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Home Artificial Intelligence

The Future of Law Enforcement: AI in Advanced Police Vehicles Reducing Crime Rates

Uloma Mary Omolaiye by Uloma Mary Omolaiye
October 20, 2017
in Artificial Intelligence
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In Brief
  • Imagine the scene – a police car dashes through the bustling city streets, but this is not your usual cop car.
  • Inside it, an advanced in-car camera is not only recording but identifying potential threats or weapons.
  • With the unbounded potential of artificial intelligence (AI), law enforcement may soon see a future where much of their work is dramatically simplified, according to a...

Imagine the scene – a police car dashes through the bustling city streets, but this is not your usual cop car. Inside it, an advanced in-car camera is not only recording but identifying potential threats or weapons. This isn’t just a flight of fancy. With the unbounded potential of artificial intelligence (AI), law enforcement may soon see a future where much of their work is dramatically simplified, according to a report by CNN.

Recently, Coban Technologies, a trailblazing company based in Houston, has announced their latest innovation designed to help police stay one step ahead. This firm, known for providing cutting-edge cameras to police departments, has developed a dashcam remarkable for its ability to identify everything from people to guns with AI.

While the dashcam’s current capabilities are still in early stages, the technology under development promises to provide law enforcement agencies with invaluable tools to help decipher raw video data more effectively. In the near future, the dashcam will use AI to detect suspects, potentially making operations more efficient and effective. A standout feature will be its ability to identify weapons, making it an indispensable tool for ensuring public safety.

Sgt. Daniel Gomez, head of the Los Angeles Police Department’s tactical technology unit shares his excitement about the product development with CNN tech: ‘There’s no doubt there’s value. We want to be on that journey with them to understand where they are going to, and what they are going to do.’

In Sgt. Gomez’s unit, they are investigating how this camera could be used to serve the community. Currently, the device is undergoing rigorous testing to ensure it delivers its promised capabilities. For example, the dashcam has already been trialed on traffic stops as a novel means of training officers.

Gomez also mentions potential future developments he is excited about, such as the eventual integration of facial recognition technology into these dashcams, a feature he sees as revolutionary.

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Despite his enthusiasm, Gomez also expresses reservations about the dashcam’s current limitations, particularly its inability to provide a 360-degree view that could hinder facial recognition accuracy.

Investigating the LAPD’s use of data, it’s clear that Coban’s technology proposes a robust solution. The company plans to use a network of six cameras on police cars to enable a full 360-degree view for improved facial recognition. At present, police vehicles typically only carry a single dashboard camera. Additionally, the technology aims to offer immediate video analysis and potentially alert officers when someone approaches their vehicle.

Despite the many advantages of this technology, there are valid concerns about the potential for privacy infringement. The very nature of facial recognition technology could potentially allow governmental bodies to track the location of all citizens, whether suspected of criminal activities or not.

The ultimate objective of this venture is to utilize artificial intelligence to mitigate crime. Current surveillance systems produce vast amounts of footage that require time-intensive manual review. Coban’s technology, on the other hand, could offer instantaneous analysis, thus making the work of law enforcement more efficient.

Deepu Tella, Vice President of NVIDIA – a partner of Coban in developing the dashcams – eloquently captures the urgency of this need: ‘There’s no way there are enough human eyeballs and enough police officers to keep things safe on their own. With one billion cameras coming to smart cities by 2020, you would need three billion people to watch these cameras. That’s not a practical way to do this.’

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