Optimise retail operations with VIVOTEK’s 3D people counting solution
Optimise retail operations with VIVOTEK’s 3D people counting solution

VIVOTEK, a global IP surveillance provider introduced a new stereo network camera for retail solutions, the SC8131. The SC8131 delivers 3 key benefits for the retail market, including: Accurate Traffic Analysis: Uniquely designed with a dual-lens, the SC8131 mimics the eyes of human beings. Thanks to its 3D Depth Technology with up to 98% accuracy rate, the camera can distinguish individuals or groups, adult or children, and filter out carts, and strollers. Furthermore, it obtains bi-directional counting on a definable flow and tracking a moving path, avoiding double counting caused by u-turns. Improve Staff Management: When retailers recruit security staff or part-time employees to manually count traffic they tend to produce a less than satisfactory result. With VIVOTEK’s SC8131, these valuable human resources now can be managed more efficiently while producing far higher levels of accuracy. Optimize Operating Decisions: VIVOTEK is committed to helping retailers think ahead and maximise their ROI. The SC8131 enhances business intelligence via VIVOTEK’s central management software, VAST, which produces dedicated counting reports. These real-time reports can be exported by schedule or for areas in a line chart, bar graph or pie chart and directly exported into Snapshot. And all the data can also be exported to Microsoft Excel for analysis. Finally, VAST provides a seamless counting function, which secures counting data all the time, even during unexpected network or power disruption. With VIVOTEK, information vital to your business will always be on hand.

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H.264 Day & Night Weather-proof Network Bullet Camera IP8332-C
H.264 Day & Night Weather-proof Network Bullet Camera IP8332-C

VIVOTEK IP8332 is a best-in-class, bullet-style network camera designed for diverse outdoor applications. Equipped with a 1MP sensor enabling viewing resolution of 1280x800 at a smooth 30 fps, the IP8332 is an all-in-one outdoor camera capable of capturing high quality and high resolution video. In order to adapt to constantly changing outdoor lighting conditions, the IP8332 features a removable IR-cut filter as well as IR illuminators effective up to 15M for superior image quality around the clock. For protection against harsh outdoor environments, the camera is encased in an IP66-rated housing and weather-proof casing to withstand rain and dust. The IP8332 supports the industry-standard H.264 compression technology, drastically reducing file sizes and conserving valuable network bandwidth. With H.264, MPEG-4, and MJPEG compatibility all included, multiple streams can be simultaneously transmitted in any of these formats at different resolutions, frame rates, and image qualities for versatile platforms. The streams can also be individually configured to meet different needs or bandwidth constraints, thereby further optimizing bandwidth and storage. Incorporating a number of advanced features standard for VIVOTEK cameras, including tamper detection, 802.3af compliant PoE, SD/SDHC card slot, and VIVOTEK's 32-channel recording software, the IP8332 is the ideal solution for your outdoor surveillance needs. Features 1/4" CMOS Sensor in 1280 X 800 resolution Removable IR-cut Filter for Day & Night Function Built-in IR Illuminators, Effective up to 15 Meters Real-time H.264, MPEG-4 and MJPEG Compression (Triple Codec) Multiple Simultaneous Streams Activity Adaptive Streaming for Dynamic Frame Rate Control Weather-proof IP66-rated Housing Tamper Detection for Unauthorized Changes Built-in 802.3af Compliant PoE Digital Input for External Sensor Built-in MicroSD/SDHC Card Slot for On-board Storage Supports ONVIF Standard to Simplify Integration and Enhance Interoperability

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VIVOTEK Smart Stream II H.265 solutions
VIVOTEK Smart Stream II H.265 solutions

