Download PDF version Contact company

To grasp the current manufacturing trends and seize the Zeitgeist of Industry 4.0, a new smart IoT industrial park in Hangzhou has been put to use by Dahua Technology, a video surveillance solution provider.

Dahua Smart (IoT) Industrial Park occupies in total 512 acres in Fuyang district of Hangzhou, about 20 minutes’ drive from Dahua headquarters, designed to host 6000 staff (by 2017, 4500 people have been working/living in the 262 acres of phase one area). With topnotch technologies, personnel, materials and other benefits, Dahua’s smart industrial park will bring productivity and quality to a brand new level.

Efficient Information Integration

The automatic production solution based on integrated information system not only grants a higher productivity that significantly shortens the delivery cycle time for Dahua customers, but also a greater flexibility to specialized requests and ever-changing reality.The employment of software such as ERP, PLM, PDM, MES, APS and WMS helps to achieve information integration

The employment of software such as ERP, PLM, PDM, MES, APS and WMS helps to achieve information integration, which, combined with industrial cameras, RFID sensory technologies and automation technologies, can integrate personnel, logistics, works, engineering projects and finance from respective sections of production(preparation, assembly, testing, packaging, inspection, shipment), rendering the whole process visible, traceable and digital.

The mounter serves as a good synecdoche to illustrate the incredible efficiency of the whole production system. The concerning high-end devices (including mounter, printer, automated optical inspection equipment, Ersa reflow soldering tools, etc.) provided by ASM (originally Siemens) achieve a speed among the fastest in the world.

Fast Processing

According to IPC standard, X4iS, the latest high-speed mounter can process 125,000 components per hour, or 35 per second. X35multifunctional mounter can do 54000 components per hour, or 15 per second. A production line in X series can enhance the productivity by 2.7 times while reducing the consumption of energy by 52%, comparing to the original production line in D series under the same conditions.

Dahua Smart Industrial Park provides the great benefit of internal synergy

The faster speed also applies to the development of new molding, since Dahua Smart Industrial Park provides the great benefit of internal synergy, allowing the end-to-end vertical supply chain with marketing, R&D and manufacturing efficiently integrated.

The advanced organizing system is supported by topnotch equipment, such as MAKINO high-speed graphite processing machine, GF CNC, GF WEDM-LS machine, Hexagon 3D Nikon projectors and electronic displays. With a processing accuracy of +/-0.002 to +/-0.005MM, while also supporting CAD / CAM / CAE collaborative development and simultaneous manufacturing, these machines enable Dahua to develop new mechanical molding in as short as 7 days.Higher quality results in less likelihood for products to malfunction especially when they are used in critical situations

Time- And Cost-Saving Solution

By far, this developing system has already produced high precision molding for Lechange Robots, monitoring cameras in TP1-TC6 series, G20 intelligent head-gears, smoke alarm for fire detectors, etc., all of which proving the effectiveness of the system in shortening the development cycle and keeping the competitive edge with new products in the business.

Higher quality saves lots of time and economic costs for clients. Even more importantly, higher quality results in less likelihood for products to malfunction especially when they are used in critical, not-allowed-to-go-wrong situations.

Dahua’s products are guaranteed with a higher quality for two reasons: first, Dahua has set a high standard of accuracy in production; second, with a reliability lab at the production end, Dahua has put together an effectively closed loop for quality control in the manufacturing process.

Accuracy has always been one vital index defining the manufacturing ability because it directly sets the limit to quality and range of products to be produced. Again, take the mounter mentioned above for example: it can process components, in metric size, as small as 03015(0.3x0.15mm), with a +-0.025mm SMD precision (within the 3-stigma range), boasting world leading performance and capable of covering basically all types of components used in the industry.Dahua industrial camera plays an important role in IoT, providing a closed loop for quality control in the manufacturing process

Enhanced Vision And Intelligent Analytics

Dahua industrial camera plays an important role in IoT, providing a closed loop for quality control in the manufacturing process, in which all materials, personnel and devices are connected and products are traceable to the specific production line and precise time it got made.

Boasting a variety of functions, Dahua industrial cameras are used in different sections of production, enabling automatic assembly, high-precision graphic inspection and product flaw inspection.

Through high-definition machine vision, Dahua industrial cameras automatically and precisely locate the components, limiting the assembly error to micron level. Equipped with enhanced vision and intelligent analytics algorithm, the industrial camera can spontaneously detect and recognize flaws in the performance and outlook of products, thus promising not only the volume of cameras production but also the steady quality of each and every one of them.In the future phase, this industrial park is expected to be more intelligent to enable a safer society and smarter living

Safe Society And Smart Living

Reliability must be put to test, in R&D as well as in manufacturing process. The reliability lab at the production end serves to assure quality by randomly taking products from production lines and put them into reliability tests simulating falling, high/low temperature, worn-out conditions, which are conducted by industry leading testing equipment in the lab. Thus what’s conceived in R&D is confirmed from the production line, the synergy of both ends promising better products (for common use or specialized needs).

This lab is also responsible for testing all the raw materials. Thanks to the aforementioned information integration, all tests are automatically conducted, recorded and traceable.

