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Paul Delacourt

"Mr. Paul D. Delacourt works for Red River Technology in Chantilly, Virginia as a Director of Programs."

How Law Enforcement will Use Technology and Intelligence in The Future

Predictive policing, Internet of Things (IoT) devices, and situational awareness are some of the hottest topics in law enforcement intelligence and technology. What will these changes mean for those in charge of law enforcement in the coming years?

Predictive policing is a way for police to determine how likely crime will happen in a particular area. This can help police officers find and stop crime better. For example, the Los Angeles Strategic Extraction and Restoration (LASER) program helps find places where gun violence is likely to happen.

With the help of predictive policing software, law enforcement has been able to send more officers to high-risk areas. But there are several moral problems with the practice. Predictive policing can cause privacy issues and make officers and residents more biased.

Police officers may think that everyday things happening in low-risk areas are suspicious. For instance, a police officer might think that a 16-year-old who cuts through his backyard is a child who is breaking the law. But the child is going to school.

The data put into predictive algorithms is only sometimes correct, which could be another problem. Vendors often leave out critical data sources, making it hard to make accurate predictions.

When Internet of Things (IoT) devices are combined with AI, data can be collected faster and used to find patterns in the criminal justice system. This could make law enforcement agencies more effective and help protect public safety. It will also help people trust the police more.

Even though it is clear that IoT devices can help law enforcement, the technology raises questions about ethics and privacy. The police need to work with new partners to ensure everyone is safe.

Currently, police in the United States collect information by hand and in small groups. Even though IoT makes it possible to collect and store data quickly, this will require more resources. A Internet of Things (IoT) database can be used to teach and inform communities.

A database can contain technical documents, IoT data, and vulnerabilities. These can be used to help police train better, help with investigations, and help bring criminals to justice.

In law enforcement, being aware of the situation is an essential skill. It makes it possible for police officers to act quickly and satisfactorily. In the world we live in now, a quick response can make a big difference in people's safety and security. With this technology, police officers can hear gunshots, find out where people are, and watch for strange behavior.

Situational awareness is having up-to-date information about the environment, like where a person is or what things are around them. Then, a plan of action is made based on what was learned. These plans can include using emergency gear or cameras to monitor things.

Situational awareness was first put forward to help military planners make good decisions. The ability is also helpful for law enforcement and aviation. This technology is being used in more and more cities to protect civilians and help police make better decisions.

Creating a situation awareness model can be done in several ways. Some models are based on how people learn. Some are based on computer architecture, while others use a case-based reasoning model.

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