Intelligent video analytics is rapidly evolving, and technologies in this area are rapidly spreading and the number of new technology providers is increasing. IMS's research report "Video Content Analysis in the World Market-2008 Edition of the IMS Report" stated that by 2012, the value of the video analytics market will exceed $5 billion.
Video analytics has a wide range of applications, from high-end markets such as the military, government, nuclear facilities, airports and ports, to mid-markets such as industrial facilities, education, and logistics. In the initial stage, the system is very expensive, difficult to install and operate, and the maintenance costs are high. To expand to the mid-market, intelligent video analytics vendors are making improvements to the product without compromising performance, making it easier to install and more cost-effective.
Whether a product can penetrate from the high-end market to the mid-market is usually determined by its architecture. In order to penetrate the mid-market, it is often necessary to adopt different methods and to consider certain elements, but usually simplicity is the most important factor. Systems that commonly appear in high-end markets may not be suitable for mid-markets, mainly because these systems are more expensive and more complex in their integration requirements. These markets require flexible, cost-effective, and easy-to-install systems. Remote installation and maintenance functions also play an important role in reducing the technical engineer's travel expenses. Pre-installation and maintenance projects often require the help of these engineers.
The key to entering the mid-market is through system integrators and installation companies. They understand the latest security technologies and have potential goals for upgrading existing databases and video analytics for existing CCTV installations. When dealing with intelligent video analytics, the key challenge for system integrators is that customers desire systems that can be installed quickly, minimizing the lack of monitoring time due to installation, while minimizing the associated learning curve effects due to the desire for ease of operation. .
The mission of smart video providers is to provide easy-to-use video analysis products for the mid-market. A suitable smart video device will be a stand-alone DSP-based video sensor that can be operated independently of other components simply by connecting and configuring the device. This type of architecture allows system integrators and installers to easily upgrade existing monitoring systems with simple video input, output, and remote setup over the network.
Video analysis is easy to use when upgrading from an existing basic camera to a DVR architecture. Security personnel do not need to make any changes to current settings or system operation. By adding video analytics to the CCTV system, security events defined in the system's management and detection zones can be automatically detected, and overlays of detection patterns displayed on the Matrix/DVR. Using the sensor's dry contacts to trigger the DVR to record and mark events can increase the recording capabilities of the DVR, extending the recording time to days or even weeks because only the front and back portions of the alarm film need to be saved and finally backed up.
Not all high-end systems are suitable for the mid-range market. Despite the obvious differences in demand between the high-end and mid-end markets at the beginning of this article, the "lower" market does not have a low demand for performance. However, cost-effectiveness and system performance can be interdependent and work together.
Today's high-performance video analytics systems require complete testing. Manufacturers who have successfully obtained military certifications and national laboratory approvals demonstrate that their products can stand the test of time and are more cost-effective in the mid-market.
In the past five years, with the growing interest in video analytics, many new companies have emerged in the market. Because the performance levels are different and there is no uniform standard, users are advised to consult extensively to find out the performance of the system and install reference materials.
The military provides a perfect test bed for security products.
Because of the diversity of locations and challenges, such as rain, snow, wind, darkness, animals, cloud shadows, slow-moving or disguised intruders, and remote investigations, the military tests, approves new technologies, and provides improved feedback. The ideal organization of opinions.
Many of the technologies available to the public today come from military laboratories and test sites. Obviously, video analysis systems that pass the most demanding tests on the most difficult terrains are suitable for high-risk locations. Standards for the success of military testing include: low false positives; high PoD; good long-term performance (sometimes measured annually); rapid deployment; and simple integration. These factors, together with bulletproof design, are essential for off-the-shelf procurement and installation.
National laboratories provide further in-depth detection criteria, such as specifically targeting high performance and cost-effectiveness. Laboratory accreditation and approval can confirm whether the system is suitable for a variety of applications, including military and high-risk facilities to commercial and public places.
