Acquisition position
Hans Jørgen Frydendal · Furniture and design · Växjö Auktionskammare
Acquisition position
Potential market value
Evidence strength
Market anomaly
Risk profile
Investigation rationale
Decision guardrails
Visual laboratory
Object record
3-sitssoffa: höjd 91 cm, längd 202 cm, djup 90 cm. 2-sitssoffa: höjd 91 cm, längd 145 cm, djup 90 cm. Fåtölj: höjd 91 cm, bredd 88 cm, djup 90 cm. Soffbord: höjd 53 cm, mått 130x85 cm.
Identity resolution
Ranked from independent evidence. Confirmation or rejection becomes controlled training data.
Run global research after adding the clearest available front, back, marks and label images.
Closed deal feedback
Enter the verified hammer price after the auction closes. Only verified outcomes become calibration data.
Learning guardrail
Global research evidence
Run global research to search museum and authority collections.
Comparable logic
| Comparable ID | Match | Price | Reasons |
|---|---|---|---|
| 483 | 54% | 3200.0 SEK | identity 63%, material 45%, size 62%, title 50%, manufacturer labels 45% |
| 6492 | 50% | 3000.0 SEK | identity 45%, material 45%, size 62%, title 76%, manufacturer labels 45% |
| 1744 | 49% | 200.0 SEK | identity 45%, material 45%, size 62%, title 70%, manufacturer labels 45% |
| 7899 | 49% | 350.0 SEK | identity 51%, material 45%, size 62%, title 42%, manufacturer labels 45% |
| 2158 | 49% | 8000.0 SEK | identity 47%, material 45%, size 62%, title 54%, manufacturer labels 45% |
| 15107 | 48% | 750.0 SEK | identity 45%, material 45%, size 62%, title 58%, manufacturer labels 45% |
| 15264 | 48% | 2000.0 SEK | identity 45%, material 45%, size 62%, title 56%, manufacturer labels 45% |
| 15583 | 48% | 848.0 SEK | identity 45%, material 45%, size 62%, title 56%, manufacturer labels 45% |
Automatic signature module
The local engine detects and isolates candidate regions, searches the trusted mark library and runs conservative signature forensics. Optional AI interprets unreadable regions and creates research queries without changing the forensic verdict.
The module runs during normal analysis when a local image is available.
Marks laboratory
110 independent methods generate cleanup variants, stroke and symbol descriptors, library matches, trust controls and conflict warnings.
Signature forensics
This does not declare a signature genuine. It measures fit against a multi-source reference set, confusing signers and natural variation.
Run mark matching first, then compare the questioned signature against a sufficiently broad trusted reference set.