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 behaviour 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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Check the event guide beforehand to note any education sessions you may want to attend and be sure to plan your attendance in advance 6. Keep a record Armed with your objectives and list of questions, you will want to make a note of exhibitors’ responses to help you come to an informed decision. If you’re relying on an electronic device such as a smartphone or tablet to take notes, you may like to consider bringing a back-up notepad and pen, so you can continue to take notes if your battery fails. Your record does not have to be confined to written bullet points. Photos and videos are great tools remind you what you saw at the show, and they may pick up details that you weren’t able to describe in your notes. Most mobile devices can take photos – and images don’t need to be high quality if they’re just to refresh your memory. 7. Network – but don’t let small talk rule the day It may seem obvious, but don’t forget to exchange business cards with everyone you speak to It may be tempting to take advantage of this time away from the office to talk about anything but business! While small talk can be helpful for building strong professional relationships, remember to keep your list of questions at hand so you can always bring conversations back to your key objectives. Keeping these goals in mind will also help you avoid being swayed by any unhelpful marketing-speak. It may seem obvious, but don’t forget to exchange business cards with everyone you speak to, or even take the opportunity to connect via LinkedIn. Even if something doesn’t seem relevant now, these contacts may be useful in future. Have a dedicated section in your bag or briefcase for business cards to avoid rummaging around. 8. 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Business cards: Have a dedicated pouch or pocket for these to avoid rummaging at the bottom of a bag. Comfortable shoes: If you’re spending a whole day at an event, and plan on visiting multiple booths, comfortable shoes are a must! Click here for an infographic on attending the event.

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