W, 330, 125 x 82 x 53, 0 ~ 50 C (32 ~ 122 F)Add to Compare
1/3 inch, Colour / Monochrome, 2 lux, Auto Iris, Direct Drive, 24 V AC/DC, CS mount, 5 ~ 50, Wall, Ceiling, Back Light Compensation, Auto Gain Control, White Balance, 0.45, 1/12.5 ~ 1/100,000, >45, Internal, PAL, NTSC, MPEG-4, 10/100 Base-T Ethernet, TCP, UDP, ICMP, IGMP, SNMP, HTTP, 8 W, 500, 175 x 88 x 45, 0 ~ 40Add to Compare
Browse CCTV Network / IP Cameras
IP camera products updated recently
Where are video surveillance cameras headed? At the core of next-generation Internet Protocol (IP) cameras are advanced chips with artificial intelligence (AI) at the edge, enabling cameras to gather valuable information about an incident: scanning shoppers at a department store, monitoring city streets, or checking on an elderly loved one at home. Thanks to advanced chip technology, complex analytics operations are becoming more affordable across the full spectrum of surveillance cameras —professional to consumer — fueling the democratisation of AI in the IP camera market. Complex analytics operations are becoming more affordable across the full spectrum of surveillance cameras Expanding the global IP camera market The video surveillance equipment market grew to $18.5 billion in 2018 and is expected to increase this year, according to IHS Markit. The latest research points to video everywhere, edge computing, and AI as the top technologies that will have a major impact in both commercial and consumer markets in 2019. Computing at the edge means that the processors inside the camera are powerful enough to run AI processing locally, while still encoding and streaming video, and are able to do it all at the low-power required to fit into the limited thermal budget of an IP camera. New SoC chips will be able to perform all of the processing on camera and provide accurate AI information, with no need to send data to a server or the cloud for processing. Instead, data can be analysed right in the camera itself, offering high performance, real-time video analytics, and lower latency — all critical aspects of video surveillance. This new AI paradigm is made possible by a new generation of SoCs, a key driver behind the market growth of IP cameras. Complex analytics operations are becoming more affordable across the full spectrum of surveillance cameras to fuel the advent of AI in the IP camera market Micro-processor-enabled video analytics Next-generation video cameras will be able to create heat maps of stores to see where people spend the most time Microprocessor-enabled analytics allow users to more easily extract valuable data from video streams. How about an insider’s view into retail customer behavior? Consider video cameras at a department store, monitoring shoppers’ behavior, traffic patterns, and areas of interest. Next-generation cameras will recognise how long a shopper stays in front of a specific display, if the shopper leaves and returns, and if the shopper ultimately makes a purchase. Next-generation video cameras will be able to create heat maps of stores to see where people spend the most time, so retailers will be able to adjust product placement accordingly. Analytics will also help identify busy/quiet times of the day, so retailers can staff accordingly. By understanding customers’ behavior, retailers can determine the best way to interact with them, target specific campaigns, and tailor ads for them. Cue the coupons while the shopper is still onsite! Analytics will also help identify busy/quiet times of the day, so retailers can staff accordingly Fast processing for rapid response at city level City surveillance and smart cities are depending on advanced video surveillance and intelligence to keep an eye on people and vehicles, identify criminals, flag suspicious behavior, and identify potentially dangerous situations such as loitering, big crowds forming, or cars driving the wrong way.Quick local decisions on the video cameras are also used to help analyse traffic situations Quick local decisions on the video cameras are also used to help analyse traffic situations, adjust traffic lights, identify license plates, automatically charge cars for parking, find a missing car across a city, or create live and accurate traffic maps. Real-time HD video monitoring and recording When it comes to home monitoring, what will next-generation video surveillance cameras offer? Real-time monitoring and notification can detect if a person is in the back yard or approaching the door, if there’s a suspicious vehicle in the driveway, or if a package is being delivered (or stolen). Advanced video cameras can determine when notifications are and aren’t required, since users don’t want to be notified for false alerts such as rain, tree branches moving, bugs, etc. Next-generation video camera capabilities can also help monitor a loved one, person or pet, helping put families at ease if they are at work or on vacation. For example, helpful analytics may be used to detect if someone has fallen, hasn’t moved for a while, or does not appear for breakfast according to their typical schedule. City surveillance and smart cities are depending on advanced video surveillance and intelligence to keep an eye on people and vehicles, identify criminals, flag suspicious behavior, and