In my coverage of China Tariffs impacting the security industry over four recent articles, products on the tariff schedules routinely integrated into security solutions included burglar and fire alarm control and transmission panels, video surveillance lenses, HDTV cameras used for broadcast use cases and fiber optic media converters.

The general ‘callout’ of ADP (Automatic Data Processing) devices and peripherals technically includes servers, workstations and microcomputers, all of which are commonly used to support security solutions. The underperformance, from June 15 to August 24, of U.S. stocks with high revenue-exposure to China, and that of Chinese stocks with high revenue-exposure to the United States was significant and almost identical at 3.2%, significant losses to some investors already involved in security industry M&A activity.

Significant Public Safety

Facial Recognition (FR) vendors leveraging AI expanded their market focus to retail and public safety

While it was not apparent that practitioners’ security program budgets kept pace with the growth of the more popular solution providers like video surveillance and cyber security, the ICT industries supporting the security economy continued to expand, especially in wireless and wired infrastructure, including preparations for 5G wireless rollouts. These omnipresent technologies drove significant public safety, smart city and public venue projects in 2018.

Facial Recognition (FR) vendors leveraging AI expanded their market focus to retail and public safety. In 2018, virtually every public presentation, webinar and published Q&A on social media monitoring and facial recognition technologies I worked on, involved significant pushback from privacy advocates, almost to the point of alarmism.

Massive Risk Reduction

Several solution providers in these areas have made significant strides on data protection, accuracy, powered by AI and documented crime reduction cases; however, this real news is quickly shadowed by privacy advocates, seemingly ignoring massive risk reduction, especially in the case of active assailants and gang-related crime. Will FR become mainstream? The cautious security industry may take a cue from the maverick retail industry, sports venue and VIP verification solution providers that grew in 2018. 2019 trends: presupposition or repudiation; winners and losers.

Several solution providers in these areas have made significant strides on data protection
Chinese tariffs have had a huge impact on the security industry, which can be seen from changes to U.S and Chinese stocks 

Although technology adoption forecasting is inexact, there are definitive opportunities in the security industry born on necessity. With the widespread problem of false alarm transmission and inability for first responders to ‘be everywhere,’ developers of solutions that provide automated verification and alternative security incident detection are expected to become mainstream.

Promising Detection Systems

The use of AI, NLP, LiDAR, UAS (Unmanned Aerial Vehicles aka drones) with surveillance and thermal imaging will grow, mostly due to higher acceptance in other industries like autonomous vehicles, rail safety, terrain and post devastation mapping/rescue. However, legacy ‘listing’ or certification organizations will be forced to make an important decision for their own survival: work toward integrating these promising detection systems into acceptance by insurance, licensing and standards development organizations.

2019’s ‘true’ Industrial Philanthropists will be needed to fund early warning tech for firefighters and the presence of active assailants

2019’s ‘true’ industrial philanthropists will be needed to fund early warning tech for firefighters and the presence of active assailants. For these use cases, 5G infrastructure rollouts, FR acceptance, lower cost perimeter detection and long range object and fire recognition by LiDAR and Thermal imaging will all be watched closely by investors. Should public agencies and philanthropical solution providers in the security industry cross paths, we may just yet see a successful, lifesaving impact.

Cyber Risk Profile

The ‘Digital twin’ refers to a digital replica of physical assets (physical twin), processes, people, places, systems and devices that can be used for various purposes. Your ‘Security Digital Twin’ has a similar physical and cyber risk profile, either through common threats, similar assets or both. Good news: managing your risk, protecting assets and securing your facilities in 2019 will get easier as security digital twin profiles will grow in maturity, while keeping their data sources private. This will be accelerated by the maturity of AI-based, auto-generated visualizations and image recognition, that happens to also drive the FR solutions.

The 5G wireless infrastructure market is emerging as far more of a quantum leap in connectivity, like ‘wireless fiber optics’ performance, than an upgrade to 4G LTE. The 5G infrastructure market will be worth $2.86 billion by 2020 and $33.72 billion by 2026, growing at a compound annual growth rate (CAGR) of 50.9%.

Intelligent Applications

The explosion of ingested voice, video, and meta-data, the interconnectivity of devices, people and places, and the integration of intelligent applications into expanding ecosystems all require faster communications. To be more accurate, 5G rollouts will accelerate in 2019; however, current project funding will include and be impacted by future enterprise security connectivity: 5G and FWA (Fixed Wireless Access).

