Intelligent cameras increase public safety

By Safety Solutions Staff
Monday, 24 July, 2017

Dollarphotoclub 43472778

Community safety may be improved as Motorola Solutions and artificial intelligence company Neurala work together to develop intelligent cameras.

These cameras will allow police to more efficiently search for missing persons and suspects.

“We see powerful potential for artificial intelligence to improve safety and efficiency for our customers, which in turn helps create safer communities,” said Paul Steinberg, chief technology officer, Motorola Solutions.

“But applying AI in a public safety setting presents unique challenges. Neurala’s ‘edge learning’ capabilities will help us explore solutions for a variety of public safety workflows, such as finding a missing child or investigating an object of interest, such as a bicycle.”

The companies will work together to integrate Neurala’s AI capabilities with Motorola Solutions’ software and cameras, including its Si500 body-worn camera. The integration will create intelligent cameras that can learn ‘at the edge’ and automatically search for persons or objects of interest — significantly reducing the time and effort required to find a missing child or suspicious object in environments that are often crowded or chaotic.

These learning capabilities help solve some of the biggest challenges that come with real-time applications of AI. The intelligent camera learns to identify the person or object of interest. This feature, known as incremental learning, also reduces the risk of ‘catastrophic forgetting’, which occurs when a neural network forgets its previous training. Incremental learning also enables enhanced accuracy and latency for real-time public safety applications of AI.

“In the case of a missing child, imagine if the parent showed the child’s photo to a nearby police officer on patrol. The officer’s body-worn camera sees the photo, the AI engine ‘learns’ what the child looks like and deploys an engine to the body-worn cameras of nearby officers, quickly creating a team searching for the child,” said Steinberg.

Neurala will initially work with Motorola Solutions to build a prototype that allows for real-time learning for a person of interest search.

Image credit: ©agsandrew/Dollar Photo Club

Related News

Occupational asthma rates could be vastly under-reported

Occupation-related asthma accounts for at least 200 workers compensation claims every year, but...

uvex sponsors safety spectacles at APRC

uvex safety Australia will be an associate sponsor at the Asia-Pacific Regional Conference (APRC).

Cancer risk heightened by exposure to silica dust

Tradies need to be more aware of cancer risks stemming from silica dust exposure, according to...

  • All content Copyright © 2017 Westwick-Farrow Pty Ltd