Artificial Intelligence raises video surveillance cameras to a new dimension

On video cameras, Artificial Intelligence plays a dual role in making image analysis possible and improving the quality and reliability of captured sequences. From Hanwha Techwin analyzes how this technology impacts video surveillance systems.

Video cameras are ready to move forward again, thanks to the maturation of the Artificial Intelligence and its generalization. This trend received a strong boost due to the COVID-19 pandemic, with a 52 % of companies that increased AI adoption. One 86 % state that it is currently a widely used technology in their organization.

Compared to other technologies, video cameras have not been on the market for long. Initially used in 1942 to observe the launch of rockets, they were not massively employed until the decade of the 60. This makes technological advances since then the most impressive.: improvement in the quality and capture of images, stream storage and extensive integrations with security and enterprise systems. Today they are the fundamental part of security functions and other applications.

On video cameras, Artificial Intelligence plays a dual role in making image analysis possible, but also by improving the quality and reliability of the captured sequences. Offers new levels of knowledge and understanding of the situation by security teams, and other business functions.

Why AI matters in video

As the complexity of cameras and data increases, so does the need for smart and fast ways to process them.. Today's video cameras capture a large number of images, and this generates a lot of data that is impossible for human teams to classify manually.

AI-based solutions are the only practical answer to this, as they help staff analyze large volumes of data to see exactly what they need and when.

In many ways, adds a brain to video surveillance systems. With the support of Artificial Intelligence, operators no longer just "see" what is happening, rather, they have a greater context from connected sensor data and can focus on events that require human involvement..

AI in today's cameras

Regarding the role of AI in current video surveillance systems, improves every part of operations, from situational awareness and response times to investigations and team effectiveness.

Greater focus

With Artificial Intelligence that continuously analyzes the images of video cameras, operators can focus only on what requires their direct attention and action. Can alert them to suspicious behavior, For example, possible raids, emergencies such as fires or floods and vandalism.

The most specialized Artificial Intelligence can help in traffic management, analyzing traffic density or average travel time in a given area, marking dangerous driving or illegally stopped vehicles .

Fewer false alarms

thanks to Deep Learning, cameras with artificial intelligence are now so advanced that they can differentiate real events that trigger different actions. For example, not triggering an alert when wildlife accesses a predefined area, but alert the operator only if it is a person.

This reduces false alarms. Video noise can also be ignored so operators don't waste time and effort on false alarms.

Advanced search

Along with this extreme precision, operators can also use artificial intelligence tools, as the intelligent search of Wisenet WAVE, to locate specific features or images.

Instead of manually watching hours of video, Artificial Intelligence can identify the exact video sequence needed from an event. Operators can also find people wearing specific clothing, different age groups and genders, and various vehicle brands, your colors and license plate numbers. Like this, could quickly identify a thief or stop a stolen vehicle.

Improved image quality

Artificial Intelligence helps improve the quality of video streams transmitted to operators, as well as storage and bandwidth. The BestShot AI function in the cameras of the range Wisenet P automatically chooses the best images of an object or event to send to a remote server (minimizing storage and bandwidth requirements).

New Artificial Intelligence technologies can also apply a low compression rate to detected objects and people and a high compression rate to the remaining field of view.. this improves bandwidth efficiency without compromising the quality of the video streams that operators watch.

Solutions such as WiseNR II noise reduction use it to reduce blur in noisy and low-light environments. This is complemented by AI-based 'Preferred Shutter' technology that automatically adjusts shutter speed to further reduce motion blur..

Integration into the teams

One of the most impressive things about AI video solutions today is that these solutions can be pre-loaded into the cameras themselves..

These have the necessary processing power to analyze the information captured in the camera itself, thus avoiding having to transmit large amounts of data over the network.

Offers more opportunities to run built-in analytics, such as people counting, object detection and heat maps, no need for extensive VMS configuration, NVR or server. This makes its implementation much more economical and scalable.

The power of Artificial Intelligence can become part of your security operation from the moment you install a camera. No coding or data management knowledge is required to take advantage of this innovative technology.

Artificial Intelligence can do much more for security teams: help consolidate data, track inputs and outputs, detect manipulations and others. In addition, helps organizations tackle all sorts of challenges beyond this, influencing your operations and adding value beyond safety. On the other hand, since it is easier to implement and more economical, these benefits are easier to obtain than ever.

Other articles on Hanwha Techwin