Medical Device Assembly Verification
Blog post from Roboflow
ICU Medical's recall of IV gravity burette sets in 2025 due to a missing shutoff valve highlights the importance of verifying medical device assembly to prevent uncontrolled fluid flow into patients. This text outlines a workflow using Roboflow to automate the verification process by leveraging Google Gemini's ability to identify devices from images and infer their necessary components. By comparing the expected components with those visible in the image, the system flags any missing parts and provides a structured report with pass/fail status and confidence levels. The workflow includes several processing blocks, such as image input, JSON parsing, and Python scripting, to ensure accurate detection and logging of components. It can seamlessly adapt to different medical devices without additional setup, and its application is suitable for both cloud and edge device deployments, allowing for high-confidence results to be handled automatically and uncertain cases to be reviewed by humans.
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