Distracted Driver Detection

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Detection of the distracted driver has become one of the very active research areas in intelligent transportation systems. Image Processing and Machine Learning are a great solution to this problem. We have built a model which first detects if the driver is distracted using Convoluted Neural
Networks. If the driver is found distracted then, the model classifies the type of the distraction of the driver, which is texting, talking, drinking, reaching behind, etc. The driver also gets notified (voice notification) about the type of the distraction to alert him/her to focus on driving.

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