Transforming Video Surveillance With Artificial Intelligence

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Video Surveillance With Artificial Intelligence

A majority of modern security operations rely heavily on the data that security devices record. However, it is still challenging for security operators to analyze large volumes of recorded videos for security assurance. Additionally, the limited human attention can pose a challenge in analyzing video surveillance data effectively.

Artificial Intelligence provides digital brains to surveillance cameras for analyzing live videos without any human indulgence. With the advent of AI, new innovative solutions are being introduced not only for established security vendors but also for startups. Several organizations use these solutions to strengthen their security operations. Let’s explore how AI shall impact the video surveillance industry soon.

The Advantages of AI in Video Surveillance

Real-time Monitoring: In the case of CCTV cameras, the videos are streamed live on TV screens. But, very little effort is made to make any meaningful analysis of a possible security incident. Most of the video surveillance solutions are reactive. Security agencies primarily ask for CCTV footage only when an incident occurs or when there is massive threat perception. AI can change the picture completely through real-time monitoring of video footage with intelligent analysis. It can analyze how security incidents can occur and how to prevent them. AI-powered solutions can easily detect unattended objects like bags in airports and public spaces, enabling security agencies to take preventive actions. Similarly, AI-enabled surveillance solutions can monitor people moving around in retail stores to prevent theft incidents from happening.

Deployment of Technologies like Object, Facial, and Event Recognition: Even if businesses record extensive video footage, it is difficult to identify specific events or detect suspicious activities. Artificial Intelligence provides real-time security features like facial recognition, object detection, and event recognition.

Another way to identify a person in a group or crowd is faceless recognition. Here, a person’s physical characteristics such as height, posture, and build can be used to identify him in a crowd. Moreover, patterns of activities can be used in different environments to single out criminal behavior, securing neighboring environs. It can be extremely useful for police forces, especially to identify criminals from a crowd.

Image Processing for Better Analysis: Although an ultra-high-definition camera can capture a high-resolution image, their usage as part of video surveillance solutions remains low. Hence, especially during low light conditions, most images captured by such solutions are of poor quality. Such issues prevent operators from delivering accurate analysis reports and increase the chances of missed incidents. AI can be used to sharpen low-quality images and enable security personnel to draw meaningful information from them. The scope of undesirable incidents can be easily analyzed by the operators by analyzing the improved images.

Remote Asset Management: Plenty of business assets are stored in remote locations or away from an industrial facility. They need monitoring to confirm that they are functioning properly and to minimize sudden breakdowns or downtime. Video analytics can identify if assets are not optimally utilized or need maintenance without requiring the operators to check them in-person.

The ultimate goal of remote asset management is to get maximum return on assets, which can be achieved using AI for video analytics. Ideal machine conditions and performance metrics can be fed into AI systems to analyze the machine behavior patterns. It can be used to predict machine performance and alert operators when to expect machine failures. Predictive analytics can save huge costs by reducing machine downtime, which is the key to have an uninterrupted production process.

Advanced Security: AI technology enables security operators to take prompt actions on critical events without constantly monitoring video screens. AI-powered video management software can reduce the amount of time spent on surveillance, making security operators more efficient and effective at their jobs. It not only expedites forensic investigations but enables real-time event responses as well. When integrated throughout a security system, AI technology has the potential to dramatically improve security operations.

Moreover, to curb theft on all grounds, AI has brought forward real-time monitoring of the data acquired along with intelligent analysis. Such ideas can be incorporated across public places, right from airports to retail stores, to monitor people and detect any unusual activity. Artificial Intelligence can be more accurate and reliable as compared to the human eye, ensuring that no data or information goes amiss.

Using Data Deluge: A large portion of urban areas and public spaces are under video surveillance, with cameras that collect massive amounts of data every day. The intention of collecting such data is to create a smart city that provides higher convenience and better security. Although a massive amount of data is collected, it is often not used to its full potential because of the legacy systems. Specialized software on AI-based technologies can be used to derive valuable insights from the surveillance data. Security operators can make use of the derived insights to take preventive measures to protect people and valuable assets.

 

About Author:-

Abhijit is a content writer and tech blogger. Currently associated with artificial intelligence development company, Oodles AI. He is focusing on unfolding the elements that make technology interesting. His writing consists of disruptive tech trends including artificial intelligence, cybersecurity, Internet of Things, and Blockchain.

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