IndigoVision 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
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, 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
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
1/4 inch, Colour / Monochrome, 490 resolution, Network, 0.5 lux, Auto Iris, Direct Drive, CS mount, 24V AC/DC, 3 ~ 8, ceiling, wall, 25/30 fps, Back Light Compensation, Auto Gain Control, White Balance, 0.45, 1/60 ~ 1/100,000, 32, Internal, NTSC, PAL, 1 V pp, H.264, 8 W, 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, 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
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, 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
1/3 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
1/4 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
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Today’s environment has evolved into something that according to some may seem unexplainable. But in the context of video surveillance, this is something that we understand. Allow me to shed some light and understanding in terms of security and why it truly is a necessity. Security is not a luxury, it is a necessity. An essential practice now peaking the interests of all businesses small and large. A video surveillance system is a cost effective option that does not require monitoring fees. As business slows, temporarily shuts down or closes, an increase in vacant properties is inevitable. This pandemic will continue to put severe pressure on many businesses around the country. With so many considered non-essential, it is really sad to see how many must shutter their doors and lay off employees. Keeping an eye out for suspicious activity using a commercial grade surveillance system that supports advanced analytics, may end up saving your potential customers thousands of dollars down the road. Demand for video surveillance and security products We can certainly draw on the conclusion that security is a “need” more so than a “want”. Times like this just further cement that thought process. In today’s economic spiral, people aren’t actively looking for lighting controls or home theaters. What they look for is a way to keep their loved ones safe, protect their homes, businesses and property. Video surveillance technology provides added security for you, your family and your business In my opinion, you will see video surveillance and security product sales skyrocket in the coming months and years. It has been reported that response times for first responders may be impacted as a result of COVID-19, leaving those with bad intent more time to ransack a property knowing that law enforcement may be slow to respond. Criminals will always take advantage of the situation. All we can do as a community is use common sense, stay vigilant through these odd times and watch out for one another. For some of us that may mean mitigating risks with technology. Affordable video monitoring solutions Having a solution that can quickly and securely share video footage may be the difference between identifying a perpetrator and becoming a victim. Ella, a video search platform developed by IC Realtime, makes every second of video instantly searchable and shareable, either with the authorities or your neighborhood social apps. Plus it is compatible with any RTSP streaming device. To wrap this up, it’s not about pointing out the obvious, it’s really about bringing awareness as to how technologies can be implemented to provide peace of mind without breaking the bank. Video surveillance technology is a way to do that and provide added security for you, your family and your business.
The safeguarding of premises through the monitoring of entrance and exit points has traditionally been a very manual aspect of security. Human operators have been relied on to make decisions about who to admit and deny based on levels of authorization and the appropriate credentials. The access control business, like many industries before it, is undergoing its own digital transformation But the access control business, like many industries before it, is undergoing its own digital transformation; one where the protection of premises, assets and people is increasingly delivered by interconnected systems utilising IoT devices and cloud infrastructure to offer greater levels of security and protection. Modern access control solutions range from simple card readers to two factor authentication systems using video surveillance as a secondary means of identification, right through to complex networks of thermal cameras, audio speakers and sensors. These systems, connected through the cloud, can be customized and scaled to meet the precise requirements of today’s customer. And it’s the ease of cloud integration, combined with open technologies and platforms that is encouraging increasing collaboration and exciting developments while rendering legacy systems largely unfit for purpose. Remote management and advanced diagnostics Cloud technology and IoT connectivity means remote management and advanced diagnostics form an integral part of every security solution.Cloud technology and IoT connectivity means remote management and advanced diagnostics form an integral part of every security solution. For example, as the world faces an unprecedented challenge and the COVID-19 pandemic continues to cause disruption, the ability to monitor and manage access to sites remotely is a welcome advantage for security teams who might otherwise have to check premises in person and risk breaking social distancing regulations. The benefits of not physically having to be on site extend to the locations within which these technologies can be utilised. As an example, within a critical infrastructure energy project, access can be granted remotely for maintenance on hard to reach locations. Advanced diagnostics can also play a part in such a scenario. When access control is integrated with video surveillance