IV Bag Fill-Level and Leak Detection

Automated IV bag monitoring can be achieved using Roboflow by training an RF-DETR model to detect IV bags and classify their fill levels, followed by inspection for visible leaks using Gemini 2.5 Pro. This process is increasingly important as the demand for IV therapy grows, driven by factors such as chronic disease prevalence, increased surgical procedures, and a growing elderly population. The tutorial outlines a step-by-step approach to building this system, starting with preparing a dataset of IV bag images, training the model, and evaluating its performance, which achieved high accuracy in detecting and classifying fill levels. The workflow integrates these capabilities into Roboflow Workflows, allowing for a comprehensive IV bag inspection pipeline that includes fill-level detection, leakage assessment, and a text overlay of inspection results on the final annotated image. While the tutorial uses a small dataset as a proof of concept, a production system would require a larger, more diverse dataset to ensure reliability and accuracy in real-world applications, especially in a manufacturing setting where integration with industrial cameras could further enhance quality control processes.

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