JimS

FixFrame transforms visual inspection evidence into human-verified maintenance work orders. Combining Meta SAM 3.1 for visual-region segmentation with Muse Spark for multimodal understanding, FixFrame analyses inspection images and contextual information to identify potential issues and generate structured findings with supporting evidence and explicit unknowns. Unlike conventional AI defect-detection tools, FixFrame introduces a human-in-the-loop verification workflow. Reviewers can inspect, edit or reject AI-generated findings, preserve provenance, and explicitly approve an issue before generating an actionable maintenance work order. The workflow extends from visual observation to issue understanding, human verification, work-order creation, checklist management and audit tracking. **Observe → Understand → Verify → Act.** FixFrame demonstrates how multimodal AI can transform visual observations into accountable operational actions while keeping humans in control.