This paper aims to propose wasp detection system using artificial intelligent (AI) technology to support beekeepers. The YOLOv8x was selected for wasp detection modelling. The proposed wasp detection model was trained, validated, and tested based on the dataset collected from Roboflow which is the open data source. There were 18,425 images collected meticulously categorized into training (88%), validation (8%), and test (4%) sets. An overall performance of this proposed model is around 85% of confidence score. According to the results, the proposed model can effectively identify and classify wasps with high precision and recall rates. Moreover, beekeepers can receive real-time notification as text and image via LINE chat application, which is crucial for timely intervention in protecting beehives from wasp attacks.