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Artificial Intelligence (AI) and Machine Learning (ML) are no longer science fiction but reality.
FREMONT, CA: Agencies are inundated with data, accumulating terabytes each day. The primary application of AI and machine learning is data management, specifically the ability to search, filter, and retrieve large amounts of data in real-time.
The following are just a few of the current law enforcement applications of AI and machine learning:
Analyze and redact video footage more quickly
For law enforcement, video analysis is a resource-intensive task. Numerous agencies report spending up to two hours redacting a five-minute video for public release or spending 1:1 time reviewing surveillance footage in search of suspects, missing persons, or evidence. Those hours add up quickly.
Officers can filter their searches using AI and machine learning technology to look for specific characteristics, such as a man wearing a red shirt. The system will then search for only the man wearing a red shirt. Once the man has been identified, the officer can redact or delete all non-involved or irrelevant information from the screen, leaving only the man in the red shirt visible.
Evaluates and transcriptions of audio
Radio communications between officers are a critical piece of evidence in a large number of criminal trials. However, sifting through hours of audio searching for nuggets of pertinent information can quickly become overwhelming, which is why many agencies have ceased this practice. Fortunately, AI and machine learning technology can assist in filtering out irrelevant data by scanning it for specific information, such as when an officer yells, "He has a gun," or when a suspect says, "I am going to hurt you," in the background.
Real-time audio transcription is an added benefit of audio analysis. Rather than listening to the audio, the system can generate a complete audio transcription of the recording for use in an officer's report or as evidence.
Search in real-time
Due to advancements in audio recognition, AI systems can quickly locate information required by officers in real-time. For instance, an officer can request that the AI system run a person's name and date of birth. The system can then respond directly to the officer with driver's license information, warrant information, recent arrests, recent involvement, or recent alerts.
One of the most rapidly evolving applications of AI and machine learning is in gunshot detection devices. Companies and scientists working in data science are developing advanced algorithms to detect the precise location of gunshots, the number of rounds fired, and the number of firearms present. These systems can even distinguish between muzzle blasts and shock waves, thereby determining the type of gun (rifle, shotgun, handgun).
Forecasting criminal activity
Numerous agencies are utilizing artificial intelligence to assist in the fight against crime. These systems can sift through massive amounts of data and use predictive analytics to provide accurate crime forecasting. Following that, agencies can use the data to allocate police resources.