Images processing of facial expression to predict the customer opinion towards a product

Product images in market could be depend on customer opinion towards the product. The customer opinion describes the customers' needs, therefore before the product is launched to public, it could be important to have customer observations in order to know what kind of product that customers' needs. A method to find the customers' needs is learning the costumer behaviours through their visual respons such as facial expression from the input of product's visualization. This research implements digital image processing to predict customers (as users) opinion, whether they like or dislike the product based on user's facial expression and user focus. The images of face features and skin are sparated using brightness segmentation and determining the keypoints for each face features. The sequeence of keypoints movement predicts user facial expression and user focus. The combination of these results gives an output for user opinion prediction.