AI network detects drunkenness by evaluating infrared images of human faces with 93% accuracy
A convolutional neural network can evaluate thermal infrared images of human faces and determine with 93% accuracy whether the person is drunk. The system described in the International Journal of Intelligent Information and Database Systems could be implemented in places where drunk driving and drunken behavior are common problems.
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