There are many ways to evaluate the customers' service processes efficiency of the casual dining restaurant. One of which is the service speed measured by the amount of time a customer spends waiting for service during each service period. Currently, the object detection system based on deep learning techniques is constantly evolving and high accuracy. In general, restaurants are equipped with more CCTV to apply that information to the employee's service detection techniques. This research aims to develop and improve customer service by monitoring ...

Thai word segmentation and Part-of-Speech (POS) tagging is still a very active research area. However, previous studies mostly focus on rule-based models or generative models such as the Hidden Markov Model (HMM), which may not suitable for segmenting an unknown word. In this research, we present a novel technique to deal with the problem of word segmentation for a language without explicit word boundary delimiters, like Thai, Chinese, or Korean. This research proposes a machine learning model called the Conditional Random Field (CRF) to segment ...