关键词: 深度学习, 智能冰箱, 模型融合, 果蔬识别, 数据融合

Abstract: Food recognition is one of the core technologies for a smart refrigerator. As there are many kinds of food in a refrigerator that may be in a mass, it is a challenge for food recognition in the smart refrigerator. In order to improve the efficiency of food recognition, this paper proposes an architecture of data collection, data processing and image recognition for smart refrigerators. In addition, this paper proposes an approach of fruits and vegetables recognition, which uses multi-model data fusion based on deep learning techniques. This solution remarkably improves recognition accuracy of fruits and vegetables. Extensive evaluations using a large number of food images show that the proposed approach has good performance and high recognition accuracy that can meet industrial requirements on food recognition in refrigerators.

Key words: deep learning, smart refrigerator, multi-model fusion, fruits and vegetables recognition, data fusion