VIVOTEK, a leading provider of H.265A pioneer in the use of H.265 technology for surveillance, VIVOTEK is proud to launch the new H.265 solutions, available in from 2-Megapixel to 5-Megapixel models and in a range of form factors to suit any application. Employing H.265 technology enables these cameras to provide higher and more efficient image compression rates than previous H.264 systems while maintaining the high image quality. Additionally, VIVOTEK’s NVRs (network video recorders) and professional VMS (video management software), VAST, provide complete H.265 solutions for professional surveillance operations.VIVOTEK's Smart Stream II: Make your bandwidth more efficientIn addition to the deployment of H.265 hardware, VIVOTEK also releases the sophisticated Smart Stream II, the next generation of video compression technology. Utilizing VIVOTEK’s Smart Stream II, cameras are able to optimise quality for desired regions and adjust encoding automatically to maximise bandwidth usage efficiency. Customers will benefit from significant reduction in network bandwidth and storage requirements. Combining H.265 and VIVOTEK's Smart Stream II, the H.265 solutions can reduce both bandwidth and storage consumption by up to 80% more than cameras using H.264.As well as these advanced network cameras, VIVOTEK also introduces H.265 compatible NVRs and video management software, VAST to shorten installation time and cost. VIVOTEK's H.265 integrated solution is perfect for a wide range of environments, including indoors, outdoors and from small to medium scale applications.

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VIVOTEK showcased 2MP day & night Network bullet camera for outdoor surveillance at ASIS 2009
VIVOTEK showcased 2MP day & night Network bullet camera for outdoor surveillance at ASIS 2009

VIVOTEK 2MP Outdoor Network Bullet Camera - IP73612MP CMOS sensor3 ~ 9 mm vari-focal, auto-iris lensRemovable IR-cut filter and built-in IR illuminators Real-time MPEG-4 and MJPEG compression (Dual Codec)Multiple streams simultaneouslyWeather-proof IP67-rated housingBuilt-in 802.3af compliant PoEBuilt-in SD/SDHC card slot for on-board storageMounting bracket with cable managementExcellent image quality & data efficiencyWith a 2-megapixel sensor, IP7361 can provide highly detailed images, covering a wide area. Via the integrated bandwidth-efficient technologies including Cropping, ePTZ, Activity Adaptive Streaming and Multiple Streams, transmission and storage of cameras feeds can be optimised.Overview of Vivotek network bullet camera IP7361 Clear images 24/7IP7361 is integrated with a removable IR-cut filter and IR LEDs to ensure superior image quality, day and night.IP67-rated housingIts weather-proof IP67-rated housing provides protection from extreme weather conditions, allowing for operation in demanding environments.Mounting bracket with cable managementIP7361 has a mounting bracket that conceals cables inside. The protective bracket prevents cables from malicious or natural damage, guaranteeing consistent and reliable surveillance performance. It also gives the cameras a clean and professional appearance.Tamper detectionBy detecting camera tampering immediately and sending out alerts to the operator, the IP7361 is an invaluable solution for vandalism-prone areas.Uninterrupted recordingThe SD/SDHC card slot allows for short-term and portable video storage on removable memory cards, thereby providing a higher level of convenience.

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VIVOTEK to offer H.264 2-megapixel day & night fixed dome network camera - FD8161
VIVOTEK to offer H.264 2-megapixel day & night fixed dome network camera - FD8161

VIVOTEK FD8161 is a professional-series fixed dome network camera featuring superb 2-megapixel image quality and exceptional bandwidth efficiency of H.264 video compression, especially suitable for wide open spaces such as building entrances and airports, or applications requiring accurate identification.Featuring a 2-megapixel sensor, the FD8161 can provide coverage 6 times more than a VGA camera, making it capable of providing highly detailed images by which users can easily and accurately identify minute objects.  The FD8161's H.264 support significantly reduces file sizes and conserves valuable network bandwidth. With MPEG-4 and MJPEG compatibility, video streams can be transmitted in either of these formats for versatile applications. The FD8161 comes with a removable IR-cut filter and IR illuminators for superior image quality around the clock. It is also equipped with a PIR sensor that detects moving objects by their thermal characteristics. FD8161's tamper detection feature detects data loss from camera tampering in real-time. Its on-board storage SD/SDHC card slot ensures continuous recording. Additionally, it comes with a recessed design, allowing for cable concealment at the bottom of the camera, and a 3-axis mechanism for flexible installation. Designed for maximum value and performance, the FD8161 is indisputably the top choice for reliable indoor surveillance.Key Features2-megapixel CMOS sensor3 ~ 9 mm vari-focal, auto-iris LensRemovable IR-cut filter for day and night functionBuilt-in IR illuminators, effective up to 15 metres Real-time H.264, MPEG-4, and MJPEG compression (triple codec)   Multiple streams simultaneouslyBuilt-in PIR sensor for human detection Built-in 802.3af compliant PoE 

