LiqD: A Dynamic Liquid Level Detection Model under Tricky Small Containers

arXiv:2403.08273v1 Announce Type: new
Abstract: In daily life and industrial production, it is crucial to accurately detect changes in liquid level in containers. Traditional contact measurement methods have some limitations, while emerging non-contact image processing technology shows good application prospects. This paper proposes a container dynamic liquid level detection model based on U^2-Net. This model uses the SAM model to generate an initial data set, and then evaluates and filters out high-quality pseudo-label images through the SemiReward framework to build …

abstract application arxiv containers cs.ai cs.cv daily detection dynamic good image image processing industrial life limitations measurement paper processing production prospects shows small technology type