Quite simply put, larger solution providers are gently coaxing practitioners into seemingly ‘open systems
5G rollouts will accelerate in 2019; however, current project funding will include and be impacted by future enterprise security connectivity

Quite simply put, larger solution providers are gently coaxing practitioners into seemingly ‘open systems;’ the negative discovery during an M&A process, audit or integration with a smart city’s public/private partnerships will continue to be revealed, and related industries will force reform. Autonomous things will be enabled by AI and image recognition. With few affordable rollouts of security robots and outdoor unmanned ground vehicles (UGV) that leveraged platforms popular with research and even NASA, the autonomous security robot was mostly MIA from a security practitioner’s program in 2018.

Perimeter Intrusion Detection

One platform was even accused of intimidating homeless people in a public place, at a major city. Industries mutually beneficial are often unaware of each other; this will change gradually: one major domestic airport is currently evaluating a UGV platform performing perimeter intrusion detection, runway weather conditions and potential aircraft taxiing dangers. The platform is being used largely in transportation research, yet offers significant opportunities to the security industry.

Research firm Gartner estimates that 70% of today’s technology products and services can be enhanced with ‘multi-experience’-based VR/AR/MR

The ‘immersive experience’ of virtually any security or threat detection is a twist on virtual/augmented/mixed reality (VR/AR/MR) with additional sensory features. Although VR/AR/MR is well underway in other industries, there are several companies with solutions like VR-based active assailant training that could provide a fighting chance for practitioners, employees, visitors, faculty and children. Research firm Gartner estimates that 70% of today’s technology products and services can be enhanced with ‘multi-experience’-based VR/AR/MR.

Security Ecosystem Members

Not necessarily MIA, but of special mention is the need of security and safety practitioners to prioritize communications systems over ‘nice to have’ expansive video surveillance systems for mass casualty threats. This will eventually improve with 5G for Enterprise solution rollouts.

At the past GSX and upcoming CES Technology trade shows, a new roundup of technologies is discovered: a wider diversity of protection promise to save ASIS members on their technical security program is realized.

With each of the ‘winners,’ (5G, AI, NLP, LiDAR, UAS [Unmanned Aerial Vehicles aka drones], thermal imaging, digital security twins and smart-city-friendly technologies) it is both exciting and challenging work for both security practitioners and solution providers. All things equal and with the necessary technology acceptance testing processes, this is a truly great time for security ecosystem members.

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

Author profile

Steve Surfaro

 With thirty years of security industry experience, Steve Surfaro is Chairman of the ASIS Security Applied Sciences Council and Chairman of the Public Safety Working Group for the Security Industry Association.  He is also Standards Team Leader for the DHS S+T Video Quality in Public Safety Group.  Steve is published in a wide range of security publications and delivers industry-accredited sessions each year to audiences in the Americas, Middle East and Asia.

Steve is a subject matter expert in smart cities and buildings, cyber security attack trends, forensic video, data science, command center design and first responder technologies.

He recently served as Public Safety Solutions Designer on the Super Bowl LIVE! Event, a multi-day sports themed event in Downtown Houston that attracted over 1M fans. 

He received his Bachelor of Engineering from The Cooper Union in New York City and lives in Phoenix, AZ.

In case you missed it

Disruptive Innovation Providing New Opportunities In Smart Cities
Disruptive Innovation Providing New Opportunities In Smart Cities