Finally, but perhaps most importantly, references to actual system installations around the world. The more locations where the system is installed, the more diversified manufacturers experience in handling numerous detection situations and reducing false positives.
Sales value, rather than sales equipment, CCTV cameras, monitors, wall sensors, cables, and access controls are standard components of any surveillance system, and intelligent video analytics provides value to existing or new CCTV systems. Therefore, the method of selling intelligent video analysis is different from the method of selling security devices.
Intelligent video analytics is sold to end customers rather than security advisors because it creates value by saving them money from the interests of end customers. If the VA system costs 50,000 U.S. dollars for end customers, it saves manpower, prevents losses and damages, and avoids the loss of 100,000 U.S. dollars a year. This means that the owners actually make a return of 50,000 U.S. dollars in the first year, and each year thereafter Revenue of 100,000 U.S. dollars.
Intelligent video analytics is the most important standard component in the central command center's value chain. It can filter out irrelevant information, detect security threats, mitigate video surveillance tasks, and provide security operators with the data needed to make decisions.
Regardless of the system architecture provided to customers, system integrators and distributors should indicate how to make the VA monitor better, how to save money, and how to allocate resources to other security emergency needs.
Technology Dissemination and Distribution With the rapid deployment of intelligent video analysis systems and their diverse architecture, PC-based embedded software, edge devices, smart encoders, and IP cameras, distribution channels are also increasing, presenting a diversified landscape. The distribution of some architectures is very complicated and not all distributions are applicable to the sales model of existing distributors/distributors. Distributors are usually required to own all the components required by integrators or end customers, for example, PCs, video protection cards, storage devices, displays, etc. They may also be required to integrate these components, which may exceed their expertise and require significant investment. Other architectures can be tricky to install, support, and maintain because they need to communicate with multiple vendors to synthesize opinions and obtain solutions for specific video analytics. For example, a vendor may provide a video encoder or IP camera where smart video analytics are embedded and provided by a third-party vendor.
It is therefore crucial to simplify the video analytics distribution of existing CCTV distributors, system integrators and VARs. This means that according to the customer's needs, it chooses the right architecture and provides the required professional technical knowledge and supports it through design, installation and maintenance. The best way to obtain this expertise is to support distributors for marketing, sales, and support infrastructure through frequent training, white papers, case studies, knowledge bases, and learning centers provided by suppliers.
The feasibility of choice for IR sensors Today, as customers' needs and interests are growing and technology presents significant market potential, many distributors and system integrators are seeking to supplement their products with video analytics. Customers may be interested in learning about the feasibility of traditional video analytics as an alternative to infrared sensors.
Since smart video analytics has made a big leap forward in performance, reliability, and price competitiveness over the past few years, it is natural to consider using a system that not only detects but also visually verifies and identifies security threats. sensor.
What are the advantages of intelligent video analysis compared to IR sensors? The key parameter that needs to be confirmed is the detection area that the VA or infrared sensor can provide. Infrared sensors are less tolerant of changes in climatic conditions and their detection area depends on outdoor environmental issues. For example, an IR sensor operating in the winter may detect intruders within 21 meters, and in the summer, this distance will be reduced to only 10 meters, reducing the detection range by 50%.
Since intelligent video analysis does not rely on comparing the heat emitted by different targets, it is not limited by this defect. No matter how the weather changes, the detection range is constant all the year round. Moreover, since the infrared sensor can only define a single detection area, it cannot distinguish other unrelated areas such as public places. On the other hand, multiple different activity detection zones, inactivity detection zones, and inactive detection zones can be configured for video analytics, as follows:
The activity detection area (or alarm area) refers to the area where an alarm needs to be issued when an event occurs.
The inactive detection zone refers to an area that is within the camera's field of view but ignores activity within that range.