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VIVOTEK’s compact cube network camera – CC8130
VIVOTEK’s compact cube network camera – CC8130

VIVOTEK has launched a new megapixel-class camera tailored to the needs of retailers - the CC8130, to enhance VIVOTEK's lineup of security cameras designed for the retail industry. The CC8130 is a compact cube camera especially designed for indoor surveillance with a flat back-panel for easy mounting on walls, desktop or countertops, and ideal for locations such as checkout stations, capturing faces at eye level. The unique and physically elegant design makes it the best choice for boutique, hotel, restaurant, department or convenience stores. With a 180° panoramic viewing angle, the camera provides full coverage of monitored areas without blind spots, providing complete video security. In addition, a built-in microphone to record sound within a 5 meter radius further enhances its value as a security tool. VIVOTEK's new camera CC8130 targeted at retail environments supports industry-standard H.264 compression, drastically reducing file sizes and conserving valuable network bandwidth. Together with the ST7501 multi-lingual 32-channel recording software, customers can also take advantage of the iViewer remote monitoring app for iOS and Android mobile devices, setting up an easy-to-use IP surveillance system with ease. CC8130’s key features include 1-Megapixel CMOS Sensor, 180° horizontal panoramic view, compact and elegant design, real-time H.264 and MJPEG compression (dual codec), 30 fps @ 1280x800, and built-in IEEE 802.3af compliant PoE.

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Vivotek launches H.264 fixed network camera with supreme night visibility - IP8151
Vivotek launches H.264 fixed network camera with supreme night visibility - IP8151

VIVOTEK IP8151 represents the next-generation in video quality in network cameras. As the first 1.3 Megapixel IP camera in VIVOTEK's new line of professional SUPREME Series products, users will be able to experience the utmost in picture clarity through utilisation of SONY's latest sensor technology, dubbed "ExmorTM", which enables the IP8151 to capture exceptional details during daytime, as well as offer unparalleled visibility under low-light conditions through its Supreme Night Visibility feature.The IP8151 camera supports the industry-standard H.264 compression technology, drastically reducing file sizes and conserving valuable network bandwidth. With MPEG-4 and MJPEG compatibility also included, video streams can be transmitted in any of these formats for versatile applications.Also featuring a myriad of other high-end features such as SDHC card slot, PoE, multiple streams, and more, the IP8151 camera is the ideal choice for the most demanding monitoring applications. By providing sharp, smooth video, plus exceptional performance in low-light conditions, the IP8151 can secure a variety of sites such as retails stores, school campuses, and much more.Key Features1.3-megapixel CMOS SensorSupreme Night VisibilityUp to 30 fps@ 1280x10243.1 ~ 8 mm Vari-focal, Auto-iris LenRemovable IR-cut Filter for Day and Night FunctionReal-time H.264, MPEG-4, and MJPEG Compression (Triple Codec)Built-in SD/SDHC Card Slot for On-board StorageBuilt-in 802.3af Compliant PoECS- or C-mount Adjustment Ring for Flexible Lens InstallationSupports ONVIF Standard to Simplify Integration and Enhance Interoperability 

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VIVOTEK presents new network cameras, embracing 2 megapixel and H.264, at IFSEC 2009
VIVOTEK presents new network cameras, embracing 2 megapixel and H.264, at IFSEC 2009