and IP audio, real-time monitoring of access points can identify possible trespassers with automated audio messages used to deter illegal access and making any dangers clear. And with video surveillance in the mix, high quality footage can be provided to authorities with real-time evidence of a crime in progress. Comprehensive protection in retail The use of connected technologies for advanced protection extends to many forward-looking applications. Within the retail industry, autonomous, cashier-less stores are already growing in popularity. Customers are able to use mobile technology to self-scan their chosen products and make payments, all from using a dedicated app. From an access control and security perspective, connected doors can be controlled to protect staff and monitor shopper movement. Remote management includes tasks such as rolling out firmware updates or restarting door controllers, with push notifications sent immediately to security personnel in the event of a breach or a door left open. Remote monitoring access control in storage In the storage facility space, this too can now be entirely run through the cloud with remote monitoring of access control and surveillance providing a secure and streamlined service. There is much to gain from automating the customer journey, where storage lockers are selected online and, following payment, customers are granted access. Through an app the customer can share their access with others, check event logs, and activate notifications. With traditional padlocks the sharing of access is not as practical, and it’s not easy for managers to keep a record of storage locker access. Online doors and locks enable monitoring capabilities and heightened security for both operators and customers. The elimination of manual tasks, in both scenarios, represents cost savings. When doors are connected to the cloud, their geographical location is rendered largely irrelevant. Online doors and locks enable monitoring capabilities and heightened security for both operators and customers They become IoT devices which are fully integrated and remotely programmable from anywhere, at any time. This creates a powerful advantage for the managers of these environments, making it possible to report on the status of a whole chain of stores, or to monitor access to numerous storage facilities, using the intelligence that the technology provides from the data it collects. Open platforms powers continuous innovation All of these examples rely on open technology to make it possible, allowing developers and technology providers to avoid the pitfalls that come with the use of proprietary systems. The limitations of such systems have meant that the ideas, designs and concepts of the few have stifled the creativity and potential of the many, holding back innovation and letting the solutions become tired and their application predictable. Proprietary systems have meant that solution providers have been unable to meet their customers’ requirements until the latest upgrade becomes available or a new solution is rolled out. This use of open technology enables a system that allows for collaboration, the sharing of ideas and for the creation of partnerships to produce ground-breaking new applications of technology. Open systems demonstrate a confidence in a vendor’s own solutions and a willingness to share and encourage others to innovate and to facilitate joint learning. An example of the dynamic use of open technology is Axis’ physical access control hardware, which enables partners to develop their own cloud-based software for control and analysis of access points, all the while building and expanding on Axis’ technology platform. Modern access control solutions range from simple card readers to two factor authentication systems using video surveillance as a secondary means of identification Opportunities for growth Open hardware, systems and platforms create opportunities for smaller and younger companies to participate and compete, giving them a good starting point, and some leverage within the industry when building and improving upon existing, proven technologies. This is important for the evolution and continual relevance of the physical security industry in a digitally enabled world. Through increased collaboration across technology platforms, and utilising the full range of possibilities afforded by the cloud environment, the manufacturers, vendors and installers of today’s IP enabled access control systems can continue to create smart solutions to meet the ever-changing demands and requirements of their customers across industry.
Large event venues spend significant resources on physical security, and the vast majority invest in video surveillance systems as a way of monitoring public areas such as parking lots, garages and seating, as well as “backstage” areas such as loading docks and offices. Even though the camera footage is often preserved for investigating incidents, for the most part, video footage goes untapped because – realistically – security staff cannot constantly and efficiently monitor cameras in real-time or review the high volumes of archived video. Video Analytics Powered by Artificial Intelligence Increasingly, event venues are overcoming this challenge and maximizing this video data by investing in intelligent video surveillance. In this article, I’d like to explore how the combination of traditional surveillance and groundbreaking video content analytics enables event venues to not only optimize physical security and safety, but also improve customer service, streamline operations, and gather valuable business intelligence. Deep learning and artificial intelligence-based video content analytic systems detect, identify, extract, and catalog all the objects that appear in video footage, based on classes and attributes such as gender, appearance similarity, color or size. This – along with behavioral detection, such as object interactions, dwell times, and