Dahua Technology, a solution provider in the global video surveillance industry, held a new product launch & press conference at the Ritz-Carlton Hotel in Shenzhen, one day before the grand opening of the 16th China Public Security Expo (CPSE 2017).

Mr. Fu Liquan, Chairman of the Board

At the press conference, Dahua Chairman, Mr. Fu Liquan, together with Dahua CEO, Mr. Li Ke, and Dahua VP, Mr. Michael Chen, Mr. Zhang Xingming, and Mr. Zhang Wei, held an in-depth dialogue with well-known industry experts, business elites and customers represented by Professor Jin Cheng, doctoral supervisor of Fudan University, Mr. Zhang Yu, CTO, IoT Department of Intel China and Deputy Captain Long Haiyong, command police brigade of the Traffic Police Detachment of Liuzhou City Public Security Bureau, Guangxi Province. They discussed how to capitalise on the rise of artificial intelligence, which led to the thoughts of industrial ecosystem.

Chairman Mr. Fu Liquan said: “Thanks to the support of customers and partners, Dahua has established core competency in video centric technologies. Let’s strengthen our partnership, focus on Artificial Intelligence and build an Industrial Ecosystem to capitalise on the emerging trend together.”

"Thanks to the support of customers and partners, Dahua has established core competency in video centric technologies"

Mr. Fu Liquan started by extending his gratitude to all guests and Dahua partners and customers all over the world. It is with their trust and support that Dahua has achieved so much.

Era of smart IoT

Throughout the years, Dahua has insisted on innovation-driven development and has successfully accomplished the transition from analogue to digital HD and to intelligent video. From products to solutions then to operating services, Dahua has made remarkable achievements.

Facing the unprecedented opportunity presented by the era of smart IoT, Dahua has been building up core capabilities, exploring adjacent technologies and business sectors, and integrating the business value chain. Dahua technology, as a video-centric smart IoT solution and service provider, will pragmatically drive the implementation of new technologies to help customers to take advantage of the market transition.

Dahua will further consolidate and enhance its position in smart city and commercial markets, make a full-scale entry to the consumer market, promote the development of the Dahua brand overseas, and establish a global sales and service infrastructure. Dahua will partner with leading companies in the respective territory to form an industrial ecosystem focus on AI technology and the implementation in smart IoT, to meet the technical and business challenges brought by the disruptive innovation in the era of Artificial Intelligence.

Artificial intelligence technology has achieved
the automatic recognition
and analysis of image data

A new frontier in artificial intelligence

During the event, Fudan University Professor Jin Cheng indicated that high definition video surveillance is a key source of data used in city security, using the case of security coverage for large-scale international events. Artificial intelligence technology has achieved the automatic recognition and analysis of image data. And this is only the beginning – future artificial intelligence will evolve from sensing and perception to cognition and complete intelligence, finally culminating in the arrival of creative intelligence.

Intel has recently released its newest 10nm chip. Mr. Zhang Yu explained that the security industry is becoming an important field in artificial intelligence industrialization driven by the development trends in artificial intelligence technology. Based on the strengths of its chip technology, Intel is developing long-term partnerships with global security industry players such as Dahua, to collaborate in the enablement of a “thinking” smart city.

Liuzhou city is a national role model for city traffic management. Captain Long Haiyong presented the development and current application of Liuzhou’s intelligent traffic management system, illustrated how innovative Dahua technologies such as automatic capture, smart recognition, and big data have promoted the informatisation of the police work, which has played an important role in the enhancement of city traffic management capabilities.

Artificial intelligence drives the future

In the new product release session, Mr. Zhang Xingming, Dahua VP, General Manager of Dahua R&D Center, articulated the fundamental changes brought by AI in terms of improving business productivity and transforming business value. Dahua is going to drive the industry transformation by building a “Cloud Ecosystem for Smart Future” 

Artificial intelligence technology has achieved the automatic recognition and analysis of image data
Future artificial intelligence will evolve from sensing and perception to cognition and complete intelligence

“Cloud Ecosystem” is tightly coupled with Dahua Video Cloud, which creates value for customers by proactively working with strategic partners to deliver end-to-end total solutions. In face of the challenges posed by the smart IoT era, Dahua Video Cloud has released its line of smart storage products which integrate intelligence with cloud storage and video surveillance platform technologies into a single product.

Dahua’s transportation big data platform can predict the status of traffic 15 minutes into the future, achieving traffic status analysis and optimising traffic signal management. Dahua’s multidimensional big data platform merges video, RFID, facial, vehicle, and other types of data, and creates complete individual profiles in real time according to factors such as space and time, social relationship, and other characteristics. Dahua has also released Magic Cube, which transforms Dahua Video Cloud capabilities into a microservice capable of achieving unified app store publishing, unified management, and unified interface. It enables its partners to develop a complete solution in much shorter time.