VIVOTEK 2 megapixel day & night network camera - IP71612 megapixel CMOS sensorRemovable IR-cut filter for day and night functionDetects tampering from blockage, redirection, spray-painting, defocusingTime-shift streaming for recording pre- and post-event videoReal-time MPEG-4 and M-JPEG compression (dual codec)Multiple streams simultaneously ePTZ for data efficiencyBuilt-in SD/SDHC card slot for on-board storageWide coverage with superior image qualityIP7161 can provide coverage 6 times larger than a VGA camera with highly exceptional details, dramatically reducing camera installations.Watch the 2 megapixel day & night fixed network camera overview Image capture with greater data efficiencyWith ePTZ, users can move freely in the full-view window without changing the camera direction physically and receive only target region images for viewing, achieving more efficient use of bandwidth and storage space.Full features for professional surveillanceIP7161 uses a removable IR-cut filter to ensure superior image quality day and night. Its tamper detection feature detects data loss from camera tampering in real-time, keeping security staff alerted on camera blockage, redirection, defocusing or spray-painting. The time-shift streaming support provides comprehensive information for more accurate content analysis. With a SD/SDHC card slot for on-board storage, IP7161 ensures continuous recording and efficient use of bandwidth and storage space.Flexible lens installationIP7161's CS/C-mount adjustment ring allows users to change lenses easily without using a spacer, achieving more flexibility in lens selection and installation.

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VIVOTEK CC8130(HS) height strip network camera for facial recognition
VIVOTEK CC8130(HS) height strip network camera for facial recognition

The VIVOTEK CC8130(HS) is a height-strip network camera equipped with a 180 degree wide-angle lens, delivering clear images for reliable facial recognition. An ideal installation height of 170cm (5.5 ft) allows the CC8130(HS) to capture clear facial images at eye view, even when the subject is wearing a hat or hood. In addition, the plug and play design makes the CC8130(HS) installation simple and rapid. Combining low-profile and high- level features, the CC8130(HS) is ideal for discreet indoor applications, such as retail, banks, restaurants, small businesses and particularly in cashier areas. To dramatically reduce file sizes and conserve valuable network bandwidth, the CC8130(HS) supports the industry-standard H.264 compression technology. Combined with the ST7501 multi-lingual 32-channel recording software, users can quickly and easily set up an IP surveillance system that's simple to operate but hard to beat. "Capturing clear facial images is one of the most critical issues in surveillance. One solution is to mount the camera at eye-level, but this increases the risk of vandalism. VIVOTEK, the professional solution provider, is proud to release the CC8130(HS) with discreet eye-level mounting, allowing capture of clearer facial images than ceiling-mounted cameras, even when subjects wear hats or hoods," said Tim Su, Director, Marketing Division at VIVOTEK. "Additionally, the CC8130(HS) offers graduated and color-coded height measurements in both U.S. and Metric units to meet the needs of users all over the world."

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IP cameras - Expert commentary

The benefits and challenges of in-camera audio analytics for surveillance solutions
The benefits and challenges of in-camera audio analytics for surveillance solutions