navigation paths, as well as face and license plate recognition – enables searchable, actionable and quantifiable analysis of video. The technology makes it easy for users to accelerate post-event investigations, improve situational awareness, and derive critical business insights from video data. Accelerate post-event investigations, improve situational awareness, and derive critical business insights Accelerating Investigations and Real Time Response Where there are crowds, it’s not uncommon for medical or criminal incidents to transpire. In the aftermath, security teams must quickly understand the scene and, by making video searchable, video analytics helps them efficiently gather information or evidence from multiple camera. Whereas a manual search of video footage would require hours, if not days, of valuable time and staff resources – while being subject to human error – a video content analytics system enables effective multi-video search using a variety of filters, so that post-incident investigations can be focused and, thereby, accelerated. For instance, if witnesses claim that a man in a yellow shirt caused a disturbance and then drove away in a blue pickup truck, security could filter video to review instances where people or vehicles matching those descriptions appeared, and then focus their investigation on relevant video evidence. For the same example, if the perpetrator was still at large in the venue, security managers would want to track the person’s movements and, ultimately, apprehend him. Using the same cataloged metadata that drives video search, intelligent video surveillance accelerates real-time response to developing situations from threats and suspicious behaviors to emergencies, or even any behavior that requires closer monitoring or intervention. Something as mundane as an unwieldy queue forming at a concession stand, can translate into alerting logic that increases operators’ situational awareness and ability to effectively intervene when time is of the essence. By understanding developing situations in real-time, they can respond more quickly to prevent or solve a problem. Rule-based real time alerts Users can configure rule-based real-time alerts, based on specific scenarios – such as when people counts in the defined space next to the cashier are higher than the specified threshold, indicating a queue, or when vehicles are detected dwelling in a no-park zone or sensitive security area. In the case of the offender in the yellow shirt, security could configure alerts to notify for appearances of men in yellow shirts or blue pickup trucks within the event complex. If they’re able to extract the perpetrator’s face or license plate from the video search, security officers can also identify and track the specific person and vehicle of interest. Intelligent video surveillance users can compile “watchlists” Object recognition is helpful for tracking specific, identified threats, but it can also be leveraged for locating missing persons or vehicles or offering VIP services to guests who comply. Intelligent video surveillance users can compile “watchlists” – that include persons of interest, such as past agitators, recognized criminals or terrorists, missing persons or VIPs – to be alerted when matches for these faces appear in video. Face recognition can also be used to differentiate recognized employees from visitors that are not authorized to be in certain spaces, to prevent security breaches. Because camera conditions aren’t always optimal for “in the wild” face and license plate recognition – where lighting conditions or camera angles don’t always allow for a pristine face or plate capture – it is critical to have a comprehensive video content analysis tool for triggering alerts based object classifications and non-personally-identifiable parameters is critical. Optimizing Operations Based on Business Intelligence While having real-time situational awareness is crucial for proactive intervention to developing situations, understanding long-term activity and trends can be equally important for an events venue or stadium. With video analytics, video surveillance data can be aggregated over time to generate statistical intelligence, trend reports, and data visualizations for operational intelligence. This capability transforms video surveillance from a siloed security tool to an intelligence platform with broad value for business groups across the organization: Marketing departments can gain visitor demographic information for targeted advertising and product placements. On-site retailers can uncover how visitors navigate their stores and the products or spaces that draw the most attention. Property management can follow heatmaps demonstrating where visitors dwell and the durations they stay at certain exhibits or areas, to base rental and leasing fees on actionable and quantifiable intelligence. Operations managers can more effectively plan and hire staff for events, by analyzing visitor traffic trends, entry and exit points and occupancy statistics. Video surveillance data can be aggregated over time to generate statistical intelligence For these reasons and more, event organizations that already rely on CCTV networks, should consider how to better leverage those existing investments to deliver substantial value across the organization: By making video searchable, actionable and quantifiable, intelligent video surveillance empowers event managers to enhance public safety and physical security, while also streamlining operations and improving customer service.
There was a time when men dominated the physical security industry. On second thought, that time is today. Even with increasing numbers of women entering our community, it’s an industry that is still mostly populated by men. But change is coming, and the industry as a whole is benefiting greatly from a surge in female voices. We asked this week’s Expert Panel Roundtable: What is the changing role of women in security?