identify potentially dangerous situations Next-gen IP cameras When evaluating next-generation IP cameras (cameras on the edge), look at the brains. These cameras will likely be powered by next-generation SoCs chips. Here is what this means to you: Save on network bandwidth, cloud computing and storage costs. There is no need to constantly upload videos to a server for analysis. Analysis can be performed locally on the camera, with only relevant videos being uploaded. Faster reaction time. Decisions are made locally, with no network latency. This is critical if you need to sound an alarm on a specific event. Privacy. In the most extreme cases, no video needs to leave the camera. Only metadata needs to be sent to the cloud or server. For example, the faces of people can be recognised in the camera and acted upon, but the video never reaches the cloud. The cameras can just stream a description of the scene to the server “suspicious person with a red sweater walking in front of the train station, has been loitering for the last 10 minutes, suggest sending an agent to check it out.” This could become a requirement in some EU countries with GDPR rules. Easier search. Instead of having to look through hours of video content, the server can just store/analyse the metadata, and easily perform searches such as “find all people with a red sweater who stayed more than five minutes in front of the train station today.” Flexibility/personalisation. Each camera at the edge can be personalised to work better for the specific scene it is looking at, compared to a generic server. For example, “run a heat map algorithm on camera A (retail) as I want to know which sections of my store get the most traffic; and run a license plate recogniser on camera B (parking lot) as I want to be able to track the cars going in/out of my parking lot.” No cloud computing required. For cameras in remote locations or with limited network bandwidth, users have the ability to perform all analytics locally, without relying on uploading video to a server/cloud. Higher resolution/quality. When AI processing is performed locally, the full resolution of the sensor can be used (up to 4K or more), while typically the video streamed to a server will be lower resolution, 1080p or less. This means more pixels are available locally for the AI engine so that you will be able to detect a face from a higher distance than when the video is streamed off camera. AI at the edge Professional-level IP cameras capable of performing AI at the edge are coming soon with early offerings making their debut at this year’s ISC West. As we enter 2020, we will begin to see the availability of consumer-level cameras enabling real-time video analytics at the edge for home use. With rapid technology advancement and increased customer demand, AI is on the verge of exploding. When it comes to image quality and video analytics, IP cameras now in development will create a next-generation impact at department stores, above city streets, and keeping an eye on our loved ones.
Las Vegas is a city that bombards you with choices: dozens of glitzy hotels and casinos, a plethora of restaurants and eateries to satisfy any craving and an endless variety of entertainment guaranteed to delight and amuse. With so many options, it’s hard to decide where to spend your time. The same goes for ISC West. Like the city in which it’s being hosted, ISC West 2019 is going to bombard you with more options than ever before. Dozens of new technologies and vendors as well as old familiar faces will be vying for your attention. With only three days, it’s nearly impossible to explore every booth and every vendor. Ultimately, you’ll want to focus your limited time on companies whose partnership can lead to your organisation’s long-term success. In that context, I’d like to suggest a few things to think about as you wend your way through this year’s tradeshow. The next wave in IP technology The fact that the whole world is going IP is nothing new. The network-based connectivity trend has been ongoing for more than 25 years. What’s changed is the nomenclature. Today it’s all about the Internet of Things (IoT). What was once exclusively an analogue-based video surveillance market has shifted predominantly over to IP For the security industry, the concept of IoT really began with connecting DVRs through a network. Then in 1996, IP cameras – the first true IoT devices – hit the market. Since then, what was once exclusively an analog-based video surveillance market has shifted predominantly over to IP, providing exceptional growth opportunity for any company wanting to be on the leading edge. Today, however, that market is relatively saturated and growing at a much slower rate. In response, consolidation of the market has started to accelerate. Many vendors are disappearing while a select few are becoming stronger. Though the IP video revolution is now a fait accompli, there are still a few ancillary security technologies that are just beginning to jump on the IP convergence bandwagon. I’m referring to two in particular: IP audio systems and IP intercom solutions. Like their IP video cousins, these relatively new IP systems are built on open platform standards and provide the same benefits for convergence as happened in the