IndigoVision CCTV Network / IP Cameras (17)
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, CS mount, 24 V DC, 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, CS mount, 24 V DC, 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, CS mount, 12 V DC, 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, CS mount, 24V AC/DC, 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, 96 x 117 x 105, 1,700, 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, 736 x 280 x 246, 10,900, 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, CS mount, 12 V DC, 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, CS mount, 24 V AC/DC, 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
1/3 inch, True Day / Night, 1920 x 1080 resolution, Digital (DSP), Network, 0 ~ 0.02 lux, Auto Iris, Direct Drive, 12 V DC, 6 ~ 50, Wide Dynamic Range, 1920 x 1080, 30 fps, Back Light Compensation, Auto Gain Control, White Balance, 1/3 ~ 1/32,000 s, Zoom, H.265, H.264, MJPEG, IEEE802.3 and IETF standards: 10/100 Base-T Ethernet, IPv4, TCP, UDP, RTP, RTSP, ICMP, IGMP, SNMP, HTTP, HTTPS, DHCP, 9.1 W, 272 x 98 x 102, 1,100, IP66, IK10, -40 ~ 50 C (-40 ~ 122 F), Internet Explorer v11.0 or above, HDAdd to Compare
1/3 inch, True Day / Night, 1920 x 1080 resolution, Digital (DSP), Network, 0 ~ 0.02 lux, Auto Iris, Direct Drive, 12 V DC, 2.8 ~ 12, Wide Dynamic Range, 1920 x 1080, 30 fps, Back Light Compensation, Auto Gain Control, White Balance, 1/3 ~ 1/32,000 s, Zoom, H.265, H.264, MJPEG, IEEE802.3 and IETF standards: 10/100 Base-T Ethernet, IPv4, TCP, UDP, RTP, RTSP, ICMP, IGMP, SNMP, HTTP, HTTPS, DHCP, 9.1 W, 272 x 98 x 102, 1,100, IP66, IK10, -40 ~ 50 C (-40 ~ 122 F), Internet Explorer v11.0 or above, HDAdd to Compare
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Enclosures containing electronics, communications or cabling infrastructure offer a simple attack point for cyber breaches and an opportunity for a physical attack on the hardware. Yet, many of these assets are housed within enclosures that provide minimal security features to offer a deterrent to any would-be attacker. This has always just been a pet hate. Walking down the high street of a town anywhere in the United Kingdom, you can often see open street communication cabinets. You can actually look directly inside at the equipment. And if I was a bad guy, I could quite easily just put my foot into their enclosure and quite quickly take out their infrastructure. Charged service for enclosures This seems crazy when a US$ 2 magnetic contact on a door can quickly tell you whether your enclosure is open or shut, and can be vital in keeping your network alive. Moreover, the operators of these systems, whether it is telecoms or internet providers, are providing a charged service to their customers, so they should really be protecting their enclosures. Why has that security level not been so readily taken into the outside world, into the unprotected environment? More sobering, if you contrast this security approach to the approach taken in the data centre world, an environment that already has multiple stringent security protocols in place, you get a very different picture. For instance, security devices can capture snapshots of anyone who opens a cabinet door in a data room, so it is recorded who has opened that door. While that is just one simple example, it begs the question. Why has that security level not been so readily taken into the outside world, into the unprotected environment? In my mind, a lot of it boils down simply to education. Network connection, easy point of cyber attacks Our preconceived idea about cyber security is some big corporation being knocked out or held to ransom by, again in our mind, someone sitting at a laptop, probably with their hood up over their head, typing away in the darkness, attacking us through the internet. But how the would-be criminal is going to come at us is just like in sport. They attack at the weakest point. Networks can be deployed in the outside world in many ways, such as cameras monitoring the highways. That means those locations will have a network connection. And that can be a point of attack in a non-secure outside world. Enclosures can be broken into by attackers Many people think, ‘That is okay because I’m going to take that ethernet device that my cameras are connected to and I’m going to put it inside an enclosure.’ However, what people do not realize is that the only thing that the enclosure is doing is protecting the ethernet device from Mother Nature. Because, without proper security, those enclosures can be broken into pretty easily. Many of them are just a single key that is not in any way coded to the device. Twofold cyber security People need to realise that cyber security is twofold. It can be carried out by hacking the network or physically breaking Therein lays the problem. People need to realise that cyber security is twofold. It can be carried out by hacking the network or physically breaking into the weakest physical point. And so, a simple boot through the open door of an enclosure can vandalise the devices inside and take down a small or large part of a network. And by definition, this meets the criteria for a cyber-attack. So, how