Audio is often overlooked in the security and video surveillance industry. There are some intercom installations where audio plays a key role, but it’s not typically thought about when it comes to security and event management. Audio takes a back seat in many security systems because audio captured from a surveillance camera can have a different impact on the privacy of those being monitored. Audio surveillance is therefore subject to strict laws that vary from state to state. Many states require a clearly posted sign indicating audio recording is taking place in an area before a person enters. Analytic information derived from audio can be a useful tool and when implemented correctly, removes any concerns over privacy or legal compliance. Audio analytics on the edge overcomes legal challenges as it never passes audio outside of the camera Focused responses to events Audio analytics processed in the camera, has been a niche and specialised area for many installers and end users. This could be due to state laws governing audio recording, however, audio analytics on the edge overcomes legal challenges as it never passes audio outside of the camera Processing audio analytics in-camera provides excellent privacy since audio data is analysed internally with a set of algorithms that only compare and assess the audio content. Processing audio analytics on the edge also reduces latency compared with any system that needs to send the raw audio to an on-premises or cloud server for analysis. Audio analytics can quickly pinpoint zones that security staff should focus on, which can dramatically shorten response times to incidents. Audio-derived data also provides a secondary layer of verification that an event is taking place which can help prioritise responses from police and emergency personnel. Having a SoC allows a manufacturer to reserve space for specialised features, and for audio analytics, a database of reference sounds is needed for comparison Microphones and algorithms Many IP-based cameras have small microphones embedded in the housing while some have a jack for connecting external microphones to the camera. Microphones on indoor cameras work well since the housing allows for a small hole to permit sound waves to reach the microphone. Outdoor cameras that are IP66 certified against water and dust ingress will typically have less sensitivity since the microphone is not exposed. In cases like these, an outdoor microphone, strategically placed, can significantly improve outdoor analytic accuracy. There are several companies that make excellent directional microphones for outdoor use, some of which can also combat wind noise. Any high-quality external microphone should easily outperform a camera’s internal microphone in terms of analytic accuracy, so it is worth considering in areas where audio information gathering is deemed most important. In-built audio-video analytics Surveillance cameras with a dedicated SoC (System on Chip) have become available in recent years with in-built video and audio analytics that can detect and classify audio events and send alerts to staff and emergency for sounds such as gunshots, screams, glass breaks and explosions. Having a SoC allows a manufacturer to reserve space for specialised features. For audio analytics, a database of reference sounds is needed for comparison. The camera extracts the characteristics of the audio source collected using the camera's internal or externally connected microphone and calculates its likelihood based on the pre-defined database. If a match is found for a known sound, e.g., gunshot, explosion, glass break, or scream, an event is triggered, and the message is passed to the VMS. If a match is found for a known sound, e.g., gunshot, explosion, glass break, or scream, an event is triggered, and the message is passed to the VMS Configuring a camera for audio analytics Audio detectionThe first job of a well-configured camera or camera/mic pair is to detect sounds of interest while rejecting ancillary sounds and noise below a preset threshold. Each camera must be custom configured for its particular environment to detect audio levels which exceed a user-defined level. Since audio levels are typically greater in abnormal situations, any audio levels exceeding the baseline set levels are detected as being a potential security event. Operators can be notified of any abnormal situations via event signals allowing the operator to take suitable measures. Finding a baseline of background noise and setting an appropriate threshold level is the first step. Installers should be able to enable or disable the noise reduction function and view the results to validate the optimum configuration during setup Noise reductionA simple threshold level may not be adequate enough to reduce false alarms depending on the environment where a camera or microphone is installed. Noise reduction is a feature on cameras that can reduce background noise greater than 55dB-65dB for increased detection accuracy. Installers should be able to enable or disable the noise reduction function and view the results to validate the optimum configuration during setup. With noise reduction enabled, the system analyses the attenuated audio source. As such, the audio source classification performance may be hindered or generate errors, so it is important to use noise reduction technology sparingly. Audio source classificationIt’s important to supply the analytic algorithm with a good audio level and a high signal-to-noise ratio to reduce the chance of generating false alarms under normal circumstances. Installers should experiment with ideal placement for both video as well as audio. While a ceiling corner might seem an ideal location for a camera, it might also cause background audio noise to be artificially amplified. Many cameras provide a graph which visualises audio source levels to allow for the intuitive checking of noise cancellation and detection levels. Analytics take privacy concerns out of the equation and allow installers and end users to use camera audio responsibly Messages and eventsIt’s important to choose a VMS that has correctly integrated the camera’s API (application programming interface) in order to receive comprehensive audio analytic events that include the classification ID (explosion, glass break, gunshot, scream). A standard VMS that only supports generic alarms, may not be able to resolve all of the information. More advanced VMS solutions can identify different messages from the camera. Well configured audio analytics can deliver critical information about a security event, accelerating response times and providing timely details beyond video-only surveillance. Analytics take privacy concerns out of the equation and allow installers and end users to use camera audio responsibly. Hanwha Techwin's audio source classification technology, available in its X Series cameras, features three customisable settings for category, noise cancellation and detection level for optimum performance in a variety of installation environments.