camera space: better scalability and ROI, more functionality, and easy integration with third party systems. The technology is a great complement to a customer’s existing IP surveillance system or an ideal replacement for an antiquated analogue audio system. So I’d recommend spending time at booths showcasing this technology. Listen to the crystal clear sound quality. Learn from the various vendors how easy IP audio systems are to custom configure, remotely manage and scale. And discover the different ways the IP technology can be used, from paging, public address and broadcasting background music to augmenting security systems and perimeter protection solutions. The potential markets that can benefit from this latest IP technology are wide and varied, everything from hotels, hospitals and transportation hubs to educational institutions and retail chains. So it’s well worth your time to take a look at this growing opportunity. AI has proven to dramatically improving the accuracy of Traffic Incident Detection analytics. But it’s too early in the game to assume that AI can be applied across the board Artificial intelligence: hype vs. reality Video intelligence or video analytics was the big trend a decade ago. But it quickly fizzled out when hype crashed into reality. In the ensuing years algorithms have greatly improved, leading to more reliable analytic performance. Now it’s commonplace for video surveillance solutions to include a wide range of analytics from motion detection and people counting to dwell time analysis, object left behind and license plate recognition. The latest hype to capture the imagination is self-learning systems, often referred to as Deep Learning and Artificial intelligence (AI) With analytics gradually becoming mainstream, the latest hype to capture the imagination is self-learning systems, often referred to as Deep Learning and Artificial intelligence (AI). These self-learning applications parse event data and use what they’ve learned from the experience to make determinations or predictions that can increase the accuracy of future alerts. Before you get swept up in all the big promises that have yet to prove deliverable, take time at ISC West to educate yourself about the current state of the technology. AI works well in some areas. For instance, AI has proven to dramatically improving the accuracy of Traffic Incident Detection analytics. But it’s too early in the game to assume that AI can be applied across the board. Talk to some of the AI vendors at ISC West to learn when and if AI might be right for your organisation’s analytic applications. See who has actual, field-proven solutions and who is just offering ideas that might take many years to prove useful in real applications. Connecting with the right partner Think of ISC West as the ultimate meet-and-greet. Look around the tradeshow floor and see who might by likely partners Choosing the right partner is as important in business as it is life. Think of ISC West as the ultimate meet-and-greet. Look around the tradeshow floor and see who might by likely partners. You’re sure to find a number of new companies entering the field this year. Also be sure to notice which companies are absent. Have they left the surveillance industry? Are they struggling financially and can no longer afford to show up? If you partnered with them in the past, where does that leave your business today? As you explore potential vendor relationships, make sure you not only look at the arc of their technology development, but also their long-term financial stability and the kind of support services they offer. Cybersecurity should be front and center on your radar, along with timely updates, product integration with your existing technology and ongoing training to gain the most benefit from your investment. Look into how eco-friendly the vendor’s products are, what they’re doing to recycle, minimise waste and lower their carbon footprint Think of ISC West as the ultimate meet-and-greet - look around the tradeshow floor and see who might by likely partners Another important thing to find out is whether their business ethics align with yours. Is sustainability important to your company? How about corporate social responsibility, diversity and inclusion? Ultimately you want to do business with healthy, innovative companies that share your core values. If being green is a fundamental principal of your company, look into how eco-friendly the vendor’s products are, what they’re doing to recycle, minimise waste and lower their carbon footprint. If striving for better global citizenship is your corporate mantra, you need to know how the vendor is assuring their operation complies with environmental laws and regulations. In terms of maintaining social and ethical standards, it’s important to know where the vendor stands on issues such as human rights violations, compulsory child labour, fair wages and sourcing minerals from countries in armed conflict. Go in with a plan There’s so much to discover at ISC West this year that four days isn’t nearly enough time to see it all. So you’ll have to strategically pick and choose which booths and vendors to visit. I’d advise that you plan out your days in advance so that you can get the most value from the choices you make.