do we go about tackling this problem? Well, security is a reaction marketplace. And for enclosures, there’s not, at present, a plethora of solutions out there for to counter these types of attacks. It can be challenging to find what you’re looking for through a quick Google search compared to searching for more traditional security protection measures. Deploying smart sensors and detectors But, under Vanderbilt and ComNet, we are currently taking our knowledge and experience from system installation and compiling it together. We’re bringing different products from different parts of our business to make a true solution. For instance, we have sensors for enclosures that detect anything from gas or smoke to open doors, detectors that will tell you if someone is trying to smash open your enclosure with a sledgehammer, or that someone is trying to lift your enclosure off of its mount. More importantly, as is not really a one-size-fits-all solution, we have developed a menu structure available that allows customers to pick and choose the ones that will best fit their own requirements.
While the application of facial recognition within both public and private spheres continues to draw criticism from those who see it as a threat to civil rights, this technology has become extremely commonplace in the lives of iPhone users. It is so prevalent, in fact, that by 2024 it is predicted that 90% of smartphones will use biometric facial recognition hardware. CCTV surveillance cameras Similarly, CCTV is a well-established security measure that many of us are familiar with, whether through spotting images displayed on screens in shops, hotels and offices, or noticing cameras on the side of buildings. It is therefore necessary we ask the question of why, when facial recognition is integrated with security surveillance technology, does it become such a source of contention? It is not uncommon for concerns to be voiced against innovation. History has taught us that it is human nature to fear the unknown, especially if it seems that it may change life as we know it. Yet technology is an ever-changing, progressive part of the 21st century and it is important we start to shift the narrative away from privacy threats, to the force for good that LFR (Live Facial Recognition) represents. Live Facial Recognition (LFR) We understand the arguments from those that fear the ethics of AI and the data collection within facial recognition Across recent weeks, we have seen pleas from UK organisations to allow better police access to facial recognition technology in order to fight crime. In the US, there are reports that LAPD is the latest police force to be properly regulating its use of facial recognition to aid criminal investigations, which is certainly a step in the right direction. While it is understandable that society fears technology that they do not yet understand, this lack of knowledge is exactly why the narrative needs to shift. We understand the arguments from those that fear the ethics of AI and the data collection within facial recognition, we respect these anxieties. However, it is time to level the playing field of the facial recognition debate and communicate the plethora of benefits it offers society. Facial recognition technology - A force for good Facial recognition technology has already reached such a level of maturity and sophistication that there are huge opportunities for it to be leveraged as a force for good in real-world scenarios. As well as making society safer and more secure, I would go as far to say that LFR is able to save lives. One usage that could have a dramatic effect on reducing stress in people with mental conditions is the ability for facial recognition to identify those with Alzheimer’s. If an older individual is seemingly confused, lost or distressed, cameras could alert local medical centres or police stations of their identity, condition and where they need to go (a home address or a next of kin contact). Granted, this usage would be one that does incorporate a fair bit of personal data, although this information would only be gathered with consent from each individual. Vulnerable people could volunteer their personal data to local watchlists in order to ensure their safety when out in society, as well as to allow quicker resolutions of typically stressful situations. Tracking and finding missing persons Another possibility for real world positives to be drawn from facial recognition is to leverage the technology to help track or find missing persons, a lost child for instance. The most advanced forms of LFR in the market are now able to recognise individuals even if up to 50% of their face is covered and from challenging or oblique angles. Therefore, there is a significant opportunity not only to return people home safely, more quickly, but also reduce police hours spent on analysing CCTV footage. Rapid scanning of images Facial recognition technology can rapidly scan images for a potential match Facial recognition technology can rapidly scan images for a potential match, as a more reliable and less time-consuming option than the human alternative. Freed-up officers could also then work more proactively on the ground, patrolling