The inactive area (pre-alert area) is defined as an area, when the system detects an activity, but only when the activity enters the active area through that area, an alert is issued. For example, it may be a fence separating public and private areas. In this case, the public area will be defined as an inactive or pre-alarm area, while the private area will be the alert area. Ignoring activities in public areas unless the intruder attempts to climb onto the wall to enter the area of ​​activity, an alert will be issued immediately after this situation occurs. This will allow ignoring harmless activities that occur in the vicinity of private areas, while having higher detection probability, faster response time, and fewer false alarms.
In addition to intruder detection, intelligent video analytics can also enable countless other applications, such as unattended baggage, illegal parking, patrolling, object movement, fence climbing, crossing lines, wrong directions, and more. Some systems will allow multiple applications to use a single camera input at the same time.
Tampering detection plays an important role in the reliability of the system. IR sensors can perform the most basic tamper detection, for example, if a sensor is being tampered with. Video analytics can immediately provide feedback on the status of the system and open a new page of tampering detection. For example, when dark fog obstructs the detection, the system will issue an alarm with poor visibility. Other conditions include loss of video signal, poor video signal, camera position shifting and obstacles. Therefore, any situation that causes a malfunction is more difficult to circumvent video analysis than infrared sensors.
Until recently, the most objection to video analytics was that its installation time was much longer than that of infrared sensors. Due to the advanced nature of video analytics and DSP-based independent combinations, video analytics now require less time and technology to set up, making installation easier.
With higher detection probability, greatly reduced false alarms and lower maintenance requirements, video analytics is definitely a viable alternative to IR sensors. Because video analysis covers a larger area, 35 infrared sensors can be easily replaced by four video encoders or cameras. This equipment has already been deployed in the UK BMW dealership.
In this project, the installation company is using remote IP access to manage and fine-tune the system, thus greatly reducing the need to visit the site. Since its built-in device supports previous dry contact inputs and outputs, there is no need to modify the alarm system. In addition, since alarms are immediately displayed on the screen, security guards can immediately pay close attention to security threats, eliminating the need for end-user training. In this project example, the accuracy and reliability of the alarm are greatly improved, and the instant alarm confirms the use of real-time and recorded video.
The above installation plan is also deployed at the installation site in the United States. The operator will warn the intruder before causing any damage or stealing. This completely overturned the security market and changed the passive operation method into a proactive approach. It fully embodies four aspects of physical security: prevention, detection, defense and defeat.
What impact does it have on the business?
For installation companies, video analysis is more cost-effective and can reduce costs by reducing on-site working time and maintenance. By differentiating your business and enhancing customer satisfaction and loyalty, video analytics can help you gain competitive advantages.
For the end customer, with better detection performance and reliability, video analytics can help reduce overall purchase costs, enhance security effectiveness, and automatically monitor alerts immediately by obtaining timely video confirmation to avoid damage.
For consultants, video analytics applies to a large customer base. The high accuracy and reliability of video analytics reduces design constraints and allows the use of existing and new solution architectures. Video analytics is also in line with future trends: When customers are ready, video analytics can help build a converged IP architecture for customers.
Conclusion The "sensor-level" video analytics architecture is most suitable for the mass market. It is flexible, cost-effective, easy to install, and enables remote setup and maintenance. And after testing and verification by the military and national laboratories, the number of installed installations is large.
Intelligent video analytics have several advantages over general-purpose sensors: it has a wider range of coverage, more applications, is more difficult to avoid, has the same installation time, requires less maintenance, is more resilient to weather changes, and has more Cost-effectiveness.
It is expected that in 2012 it will be close to $5 billion in market value, and intelligent video analytics is reaching its critical value. This is the key point for distributors, system integrators, and installers to determine whether they will ride on the development vehicle. The decision to participate is a breeze because the numbers best describe everything. But which video analysis provider to choose, which of the best architectures, and which one will provide you with reliable product, support, marketing, and sales strategies are challenges. There are market leaders, but there are market followers. Must be carefully studied before selection.