Artificial Intelligence. You’ve heard the words in just about every facet of our lives, just two words, and they’re quite possibly the most moving, life-changing words employed in everyday conversations. So what exactly is AI, who currently uses it and should be using it? What is AI? AI is a powerful way of collecting, qualifying and quantifying data toward a meaningful conclusion to help us reach decisions more quickly or automate processes which could be considered mundane or repetitive. AI in its previous state was known as “machine learning” or “machine processing” which has evolved into “deep learning” or, here in the present, Artificial Intelligence. AI as it applies to the security and surveillance industry provides us the ability to discover and process meaningful information more quickly than at any other time in modern history. Flashback - VCR tapes, blurred images, fast-forward, rewind and repeat. This process became digital, though continued to be very time-consuming. Today’s surveillance video management systems have automated many of these processes with features like “museum search” seeking an object removed from a camera view or “motion detection” to create alerts when objects move through a selected viewpoint. These features are often confused with AI, and are really supportive analytics of the Artificial Intelligence, not AI themselves. Machine Learning Fully appreciating AI means employment of a machine or series of machines to collect, process and produce information obtained from basic video features or analytics. What the machines learn depends on what is asked of them. The truth is, the only way the AI can become meaningful is if there is enough information learned to provide the results desired. If there isn’t enough info, then we must dig deeper for information or learn more, properly described as “deep-learning” AI. Translated, this means that we need to learn more on a deeper level in order to obtain the collaborative combined information necessary to produce the desired result. Deep learning AI Deep learning AI can afford us the ability to understand more about person characteristic traits & behaviors. Applying this information can then further be applied to understand how to interpret patterns of behavior with the end goal of predictable behavior. This prediction requires some degree of human interpretation so that we are able to position ourselves to disrupt patterns of negative behavior or simply look for persons of interest based on these patterns of behavior. These same patterns evolve into intelligence which over time increases the machine’s ability to more accurately predict patterns that could allow for actions to be taken as a result. This intelligence which is now actionable could translate to life safety such as stopping a production manufacturing process, if a person were to move into an area where they shouldn’t be which might put them in danger. Useful applications of intelligence Informative knowledge or intelligence gathered could be useful in retail applications as well by simply collecting traffic patterns as patrons enter a showroom. This is often displayed in the form of heat mapping of the most commonly traveled paths or determining choke points that detract from a shopper’s experience within the retail establishment. It could also mean relocating signage to more heavily traveled foot-paths to gain the highest possible exposure to communicating a sale or similar notice, perhaps lending itself to driving higher interest to a sale or product capability. Some of this signage or direction could even translate to increased revenues by realigning the customer engagement and purchasing points. Actionable Intelligence From a surveillance perspective, AI could be retranslated to actionable intelligence by providing behavioral data to allow law enforcement to engage individuals with malicious intent earlier, thus preventing crimes in whole or in part based on previously learned data. The data collection points now begin to depart from a more benign, passive role into an actionable role. As a result, new questions are being asked regarding the cameras intended purpose or role of its viewpoint such as detection, observation, recognition or identification. Detecting human presence By way of example, a camera or data collector may need to detect human presence, as well as positively identify who the person is. So the analytic trip line is crossed or motion box activated or counter-flow is detected which then creates an alert for a guard or observer to take action. Further up the food chain, a supervisor is also notified and the facial characteristics are captured. These remain camera analytics, but now we feed this collected facial information to a graphic processing unit (GPU) which could be employed to compare captured characteristics with pre-loaded facial characteristics. When the two sources are compared and a match produced, an alert could be generated which results in an intervention or other similar action with the effort of preventing a further action. This process- detect, disrupt, deter or detain could be considered life-saving by predictably displaying possible outcomes in advance of the intended actions. The next level is deep-learning AI which employs the same characteristics to determine where else within the CCTV ecosystem the individual may have been previously by comparatively analyzing other collected video data. This becomes deep-learning AI when the GPU machine is able to learn from user-tagged positive identification, which the machine learns and begins to further reprocess its own data to further understand where else the person of interest (POI) may have existed on the ecosystem and more correctly improve its own predictive capabilities, thus becoming faster at displaying alerts and better at the discovery of previously archived video data. The future In conclusion, the future of these “predictables” wholly rests in the hands of the purchasing end-user. Our job is to help everyone understand the capabilities and theirs is to continue to make the investment so that the research perpetuates upon itself. Just think where we’d be if purchasers didn’t invest in the smartphone?