their local areas and increasing community safety and security twofold. It is important to understand that these facial recognition solutions should not be applied to every criminal case, and the technology must be used responsibly. However, these opportunities to use LFR as force for good are undeniable. Debunking the myths One of the central concerns around LFR is the breach of privacy that is associated with ‘watchlists’. There is a common misconception, however, that the data of every individual that passes a camera is processed and then stored. The reality is that watch lists are compiled with focus on known criminals, while the general public can continue life as normal. The very best facial recognition will effectively view a stream of blurred faces, until it detects one that it has been programmed to recognise. For example, an individual that has previously shoplifted from a local supermarket may have their biometric data stored, so when they return to that location the employees are alerted to a risk of further crimes being committed. Considering that the cost of crime prevention to retailers in recent years has been around £1 billion, which therefore impacts consumer prices and employee wages, security measures to tackle this issue are very much in the public interest. Most importantly, the average citizen has no need to fear being ‘followed’ by LFR cameras. If data is stored, it is for a maximum of 0.6 seconds before being deleted. Privacy Privacy is ingrained in facial recognition solutions, yet it seems the debate often ignores this side of the story Privacy is ingrained in facial recognition solutions, yet it seems the debate often ignores this side of the story. It is essential we spend more time and effort communicating exactly why watchlists are made, who they are made for and how they are being used, if we want to de-bunk myths and change the narrative. As science and technology professionals, heading up this exciting innovation, we must put transparency and accountability at the centre of what we do. Tony Porter, former Surveillance Camera Commissioner and current CPO at Corsight AI, has previously worked on developing processes that audit and review watch lists. Such restrictions are imperative in order for AI and LFR to be used legally, as well as ethically and responsibly. Biometrics, mask detection and contactless payments Nevertheless, the risks do not outweigh the benefits. Facial recognition should and can be used for good in so many more ways than listed above, including biometric, contactless payments, detecting whether an individual is wearing a facemask and is therefore, safe to enter a building, identifying a domestic abuse perpetrator returning to the scene of a crime and alerting police. There are even opportunities for good that we have not thought of yet. It is therefore not only a waste not to use this technology where we can, prioritising making society a safer place, it is immoral to stand by and let crimes continue while we have effective, reliable mitigation solutions.
Urban populations are expanding rapidly around the globe, with an expected growth of 1.56 billion by 2040. As the number of people living and working in cities continues to grow, the ability to keep everyone safe is an increasing challenge. However, technology companies are developing products and solutions with these futuristic cities in mind, as the reality is closer than you may think. Solutions that can help to watch over public places and share data insights with city workers and officials are increasingly enabling smart cities to improve the experience and safety of the people who reside there. Rising scope of 5G, AI, IoT and the Cloud The main foundations that underpin smart cities are 5G, Artificial Intelligence (AI), and the Internet of Things (IoT) and the Cloud. Each is equally important, and together, these technologies enable city officials to gather and analyse more detailed insights than ever before. For public safety in particular, having IoT and cloud systems in place will be one of the biggest factors to improving the quality of life for citizens. Smart cities have come a long way in the last few decades, but to truly make a smart city safe, real-time situational awareness and cross-agency collaboration are key areas which must be developed as a priority. Innovative surveillance cameras with integrated IoT Public places need to be safe, whether that is an open park, shopping centre, or the main roads through towns Public places need to be safe, whether that is an open park, shopping centre, or the main roads through towns. From dangerous drivers to terrorist attacks, petty crime on the streets to high profile bank robberies, innovative surveillance cameras with integrated IoT and cloud technologies can go some way to helping respond quickly to, and in some cases even prevent, the most serious incidents. Many existing safety systems in cities rely on aging and in some places legacy technology, such as video surveillance cameras. Many of these also use on-premises systems rather than utilising the benefits of the cloud. Smart programming to deliver greater insights These issues, though not creating a major problem today, do make