Artificial Intelligence (AI) Trends In Physical Security Systems

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If you’ve been paying attention over the last twelve months, you will have noticed that deep learning techniques and artificial intelligence (AI) are making waves in the physical security market, with manufacturers eagerly adopting these buzzwords at the industry's biggest trade shows. With all the hype, security professionals are curious to know what these terms really mean, and how these technologies can boost real-world security system performance.

The growing number of applications of deep learning technology and AI in physical security is a clear indication that these are more than a passing fad. This review of some of our most comprehensive articles on these topics shows that AI is an all-pervasive trend that the physical security industry will do well to embrace quickly. Here, we examine the opportunities that artificial intelligence presents for smart security applications, and look back at how some of the leading security companies are adapting to respond to rapidly-changing expectations:

What Is Deep Learning Technology?

Machine Learning involves collecting large amounts of data related to a problem, training a model using this data and employing this model to process new data. Recently, there have been huge advances in a branch of Machine Learning called Deep Learning. This describes a family of algorithms based on neural networks. These algorithms are able to learn efficiently from example, and subsequently apply this learning to new data. Here, Zvika Ashani explains how deep learning technology can boost video surveillance systems.

Relationship Between Deep Learning And Artificial Intelligence

There have been huge advances in a branch of Machine Learning called Deep Learning

With deep learning, you can show a computer many different images and it will "learn" to distinguish the differences. This is the "training" phase. After the neural network learns about the data, it can then use "inference" to interpret new data based on what it has learned. For example, if it has seen enough cats before, the system will know when a new image is a cat. In effect, the system “learns” by looking at lots of data to achieve artificial intelligence (AI). Larry Anderson explores how new computer hardware - the Graphic Processing Unit (GPU) – is making artificial intelligence accessible to the security industry.

Improving Surveillance Efficiency And Accuracy With AI

The Graphic Processing Unit (GPU) – is making artificial intelligence accessible to the security industry

Larry Anderson explains how the latest technologies from Neurala and Motorola will enable the addition of AI to existing products, changing an existing solution from a passive sensor to a device that is “active in its thinking.” The technology is already being added to existing Motorola body-worn-cameras to enable police officers to more efficiently search for objects or persons of interest. In surveillance applications, AI could eliminate the need for humans to do repetitive or boring work, such as look at hours of video footage.

Intelligent Security Systems Overcome Smart City Surveillance Challenges

In surveillance applications, AI could eliminate the need for humans to do repetitive or boring work, such as look at hours of video footage

AI technology is expected to answer the pressing industry questions of how to use Big Data effectively and make a return on the investment in expensive storage, while maintaining (or even lowering) human capital costs. However, until recently, these expectations have been limited by factors such as a limited ability to learn, and high ongoing costs. Zvika Ashani examines how these challenges are being met and overcome, making artificial intelligence the standard in Smart City surveillance deployments.

Combining AI And Robotics To Enhance Security Operations

Artificial intelligence is becoming the standard in Smart City surveillance deployments

With the abilities afforded by AI, robots can navigate any designated area autonomously to keep an eye out for suspicious behavior or alert first responders to those who may need aid. This also means that fewer law enforcement and/or security personnel will have be pulled from surrounding areas. While drones still require a human operator to chart their flight paths, the evolution of artificial intelligence (AI) is increasing the capabilities of these machines to work autonomously, says Steve Reinharz.

Future Of Artificial Intelligence In The Security Industry

While drones still require a human operator to chart their flight paths, the evolution of artificial intelligence (AI) is increasing the capabilities of these machines to work autonomously

Contributors to SourceSecurity.com have been eager to embrace artificial intelligence and its ability to make video analytics more accurate and effective. Manufacturers predicted that deep learning technology could provide unprecedented insight into human behaviour, allowing video systems to more accurately monitor and predict crime. They also noted how cloud-based systems hold an advantage for deep learning video analytics. All in all, manufacturers are hoping that AI will provide scalable solutions across a range of vertical markets.

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People mentioned in this article

Larry Anderson

Zvika Ashani Agent Vi (Agent Video Intelligence)

Steve Reinharz Robotic Assistance Devices, LLC.

