Research abstract: An inspection in tablet appearance integrity before bottling is regarded as a routine task in a pharmaceutical factory. Although some methods such as automated optical instrument, video or artificial intelligence (AI) are currently available in industry, it usually pays for a complex computational process as well as high cost. Based on the symmetry of tablet appearance in reality, this study develops a biaxial scanning slope symmetry algorithm to realize a dynamic real-time tablet defect detection with a simple arithmetic operation. First, the tablet is discretely scanned using image sensor in two axes, i.e. X and Y directions, simultaneously. Second, the analogy output signals generated from the sensor during the scanning process is discretely digitized and stored in an array. Third, the coordinate of center point in the series data array is identified from every line scanning. Fourth, every section slope between two nearby center points from the first to last lines is formulated and calculated sequentially. Finally, the square mean error (SME) is used to evaluate the shape defect situation according to all accumulated errors from every slope variation. Besides, the proposed module will also include a Human Machine Interface (HMI) working as an operation panel. The data collected by the microprocessor will be transmitted the cloud (Microsoft SQL Server) through Wi-Fi module. Then, the graphical user interface (GUI) is designed to monitor real-time tablet inspection information as well as data statistics, analysis and history tracking, etc. The initial test results verify that the proposed algorithm can achieve both fast and accurate detection performance. It also confirms that the proposed model can be further realized and applied to the pharmaceutical factory. Note: TEEP student will be provided stipend 17,000 NT$/per mon. However, they need to pay their living costs such as accomondation, traffic, food, etc. On-campus dormitory is available to apply for.