Online image detection system and method for glass bottle

The invention relates to the field of intelligent image detection, and particularly discloses an online image detection system and method for a glass bottle, and the system employs an artificial intelligence technology based on a deep neural network model to intelligently carry out the feature coding and extraction of a shot image of the glass bottle. Therefore, a more accurate classification label for indicating whether the quality of the glass bottle is qualified or not can be obtained. Therefore, whether the glass bottle has defects or not is intelligently detected, the detection speed is increased, and the labor cost is reduced. 本申请涉及图像智能检测领域，其具体公开了一种玻璃瓶的在线图像检测系统及其方法，使用基于深度神经网络模型的人工智能技术来智能地对玻璃瓶拍摄图像进行特征编码与提取，以得到更为精准的用于表示玻璃瓶的质量是否合格的分类标签。这样，智能检测玻璃瓶是否存在缺陷，提高了检测速度，降低了人力成本。