Drowsiness Detection with Alert Sender
Stay alert, stay safe: Detect drowsiness with ease.
Demo
About
The problem it solves This is a Python-based project that uses OpenCV and dlib libraries to detect the drowsiness of a driver in real-time. It can detect if the driver's eyes are closed for a certain amount of time, which could indicate that the driver is drowsy and may fall asleep while driving. Drowsy driving is a major cause of road accidents, especially for long-distance drivers. To address this issue, we have developed a device that can detect a driver's sleepy eyes and send an alert to the driver while also slowing down the vehicle. The device is a combination of hardware and software components, which work together to detect the driver's drowsiness and take appropriate actions to prevent accidents.
How it's made
Challenges we ran into Had faced errors while training the data set, also faced error with the syntax as the syntax of Tensorflow was updated with the 2.5+ version. So, I read the full documentation of new tensorflow version, and finally was able to rectify the problem.