Artificial Intelligence (AI) in physical security systems: Trends and opportunities
Artificial Intelligence (AI) in physical security systems: Trends and opportunities

If you’ve been paying attention over the last twelve months, you will have noticed that deep learning techniques and artificial intelligence (AI) are making waves in the physical security market, with manufacturers eagerly adopting these buzzwords at the industry's biggest trade shows. With all the hype, security professionals are curious to know what these terms really mean, and how these technologies can boost real-world security system performance. The growing number of applications of deep learning technology and AI in physical security is a clear indication that these are more than a passing fad. This review of some of our most comprehensive articles on these topics shows that AI is an all-pervasive trend that the physical security industry will do well to embrace quickly. Here, we examine the opportunities that artificial intelligence presents for smart security applications, and look back at how some of the leading security companies are adapting to respond to rapidly-changing expectations: What is deep learning technology? Machine Learning involves collecting large amounts of data related to a problem, training a model using this data and employing this model to process new data. Recently, there have been huge advances in a branch of Machine Learning called Deep Learning. This describes a family of algorithms based on neural networks. These algorithms are able to learn efficiently from example, and subsequently apply this learning to new data. Here, Zvika Ashani explains how deep learning technology can boost video surveillance systems. Relationship between deep learning and artificial intelligence With deep learning, you can show a computer many different images and it will "learn" to distinguish the differences. This is the "training" phase. After the neural network learns about the data, it can then use "inference" to interpret new data based on what it has learned. For example, if it has seen enough cats before, the system will know when a new image is a cat. In effect, the system “learns” by looking at lots of data to achieve artificial intelligence (AI). Larry Anderson explores how new computer hardware - the Graphic Processing Unit (GPU) – is making artificial intelligence accessible to the security industry. Improving surveillance efficiency and accuracy with AI Larry Anderson explains how the latest technologies from Neurala and Motorola will enable the addition of AI to existing products, changing an existing solution from a passive sensor to a device that is “active in its thinking.” The technology is already being added to existing Motorola body-worn-cameras to enable police officers to more efficiently search for objects or persons of interest. In surveillance applications, AI could eliminate the need for humans to do repetitive or boring work, such as look at hours of video footage. Intelligent security systems overcome smart city surveillance challenges AI technology is expected to answer the pressing industry questions of how to use Big Data effectively and make a return on the investment in expensive storage, while maintaining (or even lowering) human capital costs. However, until recently, these expectations have been limited by factors such as a limited ability to learn, and high ongoing costs. Zvika Ashani examines how these challenges are being met and overcome, making artificial intelligence the standard in Smart City surveillance deployments. Combining AI and robotics to enhance security operations With the abilities afforded by AI, robots can navigate any designated area autonomously to keep an eye out for suspicious behaviour or alert first responders to those who may need aid. This also means that fewer law enforcement and/or security personnel will have be pulled from surrounding areas. While drones still require a human operator to chart their flight paths, the evolution of artificial intelligence (AI) is increasing the capabilities of these machines to work autonomously, says Steve Reinharz. Future of artificial intelligence in the security industry Contributors to SourceSecurity.com have been eager to embrace artificial intelligence and its ability to make video analytics more accurate and effective. Manufacturers predicted that deep learning technology could provide unprecedented insight into human behaviour, allowing video systems to more accurately monitor and predict crime. They also noted how cloud-based systems hold an advantage for deep learning video analytics. All in all, manufacturers are hoping that AI will provide scalable solutions across a range of vertical markets. 

Video surveillance technologies evolve to meet data and cybersecurity challenges
Video surveillance technologies evolve to meet data and cybersecurity challenges

