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[P] Using Machine Learning to detect handguns being held by a person, not in holster – SmarterEveryDay [video 12:55]

Destin posted an video on using Machine Learning to analyze (surveillance) video for guns being held by a person.

Very interesting discussion on training the system, and the challenge of reducing false-positives as people hold cellphones in a similar way to how someone would hold a gun. Also on privacy, regarding the decision to not look for concealed carry.

We built a gun detector using machine learning that works with existing surveillance cameras.

There are many companies working on this type of technology at the moment. We made ours in 2018, and Chad visited my house in January 2019 to film most of this. We didn’t post it for various reasons, but decided now might be a good time. The fidelity of the inference is a function of how you train it…. so obviously the more data points you provide, the better it will perform. This particular type of machine learning is known as object detection, with the computation being performed by a deep neural network “on the edge”. The video stream is processed locally and no internet is needed to find the object in real time. If you’re working on something similar or could use this technology in your systems and would like to collaborate…. (or would simply like to support what we’re doing) please reach out by using this link: https://www.lantern.systems/gun-detector

https://www.youtube.com/watch?v=Lh0x54GC1sw

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.