Dahua seamlessly integrates cloud and edge computing to redefine “end-to-end computing” in the era of AI

Four factors of smart future

“Smart Future” is exerting full power in four factors: computing, intelligence, sensing and ecosystem, to promote industrial upgrading and transformation. Dahua seamlessly integrates cloud and edge computing to redefine “end-to-end computing” in the era of AI.

Dahua’s “DeepSense” AI-powered product series is based upon the advantages of edge computing, such as narrow bandwidth, low latency, high security, good reliability and low cost. “Sharp eye” all-in-1 camera adopts MOVIDIUS solution, realizing full scale capture of details and supporting real-time comparison of 8 face attributes and 8 body characteristics in a database up to 1 million records.

The “Smart” series of traffic camera is the world’s first to use global shutter CMOS and the industry’s biggest 9 Mega pixel sensor. “DeepSense” series NVR uses NVIDIA TX1 and INTEL FPGA solution to realise fusion analysis, comparison, retrieval and storage, supporting 32-channel real-time video structuring and real-time comparison of a 100,000-face database. “DeepSense” series video structure server uses NVIDIA P4 solution, supporting 192 real-time video structuring and 256-channel real-time comparison of a 100 million-face database.

Dahua has also launched its first AI-powered smart X-ray detection server, which automatically identifies control items such as knives, umbrellas, batteries, and liquids, realising a substantial increase in detection rate and reduction in operating costs.

Portrait big data

Portrait big data has also launched, which uses the time and space information of a target person’s trajectory and face attribute to identify people accompanying the target. Human body posture analysis adopts joint point positioning technology to achieve non-face people detection and search.

The newly-launched ultra-high-resolution “Guardian” panoramic series has a maximum resolution of 32 Mega Pixels. It utilises innovative stitching fusion technology to solve the technical problem of monitoring super large scenes. The Aurora camera series adopts SONY 4.63μm starlight big pixel technology and multi-spectral imaging technology.

In the field of coaxial HD, Dahua has launched HDCVI 4.0, which supports 4K real-time transmission, audio high fidelity and integrated IoT sensing technology

Innovative fusion algorithm is used to calibrate colour signal and brightness signal of each spectrum for noise reduction and to perform image fusion processing. It realises over 20 times enhancement of the low-light imaging performance, subverting the colour imaging visual experience in the lowest illumination. In the field of coaxial HD, Dahua has launched HDCVI 4.0, which supports 4K real-time transmission, audio high fidelity and integrated IoT sensing technology.

Advanced converged architecture

Most importantly, Mr. Zhang introduced Dahua’s advanced converged architecture X80 product which converges computer, switch, storage, AI computation, and business logic in a single box. It supports 130 million person/day face modelling, 800 channels of real time video structuring, 20 billion people/second real time face comparison to meet the needs of metropolitan of up to 10 million population. It reduces power consumption by 40% and space occupation by 60%. It is undoubtedly “the strongest thinking machine” for smart cities, smart businesses, and smart living.

Dahua’s leadership team took to the stage to address questions from the press surrounding Dahua’s plan to embrace challenges brought by AI, strategic resources placement, new business development and overseas business targets in the next year. Dahua will continue to focus on technology innovation to drive growth, with its core competency in “audio, visual, smart, control” to help improve city safety, business productivity and a good experience of smart living for consumers.

With a mission of “Enabling a safer society and smarter living”, Dahua will continue to focus on “Innovation, Quality, and Service”, to serve partners and customers around the world.

Note: Some products are not available in all countries and districts at the time of launch.

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How artificial intelligence (AI) is changing video surveillance today
How artificial intelligence (AI) is changing video surveillance today

