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  • Writer's pictureAnantaya Pornwichianwong

Enhancing Security and Surveillance with Computer Vision

The increasing population has led to the expansion of cities and the development of more complex city plans and buildings. As a result, Achieving efficient community management and security has become increasingly challenging. With the advancement of AI, both the public and private sectors should consider utilizing AI to enhance security and keep up with the rapid expansion of cities.

In this article, Sertis would like to introduce you to the uses of computer vision in security. Let's see how we can improve security by using AI surveillance that can work nonstop.

What is computer vision?

Firstly, let's understand what computer vision is and how it can be used in surveillance systems.

Computer vision is a branch of AI that deals with visual information. It can analyze and detect objects in images and videos to categorize, track, or recognize them based on human instructions. It acts like the "eyes" of AI, helping it see and understand visual information in a way similar to humans.

Strengthening security in CCTV systems through computer vision

One of the powerful computer vision solutions that should be integrated into surveillance systems is video analytics, as it is the technology that enables video data processing to detect and identify objects and people within video footage based on specified instructions. It is usually combined with CCTV systems.

CCTV is a commonly used surveillance method. It is often placed at entrances, exits, inside the buildings, and on street corners. While CCTV cameras can record continuously and allow us to review footage after something happens, they are more reactive than proactive. Sometimes, by the time we see the recorded footage, it is already too late to prevent an incident.

Video analytics possesses multiple capabilities. It can detect people and objects, allowing us to identify anything unusual or suspicious, such as suspicious individuals, unusual behaviors, unauthorized objects, weapons, or instances of intrusion. This real-time detection enables timely alerts to authorities to prevent unwanted incidents.

AI's capacity to process vast amounts of data enables us to detect people and objects accurately and rapidly. Moreover, its ability to function continuously and efficiently without human intervention offers us intelligent surveillance. This means our CCTV systems can proactively operate around the clock, helping to prevent incidents.

Examples of applying computer vision to surveillance

  • Suspicious person or behavior detection

We can use computer vision to detect people passing by CCTV cameras. By employing person detection solutions, we can locate and identify individuals or groups of people. Additionally, we can detect suspicious behaviors using action recognition and loitering detection solutions. These tools analyze people's actions based on the law, helping us identify if someone is behaving in a way that violates the law, like shoplifting or being drunk in public.

  • Suspicious object detection

We can train the model to identify suspicious or prohibited objects, such as weapons or restricted items, in specific areas. This allows us to perform real-time detection through CCTV cameras, providing comprehensive surveillance and ensuring compliance with the law.

  • Intrusion detection

We can detect intrusions into restricted areas by defining boundaries for the intrusion detection model to help it learn the locations of fences and prohibited areas. If any intrusion occurs, the model will promptly notify the authorities.

  • Access control and record

Keeping proper records of building or area access is crucial for maximum security. We can use a face recognition system to control access by verifying a person's identity with their biometric data before unlocking the door and keeping a record of their entry. This method is more convenient than using keycards or fingerprints. Additionally, we can use automatic license plate recognition (ALPR) to detect and record license plate numbers and vehicle features when cars enter or exit the building.

The benefits of using computer vision in public surveillance

Enhancing security systems using computer vision provides us with AI surveillance that works tirelessly, offering sharper monitoring and thorough security at all times. It can also help lower crime rates by promptly alerting authorities when an incident occurs, allowing them to take proactive action to prevent further issues.

Computer vision systems, like face recognition and person detection, are valuable tools that aid police officers in their operations. For instance, by utilizing face recognition and person detection systems, we can search for missing individuals by identifying potential matches in CCTV footage and cross-referencing them with databases. This increases the likelihood of locating the person more quickly and effectively.

In today's world, it is crucial for all organizations, both public and private, to prioritize implementing appropriate and efficient security solutions. Effective surveillance technology should be deployed in various locations, including streets, building entrances and exits, as well as restricted areas such as rooms containing confidential documents or server rooms.

Enhancing CCTV surveillance with computer vision technology helps strengthen security in the area and ensures around-the-clock safety for the public, employees, and organizations.

At Sertis, our team of computer vision experts specializes in providing customized security solutions tailored to the unique needs of every organization, maximizing safety for all.

Learn more about security solutions from Sertis:


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