In conclusion, Dahua Smart (IoT) Industrial Park is endowed with the latest and world leading manufacturing equipment/system boasting high level automation and intelligence, which is essential to satisfy the ever higher demands from clients in terms of delivery time, specialized use and quality.

There is still great potential to this new smart industrial park. It is literally only in its phase one. And in the future phase, it is expected to be more intelligent, to realize client-centered flexible production and to enable a safer society and smarter living.

Share with LinkedIn Share with Twitter Share with Facebook Share with Facebook
Download PDF version Download PDF version

In case you missed it

How Have Security Solutions Failed Our Schools?
How Have Security Solutions Failed Our Schools?

School shootings are a high-profile reminder of the need for the highest levels of security at our schools and education facilities. Increasingly, a remedy to boost the security at schools is to use more technology. However, no technology is a panacea, and ongoing violence and other threats at our schools suggest some level of failure. We asked this week’s Expert Panel Roundtable: How have security solutions failed our schools and what is the solution?

Why Visualization Platforms Are Vital For An Effective Security Operation Center (SOC)
Why Visualization Platforms Are Vital For An Effective Security Operation Center (SOC)

Display solutions play a key role in SOCs in providing the screens needed for individuals and teams to visualize and share the multiple data sources needed in an SOC today. Security Operation Center (SOC) Every SOC has multiple sources and inputs, both physical and virtual, all of which provide numerous data points to operators, in order to provide the highest levels of physical and cyber security, including surveillance camera feeds, access control and alarm systems for physical security, as well as dashboards and web apps for cyber security applications. Today’s advancements in technology and computing power not only have increasingly made security systems much more scalable, by adding hundreds, if not thousands, of more data points to an SOC, but the rate at which the data comes in has significantly increased as well. Accurate monitoring and surveillance This has made monitoring and surveillance much more accurate and effective, but also more challenging for operators, as they can’t realistically monitor the hundreds, even thousands of cameras, dashboards, calls, etc. in a reactive manner. Lacking situational awareness is often one of the primary factors in poor decision making In order for operators in SOC’s to be able to mitigate incidents in a less reactive way and take meaningful action, streamlined actionable data is needed. This is what will ensure operators in SOC truly have situational awareness. Situational awareness is a key foundation of effective decision making. In its simplest form, ‘It is knowing what is going on’. Lacking situational awareness is often one of the primary factors in poor decision making and in accidents attributed to human error. Achieving ‘true’ situational awareness Situational awareness isn’t just what has already happened, but what is likely to happen next and to achieve ‘true’ situational awareness, a combination of actionable data and the ability to deliver that information or data to the right people, at the right time. This is where visualization platforms (known as visual networking platforms) that provide both the situational real estate, as well as support for computer vision and AI, can help SOCs achieve true situational awareness Role of computer vision and AI technologies Proactive situational awareness is when the data coming into the SOC is analyzed in real time and then, brought forward to operators who are decision makers and key stakeholders in near real time for actionable visualization. Computer vision is a field of Artificial Intelligence that trains computers to interpret and understand digital images and videos. It is a way to automate tasks that the human visual system can also carry out, the automatic extraction, analysis and understanding of useful information from a single image or a sequence of images. There are numerous potential value adds that computer vision can provide to operation centers of different kinds. Here are some examples: Face Recognition: Face detection algorithms can be applied to filter and identify an individual. Biometric Systems: AI can be applied to biometric descriptions such as fingerprint, iris, and face matching. Surveillance: Computer vision supports IoT cameras used to monitor activities and movements of just about any kind that might be related to security and safety, whether that's on the job safety or physical security. Smart Cities: AI and computer vision can be used to improve mobility through quantitative, objective and automated management of resource use (car parks, roads, public squares, etc.) based on the analysis of CCTV data. Event Recognition: Improve the visualization and the decision-making process of human operators or existing video surveillance solutions, by integrating real-time video data analysis algorithms to understand the content of the filmed scene and to extract the relevant information from it. Monitoring: Responding to specific tasks in terms of continuous monitoring and surveillance in many different application frameworks: improved management of logistics in storage warehouses, counting of people during event gatherings, monitoring of subway stations, coastal areas, etc. Computer Vision applications When considering a Computer Vision application, it’s important to ensure that the rest of the infrastructure in the Operation Center, for example the solution that drives the displays and video walls, will connect and work well with the computer vision application. The best way to do this of course is to use a software-driven approach to displaying information and data, rather than a traditional AV hardware approach, which may present incompatibilities. Software-defined and open technology solutions Software-defined and open technology solutions provide a wider support for any type of application the SOC may need Software-defined and open technology solutions provide a wider support for any type of application the SOC may need, including computer vision. In the modern world, with everything going digital, all security services and applications have become networked, and as such, they belong to IT. AV applications and services have increasingly become an integral part of an organization’s IT infrastructure. Software-defined approach to AV IT teams responsible for data protection are more in favor of a software-defined approach to AV that allow virtualised, open technologies as opposed to traditional hardware-based solutions. Software’s flexibility allows for more efficient refreshment cycles, expansions and upgrades. The rise of AV-over-IP technologies have enabled IT teams in SOC’s to effectively integrate AV solutions into their existing stack, greatly reducing overhead costs, when it comes to technology investments, staff training, maintenance, and even physical infrastructure. AV-over-IP software platforms Moreover, with AV-over-IP, software-defined AV platforms, IT teams can more easily integrate AI and Computer Vision applications within the SOC, and have better control of the data coming in, while achieving true situational awareness. Situational awareness is all about actionable data delivered to the right people, at the right time, in order to address security incidents and challenges. Situational awareness is all about actionable data delivered to the right people Often, the people who need to know about security risks or breaches are not physically present in the operation centers, so having the data and information locked up within the four walls of the SOC does not provide true situational awareness. hyper-scalable visual platforms Instead there is a need to be able to deliver the video stream, the dashboard of the data and information to any screen anywhere, at any time — including desktops, tablets phones — for the right people to see, whether that is an executive in a different office or working from home, or security guards walking the halls or streets. New technologies are continuing to extend the reach and the benefits of security operation centers. However, interoperability plays a key role in bringing together AI, machine learning and computer vision technologies, in order to ensure data is turned into actionable data, which is delivered to the right people to provide ‘true’ situational awareness. Software-defined, AV-over-IP platforms are the perfect medium to facilitate this for any organizations with physical and cyber security needs.