There’s almost no installation that goes 100-percent smoothly in the field of video surveillance. Unexpected issues routinely arise that can increase time on the job, cost of the project and frustration. Manufacturers work on the product side to help ensure their products are easy to install and – when troublesome situations do arise – are flexible enough for installers to quickly find a remedy. Importance of ease of installation Ease of installation is a very important part of the project to the system integrator because the cost of labour is variable Ease of installation is a very important part of the project to the system integrator because the cost of labour is variable and can be very expensive. In some cases, the cost of labour to install a camera can be more than the cost of the camera! If labour costs are high – or are more expensive than a system integrator planned – they can lose a great deal of money on a project. If a cautious system integrator includes too high of an estimate for labour in a project bid, his overall bid will to high and it could cost him the project. The easier the camera is to install, the lower the labour cost, subsequently achieving higher savings for end-users. Hence it is essential that camera manufacturers develop products that are easy to install or are flexible in the field for system integrators and installers who know that time is money. Enterprise projects can involve thousands of cameras installed Simplifying installation of cameras Camera installation typically involves an electrician, the camera installer and the person who configures the VMS (Video Management Software). Of course, one person can play all three roles, and in many cases, does, but enterprise projects can involve dozens, hundreds or even thousands of cameras with teams of individuals involved in an installation. The electrician runs conduit with an electrical or PoE (Power over Ethernet) connection to the housing or the backplate of the camera; the installer then installs the camera at that location, hooking it up to power; and then a configurator adds cameras to the network and makes adjustments – renaming the camera, setting the frame rate, enabling WDR (Wide Dynamic Range), and the like. When it’s a project that involves different players for any of these functions, there is the potential for a bottleneck and delay in project completion. And if a system integrator is paying an electrician, installer and software configurator – and they are all three on site waiting for each other to finish – that’s a system integrator’s worst-case scenario. Enhancement through modular cameras Video surveillance camera manufacturers like Hanwha Techwin are producing products that take different roles Video surveillance camera manufacturers like Hanwha Techwin are producing products that take the different roles of electrician, installer and configurator into consideration, allowing them to complete their tasks independently. With a focus on modular design which includes a USB dongle, a device manager, magnetic module and included accessories, the Wisenet X series Plus is one of the fastest cameras to install, service and upgrade – saving installers time and money. Wisenet X series Plus cameras have a detachable camera module that utilise magnets to lock into the housing for instant configuration. Electricians can run conduit with a single PoE connection to the back plate/housing while the configurator is working on configuring the camera module, allowing security professionals to later snap the camera into place in just minutes. The VMS configurator can then come and add the cameras to the network and program their functionality. Modular cameras offer flexibility In the past, an end user might determine after the camera is installed that there aren’t enough pixels on target, or they need certain different functions like video analytics for example, resulting in the time-consuming replacement of the entire camera. With modular-designed cameras, the camera module can be swapped with a new one without having to focus or replace the camera – even to change the resolution or field of view, also Wisenet X series Plus has optional PTRZ modules that can be remotely adjusted to the field of view and the position of the camera lens. Making camera adjustments in the field is also now easier and perhaps even safer. Installers have been known to climb a ladder and juggle a bulky laptop to access the network to be able to see video of how the camera is positioned. Or they’ve had to use analogue video output to view the video feed on a separate monitor which provides the field of view, but not megapixel quality. Using a smartphone, the installer can wirelessly see full and not cropped quality video directly from the camera Wisenet X series Plus cameras have a USB port that allows installers to connect it to a small dongle that converts the camera to a Wi-Fi device. Using a smartphone, the installer can wirelessly see full and not cropped quality video directly from the camera. It’s a much easier way to evaluate video while at the camera. Eliminating the second person looking at live view on a computer guiding through a cellphone to the installer to accurately point the camera to the proper position. If system integrators can do some of the legwork prior to even getting on site, it can reduce cost and improve efficiency. Imagine having 300 cameras ready to send to a project site. To configure those cameras, a system integrator has to take each camera out of the box, plug each into a switch, configure it, take it off of the switch and put it back in the box. To improve this process, camera manufacturers have now developed packaging that provides access to the camera port without even having to remove it from the box. It’s an innovative solution that saves time. Modular cameras have optional PTRZ modules that can be remotely adjusted to the field of view Software programs help in enhancing installation Whether it’s a one-man show or a team of electricians, installers and configurators, software programs can greatly enhance the installation process. Device managers are important tools in adding multiple cameras to a project. Using that 300-camera project, for example, it’s easier when a manufacturer has a device manager that allows the mass programming and configuration of cameras. Adding 300 cameras one by one is time consuming and leaves room for error when making so many multiple entries. A device manager should be able to scan the network and locate its devices, allowing them to be grouped, configured and much more. Every video surveillance camera project is going to have its ups and downs. But camera manufacturers can do their part in the production process to address the many issues known to slow down progress. It’s impressive that many are taking the lead in producing innovations like modular camera design, flexibility in the field and accessible packaging that can truly reduce installation cost and improve efficiency.