it more challenging for governments and councils to update their security. Changing every camera in a city is a huge undertaking, but in turn, doing so would enable all cameras to be connected to the cloud, and provide more detailed information which can be analysed by smart programming to deliver greater insights. The physical technologies that are currently present in most urban areas lack the intelligent connectivity, interoperability and integration interfaces that smart cities need. Adopting digital technologies isn’t a luxury, but a necessity. Smart surveillance systems It enables teams to gather data from multiple sources throughout the city in real-time, and be alerted to incidents as soon as they occur. Increased connectivity and collaboration ensures that all teams that need to be aware of a situation are informed instantly. For example, a smart surveillance system can identify when a road accident has occurred. It can not only alert the nearest ambulance to attend the scene, but also the local police force to dispatch officers. An advanced system that can implement road diversions could also close roads around the incident immediately and divert traffic to other routes, keeping everyone moving and avoiding a build-up of vehicles. This is just one example: without digital systems, analysing patterns of vehicle movements to address congestion issues could be compromised, as would the ability to build real-time crime maps and deploy data analytics which make predictive policing and more effective crowd management possible. Cloud-based technologies Cloud-based technologies provide the interoperability, scalability and automation Cloud-based technologies provide the interoperability, scalability and automation that is needed to overcome the limitations of traditional security systems. Using these, smart cities can develop a fully open systems architecture that delivers interoperation with both local and other remote open systems. The intelligence of cloud systems can not only continue to allow for greater insights as technology develops over time, but it can do so with minimal additional infrastructure investment. Smart surveillance in the real world Mexico City has a population of almost 9 million people, but if you include the whole metropolitan area, this number rises sharply to over 21 million in total, making it one of the largest cities on the planet. Seven years ago, the city first introduced its Safe City initiative, and ever since has been developing newer and smarter ways to keep its citizens safe. In particular, its cloud-based security initiative is making a huge impact. Over the past three years, Mexico City has installed 58,000 new video surveillance cameras throughout the city, in public spaces and on transport, all of which are connected to the City’s C5 (Command, Control, Computers, Communications and Citizen Contact) facility. Smart Cities operations The solution enables officers as well as the general public to upload videos via a mobile app to share information quickly, fixed, body-worn and vehicle cameras can also be integrated to provide exceptional insight into the city’s operations. The cloud-based platform can easily be upgraded to include the latest technology innovations such as licence plate reading, behavioural analysis software, video analytics and facial recognition software, which will all continue to bring down crime rates and boost response times to incidents. The right cloud approach Making the shift to cloud-based systems enables smart cities to eliminate dependence on fibre-optic connectivity and take advantage of a variety of Internet and wireless connectivity options that can significantly reduce application and communication infrastructure costs. Smart cities need to be effective in years to come, not just in the present day, or else officials have missed one of the key aspects of a truly smart city. System designers must build technology foundations now that can be easily adapted in the future to support new infrastructure as it becomes available. Open system architecture An open system architecture will also be vital for smart cities to enhance their operations For example, this could include opting for a true cloud application that can support cloud-managed local devices and automate their management. An open system architecture will also be vital for smart cities to enhance their operations and deliver additional value-add services to citizens as greater capabilities become possible in the years to come. The advances today in cloud and IoT technologies are rapid, and city officials and authorities have more options now to develop their smart cities than ever before and crucially, to use these innovations to improve public safety. New safety features Though implementing these cloud-based systems now requires investment, as new safety features are designed, there will be lower costs and challenges associated with introducing these because the basic infrastructure will already exist. Whether that’s gunshot detection or enabling the sharing of video infrastructure and data across multiple agencies in real time, smart video surveillance on cloud-based systems can bring a wealth of the new opportunities.