But remember, intelligent video analytics will bring value to all customers. Video analytics will reduce the associated loss of manpower and product, and customers will benefit from this service.
Video analytics has a wide range of applications, from high-end markets such as the military, government, nuclear facilities, airports and ports, to mid-markets such as industrial facilities, education, and logistics. In the initial stage, the system is very expensive, difficult to install and operate, and the maintenance costs are high. To expand to the mid-market, intelligent video analytics vendors are making improvements to the product without compromising performance, making it easier to install and more cost-effective.
Whether a product can penetrate from the high-end market to the mid-market is usually determined by its architecture. In order to penetrate the mid-market, it is often necessary to adopt different methods and to consider certain elements, but usually simplicity is the most important factor. Systems that commonly appear in high-end markets may not be suitable for mid-markets, mainly because these systems are more expensive and more complex in their integration requirements. These markets require flexible, cost-effective, and easy-to-install systems. Remote installation and maintenance functions also play an important role in reducing the technical engineer's travel expenses. Pre-installation and maintenance projects often require the help of these engineers.
The key to entering the mid-market is through system integrators and installation companies. They understand the latest security technologies and have potential goals for upgrading existing databases and video analytics for existing CCTV installations. When dealing with intelligent video analytics, the key challenge for system integrators is that customers desire systems that can be installed quickly, minimizing the lack of monitoring time due to installation, while minimizing the associated learning curve effects due to the desire for ease of operation. .
The mission of smart video providers is to provide easy-to-use video analysis products for the mid-market. A suitable smart video device will be a stand-alone DSP-based video sensor that can be operated independently of other components simply by connecting and configuring the device. This type of architecture allows system integrators and installers to easily upgrade existing monitoring systems with simple video input, output, and remote setup over the network.
Video analysis is easy to use when upgrading from an existing basic camera to a DVR architecture. Security personnel do not need to make any changes to current settings or system operation. By adding video analytics to the CCTV system, security events defined in the system's management and detection zones can be automatically detected, and overlays of detection patterns displayed on the Matrix/DVR. Using the sensor's dry contacts to trigger the DVR to record and mark events can increase the recording capabilities of the DVR, extending the recording time to days or even weeks because only the front and back portions of the alarm film need to be saved and finally backed up.
Not all high-end systems are suitable for the mid-range market. Despite the obvious differences in demand between the high-end and mid-end markets at the beginning of this article, the "lower" market does not have a low demand for performance. However, cost-effectiveness and system performance can be interdependent and work together.
Today's high-performance video analytics systems require complete testing. Manufacturers who have successfully obtained military certifications and national laboratory approvals demonstrate that their products can stand the test of time and are more cost-effective in the mid-market.
In the past five years, with the growing interest in video analytics, many new companies have emerged in the market. Because the performance levels are different and there is no uniform standard, users are advised to consult extensively to find out the performance of the system and install reference materials.
The military provides a perfect test bed for security products.
Because of the diversity of locations and challenges, such as rain, snow, wind, darkness, animals, cloud shadows, slow-moving or disguised intruders, and remote investigations, the military tests, approves new technologies, and provides improved feedback. The ideal organization of opinions.
Many of the technologies available to the public today come from military laboratories and test sites. Obviously, video analysis systems that pass the most demanding tests on the most difficult terrains are suitable for high-risk locations. Standards for the success of military testing include: low false positives; high PoD; good long-term performance (sometimes measured annually); rapid deployment; and simple integration. These factors, together with bulletproof design, are essential for off-the-shelf procurement and installation.
National laboratories provide further in-depth detection criteria, such as specifically targeting high performance and cost-effectiveness. Laboratory accreditation and approval can confirm whether the system is suitable for a variety of applications, including military and high-risk facilities to commercial and public places.
Finally, but perhaps most importantly, references to actual system installations around the world. The more locations where the system is installed, the more diversified manufacturers experience in handling numerous detection situations and reducing false positives.