Edge devices (and edge computing) are the future. Although, this does seem a little cliché, it is the truth. The edge computing industry is growing as quickly as technology can support it and it looks like we will need it to. IoT Global Market The IoT (Internet of Things) industry alone will have put 15 billion new IoT devices into operation by the year 2020 according to a recent Forbes article titled, “10 Charts That Will Challenge Your Perspective of IoT’s growth”. IoT devices are not the only edge devices we have to deal with as the total number of connected edge devices includes the likes of devices like security devices, phones, sensors, retail sales devices, and industrial and home automation devices. The IoT (Internet of Things) industry alone will have put 15 billion new IoT devices into operation by the year 2020 The sheer number of devices begins to bring thoughts of possible security and bandwidth implications into perspective. The amount of data that will need to be passed and processed with all of these devices will be massive. There needs to be consideration taken by all business owners and automation engineers into how this amount of data and processing will be conducted. Ever-Expanding Edge Devices Market As the number of edge devices in the marketplace and their use among consumers and businesses rises, the need to be able to handle the data from all of these devices is no longer going to be suitable for central server architectures. We are talking about hundreds of billions and even trillions of devices. According to IHS Markit researchers’ study, there were 245 million CCTV cameras worldwide. One has to imagine there are at least 25% of that many access control devices (61.25 million devices) based on a $344 million market cap also calculated by IHS Markit’s researchers. If all the other edge devices mentioned earlier are considered then one can see that trying to route them all through servers for processing is going to start to become difficult if it hasn’t already, -which arguably it already has, as is evidenced by the popularity of cloud-based solutions amongst those businesses that already use a lot of edge devices or are processing a lot of information on a constant basis. Cloud Computing The question is whether cloud computing the most effective and efficient solution as the IoT industry grows The question is this; is cloud computing the most effective and efficient solution as the IoT industry grows and the amount of edge devices becomes so numerous? My belief is that it is not. Taking the example of a $399 USD device that is just larger than the size of a pack of cards and runs a CPU benchmarked at the same level as a mid-size desktop. This device has 8GB RAM and 64GB EMMC built-in and a GPU that can comfortably support a 4K signal at 60Hz with support for NVMe SSDs for add-on storage. This would have been unbelievable five years ago. As the price of edge computing goes down, which it has done in a dramatic way over the last 10 years (as can be seen with my recent purchase), the price to maintain a central server that can perform the processing required for all of the new devices being introduced to the world (due to the low cost of entry for edge device manufacturers) becomes more expensive. This introduces the guarantee that there will be a point where it will be less expensive for businesses, and consumers alike, to do the bulk of their processing at the edge as opposed to in central server architectures. Cloud computing is now being overtaken by edge computing, the method of processing data at the edge of the network in the devices themselves Edge Computing There are a plethora of articles discussing and detailing the opposition between the two sides of the computing technology coin, cloud computing and edge computing. The gist of it is that “cloud computing” was the hot new buzzword three years ago and is now being overtaken by “edge computing.” The truth is that cloud computing is a central server architecture hosted at someone else’s location. Edge computing is going to be a necessary development in the technology industry Edge computing is the method of processing data at the edge of the network (in the devices themselves) and allowing for less resources required at a central location. There is certainly a use case for both, however the shift to edge computing amongst the general public and small to mid-sized businesses will not be a surprise to those players, who have been paying attention. One article titled, “Next Big Thing In Cloud Computing Puts Amazon And Its Peers On The Edge” by Investor’s Business Daily takes the stance that edge computing is going to completely displace centralized cloud computing and even coins the phrase, “Cloud computing, decentralized” to explain edge computing. It speaks for the stance that most experts in technology seem to be taking, including Amazon Web Services’ VP of Technology, Marco Argenti according to the same article. We know that edge computing is going to be a necessary development in the technology industry, and it is happening as I write this, and quickly at that. Cost Efficiency Of Edge Processing As time goes on, the intersection between the prices of network bandwidth, edge processing and maintaining super powerful central servers will cause edge processing to be the most efficient and cost-effective way to maintain a scalable network in any environment, including datacenters. Owning a central server or utilizing edge computing become the better options As it currently stands, most residential users can only achieve a 1Gbps WAN (internet) connection, and small to medium-sized business can’t get much more but seem to get much less, based on my personal experience. When more than 1Gbps needs to be processed, cloud computing becomes very expensive at which point, owning a central server or utilizing edge computing become the better options. Then you look a total cost of ownership and when the cost of edge computing is less expensive than the cost of maintaining central server architectures, edge computing becomes the single best option. So, I’ll say it again, edge devices (and edge computing) are the future.
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