Artificial Intelligence for Surveillance and Security

Recognizing the benefits of Artificial Intelligence (AI) in improving analytics processes, especially video analytics, technology often provides greater opportunities and risks for future generations...

Artificial Intelligence for Surveillance and Security

Recognizing the benefits of Artificial Intelligence (AI) in improving analytics processes, especially video analytics, technology often provides greater opportunities and risks for future generations. Digital cameras like digital eyes are only useful when someone is watching from the other side. It doesn't take away from the fact that these digital cameras just don't work. By being able to monitor with restraint, the evidence of the event that the camera took lives until one examined the images.

The growing need for vigilance and protection has led to the rapid development of security and surveillance technology today. Statistics show that global spending on information security products reached more than $ 114 billion last year. New and innovative solutions are being introduced in the market to address security issues at all levels. The artificial intelligence of recruitment and security is one of the many life-changing features of AI.

How does this work?

It does this in two ways; firstly by looking at objects in the target area and finding where people and vehicles are, and secondly by taking the provider's response to the accuracy of the various events and incorporating this intelligence into the system itself, thereby improving its efficiency. This interaction between operator and technology leads to a “readable” system: Artificial Intelligence to the best of its ability in a secure environment where, ultimately, human control takes a back seat in intelligently designed video analytics capabilities.

Eliminating human error is a major driver after bringing Artificial Intelligence to security through smart video analytics. Studies have shown that people who do regular work have a fixed attention span of 20 minutes, after which the attention span begins to decrease. Moreover, when people are faced with many things at once, the length of the goals will decrease very rapidly. Therefore, video analytics are beginning to take the place of human first judgment in an effort to maximize the efficiency of the work.

Types of AI Security

Rule-based: A legal system is a system that uses man-made rules to store, filter and manage information. In doing so, he imitates human intelligence.

For it to work, rules-based systems require a set of facts or data sources, as well as a set of rules for managing that data. These rules are sometimes called 'If statements' as they usually follow the line 'IF X OCCURS YOU MAKE A Y'.

Default software like ThinkAutomation is a good example. It processes itself by breaking it down into steps. First comes the data or a new business event. Then comes the analysis: the part where the system processes data that contradicts its rules. Then comes the default action.

Behavioral statistics: This is a new Artificial Intelligence security method. There is no need for pre-coded programs like the original AI protection. Behavioral analytics is a learning software in which AI acquires itself, learns and studies about normal human behavior and the functioning of the environment. The system then separates the data correctly, and when any abnormal behavior is detected it sends an alarm.

How can AI Improve Surveillance and Security?

Artificial Intelligence has brought forward real-time monitoring of acquired data and clever analysis as a solution to prevent theft for all reasons. These ideas are embedded in many public places, from airports to shopping malls, monitoring people and finding any unusual activity. AI can be more reliable and accurate than the human eye thus ensuring that no piece of data or information is inaccurate.

Artificial Intelligence technology has come up with advanced face, object and event systems that work together to strengthen the security of the organization. Face recognition technology has been introduced in our smartphone devices, due to the rapid development Artificial Intelligence has seen in recent years. Apple has just released a new series of iPhones that use this feature. Users of the iPhone X series can now use their faces to unlock their phones thus protecting their data from attacks and outside hacks.

The inclusion of Artificial Intelligence in the security sector has also eliminated the problem of low-resolution image processing. Most of the images captured by video surveillance cameras to this day have low quality. Recovery of the theft of these images thus becomes a daunting task. As a result, Artificial Intelligence systems are now being used to clarify and sharpen low-resolution images and have proven to be powerful aids in analysis and interpretation.