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Healthcare Facilities Need To Focus On Cyber Security

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The report revealed that the healthcare sector is lacking basic cybersecurity awareness - putting the entire medical infrastructure at risk. The healthcare sector relies much more on technology than ever before. Devices that are connected to the internet are crucial for not only employee convenience but patient's wellbeing and safety, as well. From patient data and lab results to radiology equipment /and hospital elevators - everything needs to be functioning properly in order to ensure maximum efficiency across each facility. Sadly, those technologies are often vulnerable to cyberattacks, which can lead to hacked patient data, hijacked drug infusion devices, cryptocurrency scams, and even shut down an entire facility. Over 75% of the entire healthcare industry has been infected with some kind of malware over the last year Hospitals try to improve security, but in practice, these measures can get bypassed by clinicians, and then they're not as effective" "Hospitals try to improve security, but in practice, these measures can get bypassed by clinicians, and then they're not as effective," said Sung Choi, assistant professor at the University of Central Florida's department of health management and informatics. "Security adds inconvenience by design. The next step is figuring out how to improve it without the inconvenience." Healthcare cybersecurity facts Here are some interesting facts pertaining to cybersecurity within the healthcare sector: 63% of the 27 largest U.S. hospitals have a C or lower in Patching Cadence, which measures a facility's ability to implement security software patches in a timely fashion. 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The global healthcare Internet of Things (IoT) market is expected to grow with a 12.5% compound annual growth rate (CAGR) to $136 billion by 2021. 95% of all cybersecurity breaches are caused by human error. Thankfully, there are plenty of things that healthcare executives can do to fight back against digital threats "It is safe to say that costs to healthcare organizations will continue to rise as one of the fastest-growing threats, ran ransomware, successfully wreaks havoc in the industry," said authors of a recent IBM X-Force Research report. Steps to enhance cybersecurity Thankfully, there are plenty of things that healthcare executives can do to fight back against these digital threats. Here are some of the best security practices for healthcare facilities in 2019: 1. Risk Assessment First, an organization needs to evaluate any and all risks associated with the entire operation. From digital security to equipment theft, here are some of the most common risks to consider: Distributed Denial-of-Service (DDOS) attacks (attempting to crash servers). Viruses, malware, and ransomware threats by unintentional internet use. Active attempts to infiltrate network security.- Deliberate theft or corruption by employees. Data loss through software issues or hardware failures. Accidental unauthorized viewing of confidential data. A healthcare center needs to have all of its security and privacy policies documented, printed out, and visible 2. Continuous Education and Training Healthcare employees are critical to a facility's success. Investing in their education and training will surely pay off in the long run. Regular training will help them not only perform better but give them the ability to handle issues competently when something goes wrong. Investing in healthcare employees education and training will pay off in the long run 3. Document Everything A healthcare center needs to have all of its security and privacy policies documented, printed out, and visible. Doing this will ensure compliance with legislation and will serve as a reference point for the entire staff throughout the training process. 4. Assign a Security Specialist No matter how large your medical operation is, it's always a good idea to designate a specific individual (or team) to handle your in-house and digital security. Since tech security is so complex, your specialist will likely need to research the government's compliance information to ensure that every staff member follows the guidelines. 5. Develop a Back-Up Plan No matter how well prepared you are, something will always go wrong From the moment people started using computers, backing up data has been a crucial step. No matter how well prepared you are, something will always go wrong. Every practice needs to develop - and document - a detailed back-up plan to avoid serious issues. Not only that, but it's just as important to develop a comprehensive procedure for restoring back-ups after an issue has occurred. 6. Handle the Basics Many of these might seem obvious, but they are extremely important and often forgotten. Here are some general and everyday practices that should be performed: Updating and strengthening user passwords. Using security logs to monitor suspicious network activity and login attempts. Preventing unauthorized software installations. Removing unnecessary browser plugins and software. Restricting access to social media, chat, and dubious websites. Disabling or removing unnecessary accounts (ex-employees). Restricting access to physical ports on company machines. "If executive leadership truly understood the business risks posed by inadequate cybersecurity and realised the major operational, financial, and patient safety implications a security incident can have, they would ensure any and all resources needed were available," added David Finn, Executive Vice President of Strategic Innovation at CynergisTek. "We need to make sure we are effectively communicating these issues to executive leadership, so they make cybersecurity a business priority."

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