Blink detection is considered a useful indicator both for clinical conditions and drowsiness state. In this work. we propose and compare deep learning architectures for the task of detecting blinks in video frame sequences. The first step is the training and application of an eye detector that extracts the eye regions from each video frame. https://cosmeticsolutioners.shop/product-category/concealer/