Growth is accelerating in the smart cities market, which will quadruple in the next four years based on 2020 numbers. Top priorities are resilient energy and infrastructure projects, followed by data-driven public safety and intelligent transportation. Innovation in smart cities will come from the continual maturation of relevant technologies such as artificial intelligence (AI), the Internet of Things (IoT), fifth-generation telecommunications (5G) and edge-to-cloud networking. AI and computer vision (video analytics) are driving challenges in security and safety, in particular, with video management systems (VMSs) capturing video streams and exposing them to various AI analytics. Adoption of disruptive technologies “Cities are entering the critical part of the adoption curve,” said Kasia Hanson, Global Director, Partner Sales, IOT Video, Safe Cities, Intel Corp. “They are beginning to cross the chasm to realize their smart city vision. Cities are taking notice and have new incentives to push harder than before. They are in a better position to innovate.” “Safety and security were already important market drivers responsible for adoption of AI, computer vision and edge computing scenarios,” commented Hanson, in a presentation at the Milestone Integration Platform Symposium (MIPS) 2021. She added: “2020 was an inflection point when technology and the market were ripe for disruption. COVID has accelerated the adoption of disruptive technologies in ways we could not have predicted last year.” Challenges faced by cities Spending in the European Union on public order and safety alone stood at 1.7% of GDP in 2018 Providing wide-ranging services is an expanding need in cities of all sizes. There are currently 33 megacities globally with populations over 10 million. There are also another 4,000 cities with populations over 100,000 inhabitants. Challenges for all cities include improving public health and safety, addressing environmental pressures, enabling mobility, improving quality of life, promoting economic competitiveness, and reducing costs. Spending in the European Union on public order and safety alone stood at 1.7% of GDP in 2018. Other challenges include air quality – 80% of those living in urban areas are exposed to air quality levels that exceed World Health Organization (WHO) limits. Highlighting mobility concerns is an eye-opening statistic from Los Angeles in 2017: Residents spent an average of 102 hours sitting in traffic. Smart technology “The Smart City of Today can enable rich and diverse use cases,” says Hanson. Examples include AI-enabled traffic signals to help reduce air pollution, and machine learning for public safety such as real-time visualization and emergency response. Public safety use cases include smart and connected outdoor lighting, smart buildings, crime prevention, video wearables for field agents, smart kiosks, and detection of noise level, glass breaks, and gunshots. Smart technology will make indoor spaces safer by controlling access to a building with keyless and touchless entry. In the age of COVID, systems can also detect face mask compliance, screen for fever, and ensure physical distancing. 2020 was an inflection point when technology and the smart cities market were ripe for disruption, Kasia Hanson told the MIPS 2021 audience. Video solutions Video workloads will provide core capabilities as entertainment venues reopen after the pandemic. When audiences attend an event at a city stadium, deep learning and AI capabilities analyze customer behaviors to create new routes, pathways, signage and to optimize cleaning operations. Personalized digital experiences will add to the overall entertainment value. In the public safety arena, video enables core capabilities such as protection of people, assets, and property, emergency response, and real-time visualization, and increased situational awareness. Video also provides intelligent incident management, better operational efficiency, and faster information sharing and collaboration. Smart video strategy Intel and Milestone provide video solutions across many use cases, including safety and security Video at the edge is a key element in end-to-end solutions. Transforming data from various point solutions into insights is complicated, time-consuming, and costly. Cities and public venues are looking for hardware, software, and industry expertise to provide the right mix of performance, capabilities, and cost-effectiveness. Intel’s smart video strategy focuses around its OpenVINO toolkit. OpenVINO, which is short for Open Visual Inference and Neural network Optimization, enables customers to build and deploy high-performing computer vision and deep learning inference applications. Intel and Milestone partnership – Video solutions “Our customers are asking for choice and flexibility at the edge, on-premises and in the cloud,” said Hansen in her presentation at the virtual conference. “They want the choice to integrate with large-scale software packages to speed deployment and ensure consistency over time. They need to be able to scale computer vision. Resolutions are increasing alongside growth in sensor installations themselves. They have to be able to accommodate that volume, no matter what causes it to grow.” As partners, Intel and Milestone provide video solutions across many use cases, including safety and security. In effect, the partnership combines Intel’s portfolio of video, computer vision, inferencing, and AI capabilities with Milestone’s video management software and community of analytics partners. Given its complex needs, the smart cities market is particularly inviting for these technologies.

What Are the Physical Security Challenges of Smart Cities?
What Are the Physical Security Challenges of Smart Cities?

The emergence of smart cities provides real-world evidence of the vast capabilities of the Internet of Things (IoT). Urban areas today can deploy a variety of IoT sensors to collect data that is then analyzed to provide insights to drive better decision-making and ultimately to make modern cities more livable. Safety and security are an important aspect of smart cities, and the capabilities that drive smarter cities also enable technologies that make them safer. We asked this week’s Expert Panel Roundtable: What are the physical security challenges of smart cities?

New Markets For AI-Powered Smart Cameras In 2021
New Markets For AI-Powered Smart Cameras In 2021

