Verified Identity
DMC, QR, OCR and shape analysis combine to identify each instrument—even identical-looking ones get a distinct identity.

ClariTrace™ shifts the standard from tracking “where it is” to verifying “what it is, and whether it is correctly configured,” redefining and expanding surgical instrument management.
Ultimately, the new instrument management structure ClariTrace™ proposes is a three-stage chain. “Verified Identity” → “Set Configuration Verification” → “Traceability”
Hospitals still rely on manual visual inspection to prepare and verify surgical instrument sets.
Barcode and RFID tracking records where a set has moved. It cannot automatically verify the identity of each instrument inside the set.
Is the exact set for this procedure ready? Tracking systems struggle to answer for configuration completeness. Tracking alone cannot verify surgical instruments.
Verify each instrument's identity and the set configuration at once, and deliver instrument-level traceability as the result.
DMC, QR, OCR and shape analysis combine to identify each instrument—even identical-looking ones get a distinct identity.
Compared against the registered set configuration to confirm nothing is missing, mixed in or duplicated.
Digital tracking of every instrument across the hospital—CSSD, OR, wards and outpatient departments.
With ClariTrace™ Vision Station, instruments are captured all at once without per-instrument scanning or complex positioning, and the identity of each instrument and the set configuration are verified.
Instruments with varying marking quality are processed through four parallel analysis paths to produce a single Verified Identity.
Data Matrix · QR decoding
Engraved text · manufacturer marking
Appearance-based recognition
Structure · geometry analysis
Not a simple count—configuration accuracy is verified, and problem instruments are highlighted at their actual position on the work surface.
Registered but not found in the actual set
Correct count, but a different instrument included
More than the required quantity
Instrument not registered to the set
Keep the existing wash, sterilize, assemble and store flow, and connect Vision Station verification where it matters.
DMC, QR, OCR and shape analysis combine to identify each instrument.
Compares the set configuration with the actual work surface to detect missing, wrong or duplicate items.
Links instrument-level verification results and usage history as data.
Standard APIs connect verification data with existing hospital systems.
From tracking to verification. ClariTrace™ confirms each instrument's identity together with the set configuration, and delivers data-driven traceability hospitals can use in daily operations.
Identity is created and verified per instrument, not per set.
Up to 200 instruments verified at once from a single image capture.
Tip, curvature, length, contour and geometry distinguish similar instruments even when markings are missing or damaged.
The same identity framework extends to containers, micro-screws, surgical needles and implants.
Standard APIs connect instrument-level identity and verification data with your existing HIS.
Set completeness verified · standardized verification
Less manual work · faster verification · standardized tasks
Usage history · location and asset status · data-driven operations
Repair and maintenance history · preventive maintenance · lifecycle
Accumulated verification data · operational analytics · decision support
Deep-learning AI vision recognizes and identifies each surgical instrument through DMC, QR, OCR and structural shape analysis.
Based on the recognition and identification data from ClariTrace™ Vision Station, it verifies the accuracy and completeness of surgical instrument sets in the CSSD.
Department, user, instrument, set and work transaction data are integrated through a standard API.
Explore the product configuration, core recognition technology and hospital workflow integration with images.

An AI verification device that identifies instruments from a single image capture and verifies set accuracy and completeness.

DPM, OCR, AI Vision and Structural Shape Analysis combine to determine each instrument's identity with or without markings.

Keeps the existing wash, sterilize and assembly workflow while adding AI verification and traceability steps.
SIMSTECH Inc. is a medical IoT company delivering smart medical asset management systems built on AI, computer vision and RFID.