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Miami, FL 33166, USA.
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By Alberto Jessurun / November 4, 2020 / Blog

How AI Has Made Video Surveillance Smarter

Cameras are becoming smarter as AI empowers new functionality in video surveillance

Artificial intelligence (AI) and machine learning have changed the landscape for most business functions across industries. A significant benefit of AI in the world of security is the ability to both prevent incidents and detect them more quickly to get problems under control faster.

Video surveillance capabilities have been greatly expanded by AI advances. Updates include improved monitoring capabilities, automation, and analytics. These changes mean the already robust market continues to grow as the worldwide video surveillance industry is expected to reach $74.6 billion by 2025, that’s a compound annual growth rate of 10.4%.

So how are cameras changing? What impact is AI having on the industry? And how are surveillance capabilities improving? Here’s a brief overview.

Data analytics enhancement

Implementing AI in video surveillance allows better monitoring in general and improves your ability to make assumptions and react to changing environments. This is largely due to the host of analytics that video can now capture. Smart cameras can adapt to changing environments, detecting changes in color or movement. These technologies are becoming more sophisticated and constantly improving accuracy.

Smart surveillance cameras placed in high-traffic areas can track the busiest times of day and make predictions about behavior patterns. Recordings can be searched in an instant so officials can find certain clues, like license plate numbers or even clothing. Retailers can rapidly detect shoplifters or measure the number of visitors they have each day.

Just like the world of big data, surveillance systems can suffer from capturing too much information. There are often too many security cameras running at once and recordings that security staff can never get through on their own. AI video screening allows more video data to be sifted through and utilized. Processes that previously took a lot of time for staff to complete now be done in seconds or minutes. Red flags can be brought to the attention of staff as they come up so your personnel don’t have to constantly monitor cameras themselves.

AI used in any context is likely to produce similar results: Streamlining once-manual processes. These updates make it possible for video cameras to provide more information to organizations because the data can be sorted faster and more efficiently, leading to more accurate and up-to-the-minute information.

Facial recognition

Another new surveillance feature empowered by AI is facial recognition, which is becoming more prevalent in the world of site security. Biometric security protocols have increased in general, especially as the coronavirus pandemic causes the shift to a contact-free world.

Incorporated into video surveillance strategies, facial recognition can provide benefits such as finding missing children or wanted criminals. It can be deployed in school campuses or hospitals to ensure that restricted or dangerous individuals don’t enter the property.

Facial recognition technology relies on AI that can detect patterns and features in a person’s facial structure, providing ongoing scans and alerts of potential matches that just wouldn’t be possible for humans to conduct with the naked eye.

AI used in the backend

In addition to using AI techniques in smart cameras themselves, some of these technologies are used on the backend of surveillance, whether on the server or within the cloud. For example, an AI tool can be used within an organization’s cloud system to sift through all the footage that a camera records, looking for certain clues or details. These solutions can be programmed to recognize certain colors, vehicles, people, and more, speeding up the entire search and identification process.

These tools use deep learning methods and are easy to set up and deploy, with little interference necessary from staff. A well-rounded AI-driven surveillance strategy involves all of these moving parts so that devices, data platforms, and search engines work in conjunction to provide real-time insights.

Video surveillance will only continue to improve by further integrating AI and machine learning. Organizations can sift through unprecedented levels of data, certain people or objects can be tracked down in an instant, and integrating these tools with the cloud means more data can be stored and referenced for later use.

Unisol International has a host of video surveillance products to assist your organization in deploying a comprehensive security plan. We understand how important it is to implement a fully functional security strategy to ensure the safety of your property. We also deliver turnkey deployments of IP networking solutions and provide solutions to industries ranging from education to healthcare to transportation.

Contact the Unisol International team to learn about our latest video surveillance products and how they use AI and other innovations.

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How AI Has Made Video Surveillance Smarter

Cameras are becoming smarter as AI empowers new functionality in video surveillance

Data analytics enhancement

Facial recognition

AI used in the backend

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