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ADDITIONAL USE CASES

Secure Logic’s advanced signals analysis solutions have a wide range of real-world applications.

Our solutions are helping law enforcement agencies predict and reduce crime in large crowds. We are partnering with retailers to reveal consumer presence trends and uncover behaviors that don’t seem quite right. Our innovative solutions can help thwart criminal activities at prisons by providing unprecedented digital awareness. We can augment existing platforms to help facility managers better understand and monitor asset locations and movement. There are limitless opportunities for leveraging digital awareness analytics to tackle diverse challenges and reduce risk.

Additional Use Case

Below are some use cases that depict how our solutions are being deployed to enhance digital awareness and mitigate risk.

Scenario I: Law Enforcement
Leveraging Signals Technology to Predict and Reduce Crime in Large Crowds

In the law enforcement community, there is a known correlation between crowd size and the likelihood for disruption or crime volume. A large city in Florida retained Secure Logic to assess and predict crowd size trends along a popular main street with a bustling nightlife scene, helping law enforcement authorities better anticipate and reduce criminal activity.

How Secure Logic's Technology Can Be Used

Secure Logic’s signal awareness solutions are:

Stationed discretely in high-density areas to monitor signal traffic

Monitoring, organizing and analyzing thousands of signals, most commonly emitted by mobile phones, cars and other transmitting devices, around the clock 

Leveraging machine learning capabilities to identify trends and predict changes in crowd size

Adopting social and behavioral physics to analyze the relationship between crowd size and disruptive or criminal incidents

Impact

By implementing our solutions, law enforcement can benefit from:

Enhanced Situational & Digital Awareness

Augmented Physical Security

Improved Risk Mitigation and Response

Increased Decision-Making Speed and Impact

Reduced Crime

Improved Safety

Scenario II: Retail Sector
Using Signals Technology to Predict and Reduce Criminal Activity at Shopping Malls

Shopping malls have traditionally been a hot-spot for criminal activity because of the concentration of retail products and other factors. Secure Logic’s solutions can be used by mall security offices and local retailers to predict and reduce theft and other crimes.

How Secure Logic's Technology Can Be Used

Secure Logic’s signal awareness solutions are:

Stationed discretely at a centrally-located kiosk to monitor signal traffic

Monitoring, organizing and analyzing thousands of signals, most commonly emitted by personal mobile phones and wearables, around the clock

Leveraging machine learning capabilities to identify crowd behavior patterns and predict criminal and consumer activity based on signal trends

Applying social and behavioral physics to make the distinction between the routine behavior of daily mall-walkers and anomalous activity patterns of those with suspicious behavior

Impact

By implementing our solutions, retailers and security personnel are able to:

Measure and understand the tipping point between mall patron size and the probability of patterns of crime

Make more informed decisions to provide security and prevent crime

Understand trends in arrival, departure and peak population times

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