Inventor Nathaniel F. may be close to creating a real-life Pyro – an alpha level mutant in the X-Men universe – flamethrower kit. However, this one makes use of a brain-computer interface and machine learning. You won’t need an EEG machine that scans brain patterns, but rather just a Mindflex by Mattel and lots of custom programming. That’s right, when combined with a machine learning system running TensorFlow, you’re good to go.
It’s powered by a Raspberry Pi 4, which sends commands to an Arduino microprocessor, enabling the user to fire the flamethrower when it detects the proper thought patterns. For those wondering, the flamethrower is also custom-built using an arc lighter. The version you see here took hours of collecting data and building the neural network before it was able to fire successfully.
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