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 centralised cloud computing and even coins the phrase, “Cloud computing, decentralised” 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 utilising 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 utilising 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.
Customers of IndigoVision will now be able to access advanced facial recognition technology following the announcement of a new partnership with AnyVision. The new partnership will see AnyVision’s renowned Better Tomorrow software being integrated with IndigoVision’s Control Center, its innovative security management solution. Trusted by customers around the world for over 25 years, IndigoVision is committed to keeping customers at the forefront of security innovations and the new integration with Tel Aviv-based AnyVision is a powerful new addition to its portfolio of cutting-edge solutions. The new integration will see data records from AnyVision’s facial recognition functionality being seamlessly sent into Control Center, enabling the fast and accurate identification of missing or wanted persons, even in large crowds. AI-based person recognition software Pedro Simoes, Chief Executive of IndigoVision, said: “Our goal is to help our customers utilise and enjoy the benefits of the very latest security innovations and so we’re delighted to be working with AnyVision which is at the forefront of self-learning AI-based person recognition software. “Ideal for government, police, casino and airport sites, their facial recognition software overcomes challenges around poor light conditions and different angles of view to deliver incredible accuracy and detection rates for our customers.” “IndigoVision and AnyVision share a partnership built on true innovation in the security sector,” said Eylon Etshtein, CEO of AnyVision. “We value both their position and reputation in the marketplace and look forward to creating solutions that will bring about a better tomorrow.”
Security innovator IndigoVision is set to introduce a range of new features that will lead to faster security investigations and drive down industry storage costs as part of its presence at ISC West 2019 in Las Vegas. Trusted in installations across the world, and with 25 years of experience in developing complete end-to-end security surveillance solutions, IndigoVision’s latest innovations will be unveiled as part of an array of new features being introduced to Control Center, its intuitive Security Management Solution. Faster security investigations Focusing on advanced analytics, cyber-security and ease of use, Control Center v16.0 will offer operators a powerful new line-up of features to help combat security threats. Faster security investigations – users will be able to save time and instantly zero in on specific events with the introduction of timeline preview, which provides a thumbnail of the recorded video timeline. Lower storage costs – users will benefit from improved compression and longer retention times thanks to Control Center’s support for the latest video compression standard, H.265. Reduced eyestrain for users – Control Center v16.0 now adds to its core grey/white view with a new Dark Mode, which has been specifically designed to reduce eyestrain in darker control room environments. Deliver enhanced performance Operators will also be able to access next level detection and cyber-security Appearing at booth 23031 from 10th to the 12th April, IndigoVision will add to its Ultra and BX camera ranges with the introduction of an exciting new line-up which offers users multiple form factors, low light sensitivity, augmented analytics and wide dynamic range (WDR) giving operators improved image clarity. The new HD Ultra X Cameras will deliver enhanced performance through the company’s ground breaking SMART.core and CyberVigilant in-camera technology which give users the ability to detect and respond quickly to potential cyber-threats. NDAA compliance also means these cameras are pre-approved for installation in government sites within the United States and other areas of the world where this legislation has been adopted. Operators will also be able to access next level detection and cyber-security with IndigoVision further expanding its advanced Analytics Metadata and its award-winning CyberVigilant technology to select cameras from its BX Camera range. The BX420 4K Minidome, BX430 4MP Microdome and BX630 HD/4K Bullet and Fixed Cameras will now have an enhanced intruder detection enabling Control Center to safeguard against an increased range of threats.
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