The Internet of Things (IoT) is having a significant and ever-changing impact on the way we view video security. Today, cameras are expected to be so much more than devices with which to simply capture images; they need to be far smarter than that. These future-facing cameras are becoming an integral part of the vast digital connectivity infrastructure, delivering a parallel performance as intelligent sensors with the ability to extract the kind of invaluable data that helps businesses make improvements in the area of video security, and beyond. However, as the list of possibilities grows, so too does the risk of unauthorised access by cybercriminals. We should all be aware that a single weak link in a communications infrastructure can give hackers access to sensitive data. That’s the bad news. Safeguarding data and utilising deep learning The good news is cybercrime can be avoided by employing a data security system that’s completely effective from end-to-end. One technological advancement that the trend-spotters are predicting will become part of the video security vocabulary is ‘deep learning’ Once this level of safeguarding is in place you can begin to confidently explore the technologies and trends happening now, and those on the horizon. So, what will be having an influence on surveillance in 2018? Well, according to IHS Markit, one technological advancement that the trend-spotters are predicting will become part of the video security vocabulary is ‘deep learning’, which uses algorithms to produce multiple layers of information from the same piece of data, therefore emulating the way the human brain absorbs innumerable details every second. In Europe, GDPR compliance will also be a big talking point as new principles for video surveillance data collection, use limitation, security safeguards, individual participation and accountability are introduced. And, as the popularity – and misuse – of drones continues to rise, the recent developments in drone detection technology will be particularly welcomed by those whose primary concern relates to large areas, such as airport perimeter security. The future of 'smart' video analytics An important feature of today’s intelligent cameras is the ability to provide smart video analytics. The Bosch ‘i’ series, for example, offers a choice of formats – Essential Video Analytics and Intelligent Video Analytics. Essential Video Analytics is geared toward regular applications such as small and medium businesses looking to support business intelligence (e.g. inter-network data transfer), large retail stores and commercial buildings for advanced intrusion detection, enforcing health and safety regulations (no-parking zones or detecting blocked emergency exits) and analysing consumer behaviour. The camera-based, real-time processing can also be used to detect discarded objects, issue loitering alarms and detect people or objects entering a pre-defined field. Intelligent Video Analytics provides additional capabilities. It is designed for demanding environments and mission-critical applications, such as the perimeter protection of airports, critical infrastructures and government buildings, border patrol, ship-tracking and traffic-monitoring (e.g. wrong-way detection, traffic-counts and monitoring roadsides for parked cars: all vital video security solutions). An important feature of today’s intelligent cameras is the ability to provide smart video analytics Intelligent Video Analytics can also differentiate between genuine security events and known false triggers, such as challenging environments created by snow, wind (moving trees), rain, hail, and water reflections. For more expansive areas, like an airport perimeter fence, the system has the range and capability to provide analysis over large distances. And, if a moving camera is employed, it is also possible to capture data on objects in transit when used in conjunction with the Intelligent Tracking feature. For roadside use, Intelligent Video Analytics systems, such as the Bosch MIC IP range, are resistant to vibrations and can still operate in extreme weather conditions, continuing to detect objects in heavy rain or snow.  Evolving cameras past surveillance It’s becoming ever clearer that the IoT is transforming the security camera from a device that simply captures images, into an intelligent sensor that plays an integral role in gathering the kind of vital business data that can be used to improve commercial operations in areas beyond security. For example, cities are transitioning into smart cities. The capabilities of an intelligent camera extend to the interaction and sharing of information with other devices (only those you have appointed) With intelligent video security cameras at the core of an urban infrastructure smart data can be collected to optimise energy consumption via smart city lighting that responds to crowd detection and movement. Cameras can also be used to improve public transport by monitoring punctuality and traffic flow based on queue lengths, with the ability to control traffic lights an option should a situation require it. As the urban sprawl continues and this infrastructure grows, the need for more knowledge of its use becomes more essential, necessitating the monitoring technology developed for use by human operators to evolve into smart sensing technology, that no longer just provides video feeds, but also uses intelligent analytics and sophisticated support systems. These systems filter out irrelevant sensor data and present only meaningful events, complete with all relevant contextual data to operators to aid their decision-making. Expanding the video security camera network Today, video analytics technology has tangible benefits for human operator surveillance, and delivers KPIs that are highly relevant to transport operators, planners and city authorities. As an existing infrastructure, a video security camera network can be improved and expanded by installing additional applications rather than replaced. From a business perspective, that means greater value from a limited investment. Thereafter, the capabilities of an intelligent camera extend to the interaction and sharing of information with other devices (only those you have appointed), image and data interpretation, and the ability to perform a variety of tasks independently to optimise both your safety and business requirements. The fact is, cameras see more than sensors. Sounds obvious, but a conventional sensor will only trigger an alarm when movement is detected, whereas a camera can also provide the associated image and information like object direction, size, colour, speed or type, and use time stamps to provide historical information regarding a specific location or event. Based on this evidence, the video security camera of today is more than ready for the challenges of tomorrow.