There’s a lot of excitement around artificial intelligence (AI) today – and rightly so. AI is shifting the modern landscape of security and surveillance and dramatically changing the way users interact with their security systems. But with all the talk of AI’s potential, you might be wondering: what problems does AI help solve today? The need for AI The fact is, today there are too many cameras and too much recorded video for security operators to keep pace with. On top of that, people have short attention spans. AI is a technology that doesn’t get bored and can analyse more video data than humans ever possibly could.AI is a technology that doesn’t get bored and can analyse more video data than humans ever possibly could It is designed to bring the most important events and insight to users’ attention, freeing them to do what they do best: make critical decisions. There are two areas where AI can have a significant impact on video surveillance today: search and focus of attention. Faster search Imagine using the internet today without a search engine. You would have to search through one webpage at a time, combing through all its contents, line-by-line, to hopefully find what you’re looking for. That is what most video surveillance search is like today: security operators scan hours of video from one camera at a time in the hope that they’ll find the critical event they need to investigate further. That’s where artificial intelligence comes in. The ability of AI to reduce hours of work to mere minutes is especially significant when we think about the gradual decline in human attention spans With AI, companies such as Avigilon are developing technologies that are designed to make video search as easy as searching the internet. Tools like Avigilon Appearance Search™ technology – a sophisticated deep learning AI video search engine – help operators quickly locate a specific person or vehicle of interest across all cameras within a site. When a security operator is provided with physical descriptions of a person involved in an event, this technology allows them to initiate a search by simply selecting certain descriptors, such as gender or clothing colour. During critical investigations, such as in the case of a missing or suspicious person, this technology is particularly helpful as it can use those descriptions to search for a person and, within seconds, find them across an entire site. Focused attention           The ability of AI to reduce hours of work to mere minutes is especially significant when we think about the gradual decline in human attention spans. Consider all the information a person is presented with on a given day. They don’t necessarily pay attention to everything because most of that information is irrelevant. Instead, they prioritise what is and is not important, often focusing only on information or events that are surprising or unusual. Security operators scan hours of video from one camera at a time in the hope that they’ll find the critical event they need to investigate further Now, consider how much information a security operator who watches tens, if not hundreds or thousands of surveillance cameras, is presented with daily. After just twenty minutes, their attention span significantly decreases, meaning most of that video is never watched and critical information may go undetected. By taking over the task of "watching" security video, AI technology can help focus operators’ attention on events that may need further investigation. As AI technology evolves, the rich metadata captured in surveillance video will add even more relevance to what operators are seeing For instance, technology like Avigilon™ Unusual Motion (UMD) uses AI to continuously learn what typical activity in a scene looks like and then detect and flag unusual events, adding a new level of automation to surveillance. This helps save time during an investigation by allowing operators to quickly search through large amounts of recorded video faster, automatically focusing their attention on the atypical events that may need further investigation, enabling them to more effectively answer the critical questions of who, what, where and when. As AI technology evolves, the rich metadata captured in surveillance video – like clothing colour, age or gender – will add even more relevance to what operators are seeing. This means that in addition to detecting unusual activities based on motion, this technology has the potential to guide operators’ attention to other “unusual” data that will help them more accurately verify and respond to a security event. The key to advanced security When integrated throughout a security system, AI technology has the potential to dramatically change security operations There’s no denying it, the role of AI in security today is transformative. AI-powered video management software is helping to reduce the amount of time spent on surveillance, making security operators more efficient and effective at their jobs. By removing the need to constantly watch video screens and automating the “detection” function of surveillance, AI technology allows operators to focus on what they do best: verifying and acting on critical events. This not only expedites forensic investigations but enables real-time event response, as well. When integrated throughout a security system, AI technology has the potential to dramatically change security operations. Just as high-definition imaging has become a quintessential feature of today’s surveillance cameras, the tremendous value of AI technology has positioned it as a core component of security systems today, and in the future.

8 tips for visiting a large security trade show
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Security trade fairs can be daunting for attendees. At big shows like IFSEC International and Security Essen, there can be hundreds of physical security manufacturers and dealers vying for your attention. Stands are sometimes spread out across multiple halls, often accompanied by a baffling floor plan. As the scope of physical security expands from video surveillance and access control to include smart building integrations, cyber security and the Internet of Things, there is an increasing amount of information to take in from education sessions and panels. Here, SourceSecurity.com presents eight hints and tips for visitors to make the most out of trade shows: 1. Outline your objectives. As the famous saying goes, “Failing to plan is planning to fail!” Before you plan anything else, ensure you know what you need to achieve at the show. By clearly noting your objectives, you will be able to divide your time at the show appropriately, and carefully choose who you speak to. 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By the time the last afternoon of the show comes around, many companies are already packing up their stand and preparing to head home. When scheduling fixed meetings, keep the floor plan at hand to avoid booking consecutive meetings at opposite ends of the venue. This will ensure you can walk calmly between stands and don’t arrive at an important meeting feeling flustered! Look for panels and seminars which address the specific needs of your project, or which will contribute to your professional growth 5. Make time for learning If you’re on a mission to expand your knowledge in a given area, check the event guide beforehand to note any education sessions you may want to attend. Look for panels and seminars which address the specific needs of your project, or which will contribute to your professional growth. This is one of the best opportunities you will have to learn from industry leaders in the field. 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