Sales value, rather than sales equipment, CCTV cameras, monitors, wall sensors, cables, and access controls are standard components of any surveillance system, and intelligent video analytics provides value to existing or new CCTV systems. Therefore, the method of selling intelligent video analysis is different from the method of selling security devices.
Intelligent video analytics is sold to end customers rather than security advisors because it creates value by saving them money from the interests of end customers. If the VA system costs 50,000 U.S. dollars for end customers, it saves manpower, prevents losses and damages, and avoids the loss of 100,000 U.S. dollars a year. This means that the owners actually make a return of 50,000 U.S. dollars in the first year, and each year thereafter Revenue of 100,000 U.S. dollars.
Intelligent video analytics is the most important standard component in the central command center's value chain. It can filter out irrelevant information, detect security threats, mitigate video surveillance tasks, and provide security operators with the data needed to make decisions.
Regardless of the system architecture provided to customers, system integrators and distributors should indicate how to make the VA monitor better, how to save money, and how to allocate resources to other security emergency needs.
Technology Dissemination and Distribution With the rapid deployment of intelligent video analysis systems and their diverse architecture, PC-based embedded software, edge devices, smart encoders, and IP cameras, distribution channels are also increasing, presenting a diversified landscape. The distribution of some architectures is very complicated and not all distributions are applicable to the sales model of existing distributors/distributors. Distributors are usually required to own all the components required by integrators or end customers, for example, PCs, video protection cards, storage devices, displays, etc. They may also be required to integrate these components, which may exceed their expertise and require significant investment. Other architectures can be tricky to install, support, and maintain because they need to communicate with multiple vendors to synthesize opinions and obtain solutions for specific video analytics. For example, a vendor may provide a video encoder or IP camera where smart video analytics are embedded and provided by a third-party vendor.
It is therefore crucial to simplify the video analytics distribution of existing CCTV distributors, system integrators and VARs. This means that according to the customer's needs, it chooses the right architecture and provides the required professional technical knowledge and supports it through design, installation and maintenance. The best way to obtain this expertise is to support distributors for marketing, sales, and support infrastructure through frequent training, white papers, case studies, knowledge bases, and learning centers provided by suppliers.
The feasibility of choice for IR sensors Today, as customers' needs and interests are growing and technology presents significant market potential, many distributors and system integrators are seeking to supplement their products with video analytics. Customers may be interested in learning about the feasibility of traditional video analytics as an alternative to infrared sensors.
Since smart video analytics has made a big leap forward in performance, reliability, and price competitiveness over the past few years, it is natural to consider using a system that not only detects but also visually verifies and identifies security threats. sensor.
What are the advantages of intelligent video analysis compared to IR sensors? The key parameter that needs to be confirmed is the detection area that the VA or infrared sensor can provide. Infrared sensors are less tolerant of changes in climatic conditions and their detection area depends on outdoor environmental issues. For example, an IR sensor operating in the winter may detect intruders within 21 meters, and in the summer, this distance will be reduced to only 10 meters, reducing the detection range by 50%.
Since intelligent video analysis does not rely on comparing the heat emitted by different targets, it is not limited by this defect. No matter how the weather changes, the detection range is constant all the year round. Moreover, since the infrared sensor can only define a single detection area, it cannot distinguish other unrelated areas such as public places. On the other hand, multiple different activity detection zones, inactivity detection zones, and inactive detection zones can be configured for video analytics, as follows:
The activity detection area (or alarm area) refers to the area where an alarm needs to be issued when an event occurs.
The inactive detection zone refers to an area that is within the camera's field of view but ignores activity within that range.
