Artificial Intelligence to The Rescue of the Police to Stop the Crime

//Artificial Intelligence to The Rescue of the Police to Stop the Crime

The US state police in Delaware is preparing to deploy “smart” cameras in its vehicles to help its officers detect a vehicle carrying a fugitive, a missing child or a disoriented senior.

David Hinojosa of Coban Technologies, the company providing the equipment, explained that the video streams will be analyzed using artificial intelligence to identify vehicles by license plate or other features to “give eyes additional “to patrol agents. “We are helping agents stay focused on their work,” said Hinojosa, who calls the new technology a “steroid-embedded camera.”

Nowadays, more and more companies are offering computer-aided vision technologies. We can mention the Israeli start-up Briefcam, which uses artificial intelligence to interpret video surveillance sequences.

“A video is not structured, you can not search it,” says Amit Gavish, executive director of Briefcam in the United States. Without artificial intelligence, he says, “you’d have to watch hundreds of hours of footage using only fast forward and fastback. ”

And to specify that “We detect, follow, extract and classify each object in the video to make a database.” This may allow investigators to quickly find suspects in CCTV footage, a system already used by police in hundreds of cities around the world, including Paris, Boston, and Chicago.

“It’s not just a time saver. In many cases, that would not be possible because people who watch video images become ineffective after 10 to 20 minutes, “he says.

The Russian start-up Vision Labs uses Nvidia’s facial recognition technology to identify shoplifters or troublemakers in casinos. “We can deploy (this technology) anywhere,” enthuses Vadim Kilimnichenko, Project Manager at Vision Labs. His clients also include banks for whom facial recognition can help determine if someone is using a false identity.

The US start-up Deep Science uses the same technology to help traders detect real-time armed robbery by identifying weapons or masked attackers, triggering automatic alarms.

If artificial intelligence can prove so useful, digital rights advocates have not failed to argue their opposition. This is the case, for example, of Marc Rotenberg, president of the Electronic Privacy Information Center, who believes that the rapid growth of these technologies raises privacy risks and calls for regulatory control over how data is stored.

Some of these techniques may be helpful, but there are huge privacy issues when systems are designed to capture identity and make a decision based on personal data. This is where the problems of profiling, bias, and accuracy come into play.

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By |2018-01-04T14:49:47+00:00January 4th, 2018|Technology|3 Comments

3 Comments

  1. Ogeto Omwancha January 4, 2018 at 5:17 pm - Reply

    Very interesting read. With the high rate of development and use of digital technology in our society today, it was only a short while before the police force caught up with the general masses in the race towards being tech savvy. But in the hands of cops, AI has the potential to have a massive impact on society by allowing law enforcement to have an “overbearing or pervasive” presence. If society approaches these technologies primarily with fear and suspicion, missteps that slow AI’s development or drive it underground will result, impeding important work on ensuring the safety and reliability of AI technologies. On the other hand, if society approaches AI with a more open mind, the technologies emerging from the field could profoundly transform society for the better in the coming decades. There are certainly benefits to applying this new technology to help fight crime, but it also raises some challenging questions regarding our right to privacy and security breaches. Agencies across the world are moving toward more data-driven approaches to solving crimes. Machine learning is particularly skilled at identifying patterns and can be quite useful when trying to discern a modus operandi (M.O.) of an offender. Digital tools can speed up this work and find connections that might take humans much longer to uncover. In the future, these types of algorithms might prove useful to detect serial crimes committed by the same individual or group. But how this technologies are used, and in order to be of a benefit to the society, there is a great need for a proper policy and transparency from both sides of the divide.

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