Editor’s picks

Cutting through the hype: AI and ML for the security space
Cutting through the hype: AI and ML for the security space

Today’s organisations face numerous diverse threats to their people, places and property, sometimes simultaneously. Security leaders now know all too well how a pandemic can cripple a company’s ability to produce goods and services, or force production facilities to shut down, disrupting business continuity. For example, a category three hurricane barreling towards the Gulf of Mexico could disable the supplier’s facilities, disrupt the supply chain and put unexpected pressure o...

Video surveillance as a service (VSaaS) from an integrator and user perspective
Video surveillance as a service (VSaaS) from an integrator and user perspective

Technology based on the cloud has become a popular trend. Most IT systems now operate within the cloud or offer cloud capabilities, and video surveillance is no exception: virtually every major hardware and software vendor offers cloud-based services. Users benefit from the cloud due to its numerous advantages, such as ease of implementation, scalability, low maintenance costs, etc. Video surveillance as a service (VSaaS) offers many choices, so there is an optimal solution for each user. Howev...

What career opportunities await the next generation in security?
What career opportunities await the next generation in security?

A new generation of security professional is waiting in the wings. They will be faced with unprecedented challenges, as they seek to transform the security marketplace to the ‘next level’. Technology changes ensure the market will be very different 10 years from now and the fresh labour pool will need to be able to meet the host of new challenges. We asked our Expert Panel Roundtable: What exciting career opportunities in the security industry await the next generation?

Mitigating the total risks and cost of a physical security incident
Mitigating the total risks and cost of a physical security incident

Owning and operating an entertainment venue comes with increasing levels of risk – whether it’s during the current pandemic or in a post-pandemic world. With the additional challenge of safe re-opening comes increased levels of social unrest, emboldened and unruly patrons, and increasing threats from weapons and other prohibited materials. The venue owners and operators have an obligation to keep patrons and employees safe from these kinds of security threats, while not negatively...

Round table discussions

What career opportunities await the next generation in security?
What career opportunities await the next generation in security?

A new generation of security professional is waiting in the wings. They will be faced with unprecedented challenges, as they seek to transform the security marketplace to the ‘next level’. Technology changes ensure the market will be very different 10 years from now and the fresh labour pool will need to be able to meet the host of new challenges. We asked our Expert Panel Roundtable: What exciting career opportunities in the security industry await the next generation?

Who should provide security solutions – the manufacturer or the integrator?
Who should provide security solutions – the manufacturer or the integrator?

Assembling security solutions has long been considered the role of the integrator, whose role is to pick and choose the best technology tools and then to assemble the complete system. However, more manufacturers are offering pre-integrated end-to-end solutions that include multiple elements from the same manufacturer, designed to work seamlessly together. At the end of the day, end users want to know: Whose role is it to provide security ‘solutions’ – the manufacturer or the integrator? We asked our Expert Panel Roundtable.

What are the new developments in facial recognition?
What are the new developments in facial recognition?

Facial recognition is a mature technology that continues to change and evolve. New innovations such as artificial intelligence (AI) are expanding facial recognition capabilities, even as privacy concerns, though often misguided, undermine wider acceptance in the market. We asked this week’s Expert Panel Roundtable: What are the new developments in facial recognition?

Case studies

Dahua TechMonth features WizMind and 3 practical monitoring applications of human-based video metadata
Dahua TechMonth features WizMind and 3 practical monitoring applications of human-based video metadata

In a surveillance monitoring context, video metadata refers to the structured details that the user can extract from given video footage. It is data that provides information about other data – a “data about data” in short. Human-based video metadata, as its name suggests, are data derived from human targets in the monitored scene. It can be utilised based on user’s requirements to significantly enhance the management and operation of various application scenarios, while carefully maintaining people’s privacy at the same time. To give some insights into its practical usage, here are three conventional applications of human-based video metadata to adopt based during monitoring needs: 1) Searching targets One of the most common applications of human-based video metadata is for target searching after an event. Intelligent surveillance devices, such as the Dahua WizMind products, offer a Quick Target Search function that can locate suspects in time using their physical attributes. Irrelevant targets in the captured images are filtered out by the back-end devices (IVSS, NVR) or by the platform Target attributes include beard, glasses, mask, hat, etc., which are continuously being developed and increased to meet the requirements of various application scenarios. Irrelevant targets in the captured images are also filtered out by the back-end devices (IVSS, NVR) or by the platform. It can capture up to 640* targets (with attributes) per second with an impressive detection rate of 98%*. Generating statistics In addition, another useful application of human-based video metadata technology is for target statistics. WizMind counts in real time the human targets in the monitored scene and filters them based on target category and direction. The directions include A>B, B>A, or A<>B. And to top it up, it can also generate reports by year, month, and day. It can capture up to 96** objects per frame, providing a detection rate of 98%** and an accuracy rate of 96%**. 2) Detect PPE wearing WizMind can detect wearing PPEs in construction sites including safety hats, protective vests, face masks, and glasses Wearing personal protective equipment or PPE is a must on any construction site. Depending on the scope of the project, monitoring the proper wearing of PPEs on the site could be a tough challenge to implement. The latest PPE Detection Technology of Dahua WizMind can detect wearing of commonly used PPEs in construction sites including safety hats, protective vests, face masks, and glasses. It can even detect the colour of the uniforms (top and bottom) of workers. When a violation has been detected, the site supervisor or manager can be notified via the DMSS mobile app. Similar to target searching and statistics functions, it also offers a detection rate of 98%**, with an accuracy rate of 96%**. 3) Aid city road planning Who would have thought that aside from vehicle-related data, statistics related to people on the street can also be useful in planning city roads? By collecting attributes of pedestrians, directions, and periods, local road planning departments can design better roads tailored for road users and commuters. One good example is the Dahua solution developed for a local organisation in Ireland. Aside from motor vehicles and non-motor vehicles, metadata of pedestrians are also captured on main city roads and streets around plazas. These data are then securely transferred to an SFTP server for further data analysis. The data summary is relayed to the local transportation department to help them plan and manage streets more efficiently. Key Takeaways Human-based video metadata can be effectively utilised to optimise the monitoring operation of various application scenarios. Metadata based on human targets can be used to search suspects after an event, and to generate accurate statistics of the people in the monitored scene. Also, these structured data can be used to detect proper wearing of PPEs in a particular site, and help local transportation departments in planning and maintaining city roads to benefit the general public.

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