Scientists build drones capable of detecting violence in crowds

But the algorithm gets less accurate the more people it tries to track

Scientists have trained drones to recognise violent behaviour in crowds using AI.

In a paper called Eye in the Sky, researchers from Cambridge University and India's technology and sciences institutes detailed how they fed an alogirthm videos of human poses to help their camera-fitted drones detect people committing violent acts.

The researchers claim the system boasts a 94% accuracy rate at identifying violent poses,and works in three steps: first the AI detects humans from aerial images, then it uses a system called "ScatterNet Hybrid Deep Learning" to interpret the pose of each detected human and finally the orientation of the limbs in the estimated pose are numbered and joined up like a coloured skeleton to identify individuals.

The algorithm used by the AI is trained to match five poses the researchers have deemed violent, which are classified as strangling, punching, kicking, shooting and stabbing.

Advertisement
Advertisement - Article continues below
Advertisement - Article continues below

Volunteers acted out the poses to train the AI, but they were generously spaced out and used exaggerated movements whilst acting out attacks. The report explains that the larger the crowd, and the more violent individuals within it, the less accurate the AI becomes.

"The accuracy of the Drone Surveillance System (DSS) decreases with the increase in the number of humans in the aerial image. This can be due to the inability of the FPN network to locate all the humans or the incapability of the SHDL network to estimate the pose of the humans accurately," the researchers wrote. "The incorrect pose can result in a wrong orientation vector which can lead the SVM to classify the activities incorrectly."

When one violent individual is in the crowd, the system is 94.1% accurate, which reduces to 90.6% with two, down to 88.3% for three, 87.8% for 4 and 84% for five violent individuals. By those figures, tracking violence in widespread incidents like the 2011 riots would currently be unworkable.

AI-powered recognition software is already in use among law enforcement bodies, despite fears that it is not accurate enough.

Both the Metropolitan Police and South Wales Police were accused of using dangerously inaccurate facial recognition technology by privacy campaign groups last month.

The groups revealed the Met had a failure rate of 98% when using facial recognition to identify suspects at last year's Notting Hill Carnival and that South Wales Police misidentified 2,400 innocent people and stored their information without their knowledge.

Advertisement - Article continues below

Image: Shutterstock

Featured Resources

Transform the operator experience with enhanced automation & analytics

Bring networking into the digital era

Download now

Artificially intelligent data centres

How the C-Suite is embracing continuous change to drive value

Download now

Deliver secure automated multicloud for containers with Red Hat and Juniper

Learn how to get started with the multicloud enabler from Red Hat and Juniper

Download now

Get the best out of your workforce

7 steps to unleashing their true potential with robotic process automation

Download now
Advertisement

Recommended

Visit/technology/33253/toyota-partners-with-nvidia-to-create-the-future-of-autonomous-vehicles
Technology

Toyota, NVIDIA partner on self-driving cars

20 Mar 2019

Most Popular

Visit/security/vulnerability/354309/patch-issued-for-critical-windows-bug
vulnerability

Patch issued for critical Windows bug

11 Dec 2019
Visit/cloud/microsoft-azure/354230/microsoft-not-amazon-is-going-to-win-the-cloud-wars
Microsoft Azure

Microsoft, not Amazon, is going to win the cloud wars

30 Nov 2019
Visit/operating-systems/microsoft-windows/354297/this-exploit-could-give-users-free-windows-7-updates
Microsoft Windows

This exploit could give users free Windows 7 updates beyond 2020

9 Dec 2019
Visit/data-insights/big-data/354311/google-reveals-uks-most-searched-for-terms-in-2019
big data

Google reveals UK’s most searched for terms in 2019

11 Dec 2019