Organizations faced a number of unforeseen challenges in nearly every business sector throughout 2020 – and continuing into 2021. Until now, businesses have been on the defensive, reacting to the shifting workforce and economic conditions, however, COVID-19 proved to be a catalyst for some to accelerate their long-term technology and digitalization plans. This is now giving decision-makers the chance to take a proactive approach to mitigate current and post-pandemic risks. These long-term technology solutions can be used for today’s new world of social distancing and face mask policies and flexibly repurposed for tomorrow’s renewed focus on efficiency and business optimization. For many, this emphasis on optimization will likely be precipitated by not only the resulting economic impacts of the pandemic but also the growing sophistication and maturity of technologies such as Artificial Intelligence (AI) and Machine Learning (ML), technologies that are coming of age just when they seem to be needed the most.COVID-19 proved to be a catalyst for some to accelerate their long-term technology and digitalization plans Combined with today’s cutting-edge computer vision capabilities, AI and ML have produced smart cameras that have enabled organizations to more easily implement and comply with new health and safety requirements. Smart cameras equipped with AI-enabled intelligent video analytic applications can also be used in a variety of use cases that take into account traditional security applications, as well as business or operational optimization, uses – all on a single camera. As the applications for video analytics become more and more mainstream - providing valuable insights to a variety of industries - 2021 will be a year to explore new areas of use for AI-powered cameras. Optimizing production workflows and product quality in agriculture Surveillance and monitoring technologies are offering value to industries such as agriculture by providing a cost-effective solution for monitoring of crops, business assets and optimizing production processes. As many in the agriculture sector seek to find new technologies to assist in reducing energy usage, as well as reduce the environmental strain of modern farming, they can find an unusual ally in smart surveillance. Some niche farming organizations are already implementing AI solutions to monitor crops for peak production freshness in order to reduce waste and increase product quality.  For users who face environmental threats, such as mold, parasites, or other insects, smart surveillance monitoring can assist in the early identification of these pests and notify proper personnel before damage has occurred. They can also monitor vast amounts of livestock in fields to ensure safety from predators or to identify if an animal is injured. Using video monitoring in the growing environment as well as along the supply chain can also prove valuable to large-scale agriculture production. Applications can track and manage inventory in real-time, improving knowledge of high-demand items and allowing for better supply chain planning, further reducing potential spoilage. Efficient monitoring in manufacturing and logistics New challenges have arisen in the transportation and logistics sector, with the industry experiencing global growth. While security and operational requirements are changing, smart surveillance offers an entirely new way to monitor and control the physical side of logistics, correcting problems that often go undetected by the human eye, but have a significant impact on the overall customer experience. Smart surveillance offers an entirely new way to monitor and control the physical side of logistics, correcting problems that often go undetected by the human eye. Video analytics can assist logistic service providers in successfully delivering the correct product to the right location and customer in its original condition, which normally requires the supply chain to be both secure and ultra-efficient. The latest camera technology and intelligent software algorithms can analyze footage directly on the camera – detecting a damaged package at the loading dock before it is loaded onto a truck for delivery. When shipments come in, smart cameras can also alert drivers of empty loading bays available for offloading or alert facility staff of potential blockages or hazards for incoming and outgoing vehicles that could delay delivery schedules planned down to the minute. For monitoring and detecting specific vehicles, computer vision in combination with video analysis enables security cameras to streamline access control measures with license plate recognition. Smart cameras equipped with this technology can identify incoming and outgoing trucks - ensuring that only authorized vehicles gain access to transfer points or warehouses. Enhance regulatory safety measures in industrial settings  Smart surveillance and AI-enabled applications can be used to ensure compliance with organizational or regulatory safety measures in industrial environments. Object detection apps can identify if employees are wearing proper safety gear, such as facial coverings, hard hats, or lifting belts. Similar to the prevention of break-ins and theft, cameras equipped with behavior detection can help to automatically recognize accidents at an early stage. For example, if a worker falls to the ground or is hit by a falling object, the system recognizes this as unusual behavior and reports it immediately. Going beyond employee safety is the ability to use this technology for vital preventative maintenance on machinery and structures. A camera can identify potential safety hazards, such as a loose cable causing sparks, potential wiring hazards, or even detect defects in raw materials. Other more subtle changes, such as gradual structural shifts/crack or increases in vibrations – ones that would take the human eye months or years to discover – are detectable by smart cameras trained to detect the first signs of mechanical deterioration that could potentially pose a physical safety risk to people or assets. Early recognition of fire and smoke is another use case where industrial decision-makers can find value. Conventional fire alarms are often difficult to properly mount in buildings or outdoor spaces and they require a lot of maintenance. Smart security cameras can be deployed in difficult or hard-to-reach areas. When equipped with fire detection applications, they can trigger notification far earlier than a conventional fire alarm – as well as reduce false alarms by distinguishing between smoke, fog, or other objects that trigger false alarms. By digitizing analog environments, whether a smoke detector or an analog pressure gauge, decision-makers will have access to a wealth of data for analysis that will enable them to optimize highly technical processes along different stages of manufacturing - as well as ensure employee safety and security of industrial assets and resources. Looking forward to the future of smart surveillance With the rise of automation in all three of these markets, from intelligent shelving systems in warehouses to autonomous-driving trucks, object detection for security threats, and the use of AI in monitoring agricultural crops and livestock, the overall demand for computer vision and video analytics will continue to grow. That is why now is the best time for decision-makers across a number of industries to examine their current infrastructure and determine if they are ready to make an investment in a sustainable, multi-use, and long-term security and business optimization solution.