The COVID-19 global pandemic had a life-changing impact on all of us in 2020, including a multi-faceted jolt on the physical security industry. With the benefit of hindsight, we can now see more clearly the exact nature and extent of that impact. And it’s not over yet: The pandemic will continue to be top-of-mind in 2021. We asked this week’s Expert Panel Roundtable: What have been the positive and negative effects of Covid-19 on the physical security industry in 2020? What impact will it have on 2021?
Consolidation continued in the physical security marketplace in the turbulent year 2020. There were several mega-deals in addition to shuffling among small and medium-sized companies. Here is a sampling of M&A from this year, compiled from our archive of company news. With the changing economic climate, how much more is ahead in 2021? Stay tuned. Wesco merges with Anixter WESCO International, Inc., a provider of business-to-business (B2B) distribution, logistics services and supply chain solutions, announced it completed its merger with Anixter International Inc., creating a premier, global B2B distribution and supply chain solutions company. Anixter becomes a wholly owned subsidiary of WESCO International. ACRE acquires Razberi ACRE acquired Razberi Technologies, Farmers Branch, Texas, and the product line of intelligent video appliances, automated security software and health monitoring software will be added to and sold under the ComNet brand and portfolio of products. ComNet will now be selling Razberi products through its established channels. Motorola acquires IndigoVision Among the benefits is enhanced geographical reach across a wider customer base Motorola Solutions says the IndigoVision range of products, global presence and customer base are ‘highly complementary’ to Motorola Solutions' existing presence in video security. Among the benefits is enhanced geographical reach across a wider customer base. Motorola acquires Pelco “Pelco’s track record of innovation, internationally recognised brand, global channel and customer installed base enable us to further expand our global footprint with enterprise and public safety customers,” said Greg Brown, Motorola Solutions’ Chairman and CEO, about the iconic brand. Johnson Controls swallows Qolsys Qolsys Inc., residential and commercial security and smart-home manufacturer, enhances Johnson Controls global innovation platform, delivering next generation security and smart building solutions. JCI had already owned a majority stake in the company since 2014. ADT and Google Home partnership The partnership will combine Nest’s award-winning hardware and services, powered by Google’s machine learning technology, with ADT’s installation, service and professional monitoring network to create a more helpful smart home and integrated experience for customers across the United States. Upon the closing of Google’s equity investment in ADT, Google will own 6.6% of ADT’s outstanding aggregate common equity. Securitas acquires STANLEY in Five Countries The acquisition is aligned with Securitas’ ambition to double the size of its security solutions Securitas acquired STANLEY Security’s electronic security businesses in Germany, Portugal, Switzerland, Singapore and India. The acquisition is aligned with Securitas’ ambition to double the size of its security solutions and electronic security business and expands Securitas’ electronic security footprint and capabilities. Allied Universal to Buy G4S Ending the year on a high note, the boards of directors managing Allied Universal and G4S reached an agreement on the terms of a recommended cash offer. The deal brings to a close a six-month bidding war for G4S. The combined business is expected to generate approximately $18 billion in annual revenues with a global workforce of more than 750,000 people in 85 countries. Quantum acquires Western Digital business line Quantum Corporation entered into an agreement with Western Digital Technologies, Inc., a subsidiary of Western Digital Corp., to acquire its ActiveScale object storage business. The acquisition demonstrates Quantum’s commitment to innovation and growth, extending the company’s leadership role in storing and managing video and unstructured data using a software-defined approach. AVA/Vaion/Jazz Networks Ava, a unified security company, announced the completion of the merger between Jazz Networks, renowned cyber security insider threat detection and response firm; and Vaion, an end-to-end video security solutions provider. Ava is now positioned to deliver unified cyber and physical security solutions to organisations worldwide.
Facial recognition is the latest technology to be targeted because of concerns about privacy. If such concerns cloud the public perception, they can be harmful to technology markets. Whether the concerns are genuine or based on misinformation is often beside the point; the practical damage has already been done. But beyond market demand, what is the impact of privacy concerns on technology innovation? We asked this week’s Expert Panel Roundtable: Are privacy concerns stifling innovation in security and related markets?
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