How Deep Learning Improves Covert Weapons Detection

Smart CT helps implement suitable security solutions for companies and organizations looking to improve their security parameters and keep their visitors and staff safe. One of the chief ways this is done is through the implementation of covert weapons detection systems. These systems can identify threats and maintain constant vigilance. This is accomplished with our Deep Learning security solutions.

What are Deep Learning Security Solutions?

Deep learning is a type of machine learning that is designed to mimic how the brain works through the use of artificial neural networks (ANN). In ANNs, a series of layers are designed to reach computational verdicts.

Deep learning security solutions are consistently improving themselves and their ability to detect objects and differentiate them from everyday objects.

DL Algorithms Help Reduce False Positives

Those two slabs you have occasionally walked through in various parts of your life, at a stadium for a game or before entering the terminal to board a flight, they’re the standard metal detectors we’ve grown accustomed through in our years.

Many places still utilize them today as a cheap form of deterrence and for a layer of security. Metal detectors do just that; a person removes all metal objects from their person and then passes through the detector. If all goes well, they’re clear and then they grab their stuff and are on their way.

The only problem? It seldom happens that conveniently. Metal detectors go off all of the time, and their signaling a detection is never met with concern but the assumption is simply that someone forgot their keys or that their belt buckle was metal.

This holds up the line which gives the impression that security measures that are looking to catch weapons such as guns or knives are time consuming.

Covert weapons detection systems are much more effective at spotting potential threats and alerting the authorities when a match is made.

However, weapon detection methods aren’t perfect—and false positives still occur. That’s why the marriage of deep learning algorithms with covert weapon detection provides an accurate, and increasing level of accuracy when identifying potential threats.

This is typically done through the hardware’s access to an enormous—and growing, library of weapon images. These are continually cross-referenced throughout all networked devices to differentiate between a weapon and what is an ordinary object.

The more practice a deep learning weapons detection system has within a given environment, the more it can learn to rule out common objects and regular scenarios. For example, without a database to reference, a covert weapon detector can potentially mistake an umbrella for something else.

With our systems, there is little concern for that. Utilizing deep learning in conjunction with our weapons detection, we offer a solution that is an effective addition to your security parameters for your organization.

Are There Privacy Concerns with Deep Learning Weapons Detection?

When people hear about deep learning and conceive it as artificial intelligence capable of “learning”. The idea of AI learning makes people uncomfortable, but rest assured, it only learns within a given capacity. If a robot revolution is something that concerns you, we are some long ways away from that.

As mentioned, deep learning weapons detection is modeled and layered to continuously learn by leveraging examples of images of weapons mixed in with ordinary items. When detecting in real time, images of the “target” are not generated by our systems, and so there are few if any privacy concerns regarding the recording of guests through high quality imagery.

For more information on our covert weapons detection solutions, contact Smart CT Solutions today.

May 27, 2021

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