Feature Extractable CMOS Image Sensor Pixel with RGB to Grayscale Conversion

For the coming trillion sensors universe, image recognition based on deep learning is becoming increasingly important. However, since feature extraction is taken place prior to classification in a neural network, data captured by conventional image sensors are redundant. Our research group has proposed an image sensor that can extract lightweight features, and confirmed that the data size of the feature data is reduced by 97.7% compared to the conventional RGB color image with recognition accuracy decreased by 13.0%. In this paper, a pixel device for the feature extractable image sensor is presented, which can output both RGB color image and the feature that is grayscale horizontal edge.