Multimodal object identification as a research platform.
Project Oracle investigates how imaging, text recognition, structured databases, physical sensing and intelligent classification can work together to identify and evaluate physical objects.
Research objective
Develop a repeatable platform that captures multiple forms of evidence from an object and combines them into increasingly confident identification and evaluation.
Current development areas
Automated handling, camera acquisition, perspective correction, region analysis, OCR, database matching, candidate ranking and additional physical sensing methods.
Capture → Interpret → Compare → Rank
Capture
Acquire controlled imagery and sensor observations.
Interpret
Extract text, visual features and other measurable characteristics.
Compare
Match observations against structured reference data.
Rank
Return evidence-based candidate identifications for review or downstream automation.