Artificial Intelligence Deep Learning and its application in video surveillance

Lanaccess explains in this article the benefits that Deep Learning brings to the video surveillance environment, how to avoid false alarms, accelerate threat detection, stop them without requiring human intervention or preventing them.

Companies are increasingly demanding solutions Video surveillance Advanced, that incorporate artificial intelligence to go beyond simple motion detection in a scene. Now organizations need even smarter solutions that have Artificial Intelligence with deep learning (Deep Learning).

Deep Learning can be defined as a form of machine learning that is based on a neural network of three or more layers that attempt to simulate the behavior of the human brain to learn from large amounts of data.. It is a technology with great potential in all sectors and also in video surveillance.

Deep Learning is a revolutionary technology that brings many benefits to companies in the field of surveillance:

1.- Avoid false alarms: Allows a security system to learn different object classifications, as well as humans, animals or vehicles, among others, to make better decisions. For example, disable alarms that have detected a movement that does not correspond to a real threat.

Deep learning overcomes the limitations of machine learning, whose way of learning is restricted to the data provided by humans. Instead, with Deep Learning, the system goes deeper to find the best solution.

2.- Stops threats without human intervention: Performing advanced functions without the intervention of a human being has many advantages in the field of video surveillance. For example, with a solution based on Deep Learning, solutions can look for potential threats to the company without the participation of a security guard and without fatigue.

Unlike conventional Machine Learning, Deep Learning systems not only learn with the data provided by a human, rather, they become smarter from the information they receive. They work more autonomously and self-sufficiently, and they are able to find new solutions that no one has taught them.

3.- Accelerates threat detection speed: In those situations where time is important as is the case of moments when it is necessary to locate and arrest suspects, having a solution that is able to detect threats at high speed is really important..

This capability is very beneficial for many sectors such as the railway sector.. In a train and metro station many people pass throughout the day and have a tool that can detect accidents or risks in minutes, instead of hours or days, is key to avoid new crimes or misfortunes.

4.- Prevents future threats: Video surveillance systems based on Deep Learning can also fulfill a preventive function. Security agents have the possibility to create rules that draw imaginary lines that certain objects and people cannot cross.

In this way, the system can concentrate on a situation and detect suspicious people loitering in a place, illegally parked vehicles or suspicious objects. All these situations can be the precedent of a criminal act and video surveillance systems with Artificial Intelligence Deep Learning are the best ally to disarm them.

Lanaccess has advanced video surveillance solutions based on Artificial Intelligence Deep Learning that can help you improve the security of a company or institution and take advantage of digital transformation.

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