The inactive area (pre-alert area) is defined as an area, when the system detects an activity, but only when the activity enters the active area through that area, an alert is issued. For example, it may be a fence separating public and private areas. In this case, the public area will be defined as an inactive or pre-alarm area, while the private area will be the alert area. Ignoring activities in public areas unless the intruder attempts to climb onto the wall to enter the area of ​​activity, an alert will be issued immediately after this situation occurs. This will allow ignoring harmless activities that occur in the vicinity of private areas, while having higher detection probability, faster response time, and fewer false alarms.
In addition to intruder detection, intelligent video analytics can also enable countless other applications, such as unattended baggage, illegal parking, patrolling, object movement, fence climbing, crossing lines, wrong directions, and more. Some systems will allow multiple applications to use a single camera input at the same time.
Tampering detection plays an important role in the reliability of the system. IR sensors can perform the most basic tamper detection, for example, if a sensor is being tampered with. Video analytics can immediately provide feedback on the status of the system and open a new page of tampering detection. For example, when dark fog obstructs the detection, the system will issue an alarm with poor visibility. Other conditions include loss of video signal, poor video signal, camera position shifting and obstacles. Therefore, any situation that causes a malfunction is more difficult to circumvent video analysis than infrared sensors.
Until recently, the most objection to video analytics was that its installation time was much longer than that of infrared sensors. Due to the advanced nature of video analytics and DSP-based independent combinations, video analytics now require less time and technology to set up, making installation easier.
With higher detection probability, greatly reduced false alarms and lower maintenance requirements, video analytics is definitely a viable alternative to IR sensors. Because video analysis covers a larger area, 35 infrared sensors can be easily replaced by four video encoders or cameras. This equipment has already been deployed in the UK BMW dealership.
In this project, the installation company is using remote IP access to manage and fine-tune the system, thus greatly reducing the need to visit the site. Since its built-in device supports previous dry contact inputs and outputs, there is no need to modify the alarm system. In addition, since alarms are immediately displayed on the screen, security guards can immediately pay close attention to security threats, eliminating the need for end-user training. In this project example, the accuracy and reliability of the alarm are greatly improved, and the instant alarm confirms the use of real-time and recorded video.
The above installation plan is also deployed at the installation site in the United States. The operator will warn the intruder before causing any damage or stealing. This completely overturned the security market and changed the passive operation method into a proactive approach. It fully embodies four aspects of physical security: prevention, detection, defense and defeat.
What impact does it have on the business?
For installation companies, video analysis is more cost-effective and can reduce costs by reducing on-site working time and maintenance. By differentiating your business and enhancing customer satisfaction and loyalty, video analytics can help you gain competitive advantages.
For the end customer, with better detection performance and reliability, video analytics can help reduce overall purchase costs, enhance security effectiveness, and automatically monitor alerts immediately by obtaining timely video confirmation to avoid damage.
For consultants, video analytics applies to a large customer base. The high accuracy and reliability of video analytics reduces design constraints and allows the use of existing and new solution architectures. Video analytics is also in line with future trends: When customers are ready, video analytics can help build a converged IP architecture for customers.
Conclusion The "sensor-level" video analytics architecture is most suitable for the mass market. It is flexible, cost-effective, easy to install, and enables remote setup and maintenance. And after testing and verification by the military and national laboratories, the number of installed installations is large.
Intelligent video analytics have several advantages over general-purpose sensors: it has a wider range of coverage, more applications, is more difficult to avoid, has the same installation time, requires less maintenance, is more resilient to weather changes, and has more Cost-effectiveness.
It is expected that in 2012 it will be close to $5 billion in market value, and intelligent video analytics is reaching its critical value. This is the key point for distributors, system integrators, and installers to determine whether they will ride on the development vehicle. The decision to participate is a breeze because the numbers best describe everything. But which video analysis provider to choose, which of the best architectures, and which one will provide you with reliable product, support, marketing, and sales strategies are challenges. There are market leaders, but there are market followers. Must be carefully studied before selection.
But remember, intelligent video analytics will bring value to all customers. Video analytics will reduce the associated loss of manpower and product, and customers will benefit from this service.
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