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How to implement AI video surveillance for business security

16 November 2021

Security cameras are an easy, efficient way of keeping track of commercial areas without being there in person, especially after-hours. Security is a 24/7 business; however many companies lack the budget to have someone monitor their systems all the time. A solution is to hire a third-party, but this is by no means a cost-effective route and does not eliminate human errors. Manually monitoring systems can result in slow response times, missed reports and increased liability and insurance costs.

In the past, constant video monitoring had been limited to big organizations that had the budget for it. Fortunately, there have been major developments in artificial intelligence (AI) and cloud-based technology that are giving smaller companies more options.

How does AI work?

AI and cloud-based technology has broadened the availability of constant security surveillance, but how does a business go about implementing this new technology?

Where security is concerned, AI systems are becoming more robust and intelligent as time goes by, building up their databases of potential threats and analyzing current events accordingly. This gives these systems the ability to “think” independently, the main advantage of any AI system.

AI systems rely on algorithms based on deep learning to identify certain threats and events. Here are some of the specifications and technologies that make these systems so effective and attractive to businesses:

• Vehicle identification can be utilized to recognize license plates and various types of vehicles (all the way to color, make and model) and to set off alerts if a vehicle enters a restricted zone.

• Facial recognition is used to make it easier for law personnel to catch suspects, and for commercial teams to identify VIP customers as they enter.

• Business intelligence utilizes queue detection, heat mapping and people counting technologies to enhance the business’ operational efficiency by way of data reports.

• Perimeter protection helps companies to identify any threats by recognizing vehicles and people from other objects and reducing the number of false alarms.

Implementing an AI system in a business

The journey of AI security systems is just beginning, but there are some best practices when it comes to implementing a customized system.

Before current developments, most security systems included motion sensors that triggered alerts based on a number of pixels that showed up on screen. This meant a lot of time was spent adjusting the hardware to reduce false alerts. With AI, there are no compromises; it can recognize the difference between objects, humans and animals. This means that any blowing leaves, headlights or weather conditions will not trigger alarms. The amount of personnel needed to monitor systems is reduced, as one person can now monitor alerts for several locations at once, making it more cost effective.

AI shifts focus to behavior patterns, not faces

There are many different rules and regulations around data collection and privacy for AI-related systems. This causes some unrest in the industry, as facial recognition and identity software could possibly introduce some racial or gender-based biases.

Smart security systems benefit from analyzing behavioral patterns, not faces. By recording, analyzing and learning common behavior patterns in a specific situation, they can recognize when something is abnormal. An alert can be raised without the identity or appearance of the person coming into question.

Focusing on behavior means systems can go further than identifying a potential threat. In retail situations, noticing behavioral patterns can give the business an opportunity to spot someone seemingly confused or frustrated by analyzing movement. An employee can approach a customer seen pacing via surveillance. This can end with a satisfied customer and sale.

Have an opinion about these strides in AI security? Engineering360 wants to hear your thoughts in the comments below!

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