Securing Mobile Vehicles: The Cloud and Solving Transportation Industry Challenges
Securing Mobile Vehicles: The Cloud and Solving Transportation Industry Challenges

Securing Intelligent Transportation Systems (ITS) in the transportation industry is multi-faceted for a multitude of reasons. Pressures build for transit industry players to modernise their security systems, while also mitigating the vulnerabilities, risks, and growth-restrictions associated with proprietary as well as integrated solutions. There are the usual physical security obstacles when it comes to increasingly integrated solutions and retrofitting updated technologies into legacy systems. Starting with edge devices like cameras and intelligent sensors acquiring video, analytics and beyond, these edge devices are now found in almost all public transportation like buses, trains, subways, airplanes, cruise lines, and so much more. You can even find them in the world’s last manually operated cable car systems in San Francisco. The next layer to consider is the infrastructure and networks that support these edge devices and connect them to centralized monitoring stations or a VMS. Without this layer, all efforts at the edge or stations are in vain as you lose the connection between the two. And the final layer to consider when building a comprehensive transit solution is the software, recording devices, or viewing stations themselves that capture and report the video. The challenge of mobility However, the transportation industry in particular has a very unique challenge that many others do not – mobility. As other industries become more connected and integrated, they don’t usually have to consider going in and out or bouncing between networks as edge devices physically move. Obviously in the nature of transportation, this is key. Have you ever had a bad experience with your cellular, broadband or Wi-Fi at your home or office? You are not alone. The transportation industry in particular has a very unique challenge that many others do not – mobility Can you trust these same environments to record your surveillance video to the Cloud without losing any frames, non-stop 24 hours a day, 7 days a week, 365 days a year? To add to the complexity – how do you not only provide a reliable and secure solution when it’s mobile, traveling at varying speeds, and can be in/out of coverage using various wireless technologies? Waiting to upload video from a transport vehicle when it comes into port, the station, or any centralized location is a reactive approach that simply will not do any longer. Transit operations require a more proactive approach today and the ability to constantly know what is going on at any given time on their mobile vehicles, and escalate that information to headquarters, authorities, or law enforcement if needed; which can only occur with real-time monitoring. This is the ultimate question when it comes to collecting, analyzing, and sharing data from mobile vehicles – how to get the video from public transportation vehicles alike to headquarters in real time! Managing video data In order to answer this question, let’s get back to basics. The management and nature of video data differs greatly from conventional (IT) data. Not only is video conducted of large frames, but there are specific and important relationships among the frames and the timing between them. This relationship can easily get lost in translation if not handled properly. This is why it’s critical to consider the proper way to transmit large frames while under unstable or variable networks. The Internet and its protocols were designed more than two decades ago and purposed for conventional data. Although the Internet itself has not changed, today’s network environments run a lot faster, expand to further ranges, and support a variety of different types of data. Because the internet is more reliable and affordable than in the past some might think it can handle anything. However, it is good for data, but not for video. This combination makes it the perfect time to convert video recording to the Cloud! Video transmission protocol One of the main issues with today’s technology is the degradation of video quality when transmitting video over the Internet. ITS are in dire need for reliable transmission of real-time video recording. To address this need a radical, yet proven, video transmission protocol has recently been introduced to the market. It uses AI technology and to adapt to different environments in order to always deliver high quality, complete video frames. This protocol, when equipped with encryption and authentication, enables video to be transmitted reliably and securely over the Internet in a cloud environment. One of the main issues with today’s technology is the degradation of video quality when transmitting video over the Internet Finally, transportation industry has a video recording Cloud solution that is designed for (massive) video that can handle networks that might be experiencing high error rate. Such a protocol will not only answer the current challenges of the transportation industry, but also make the previously risky Cloud environment safe for even the most reserved environments and entities. With revolutionary transmission protocols, the time is now to consider adopting private Cloud for your transportation operations.