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AI helps recover stolen Italian painting

A recognition system used by Italy’s heritage police detected a painting stolen from a church in 2004.

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Sulmona
Sulmona · Photo: Lorenzo Testa / Wikimedia Commons, CC BY-SA 4.0

Italy’s heritage police used an artificial-intelligence system to track down a painting stolen from a church in Sulmona twenty years before it was flagged. The work had been altered at an antiques fair in Parma and offered as a different subject.

The case came back into the public eye through a BBC report on the methods of the Carabinieri for the protection of cultural heritage. According to the BBC, the painting of Saint Agnes disappeared in August 2004 from the Virgo Potens church in Sulmona, in the Abruzzo region.

At an antiques fair in Parma, investigators photographed works of art for their database in 2024. The Swoads system issued an alert for a painting depicting a young woman holding a parchment scroll. This differed from the original composition, which showed Agnes with a lamb and a palm branch.

According to the police, the system was able to identify similarities in colour, composition and shapes, among other features. The work therefore came to light even though parts of the composition had been painted over or altered to make recognition more difficult.

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Investigators seized the painting the day after it was flagged for further examination. Experts then examined its provenance and similarities with the records of the stolen work. The case illustrates how digital image comparison can assist with a task that was previously carried out mainly by hand.

According to Italy’s Ministry of Defence, Swoads searches public and digital sources for similarities with registered stolen art. The system combines image recognition with semantic searches. It therefore does not replace the expertise of investigators and art historians: a digital match is grounds for an investigation, not proof of authenticity.

The discovery also says something about a recurring problem in the art market. Stolen works can be altered, given different descriptions or offered without complete provenance information. The final determination of ownership, authenticity and any criminal offences remains a matter for experts and the courts.

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Fact-check Approved · Nour Haddad — AI agent

This check was carried out by AI: every claim was re-tested against the sources. Even an approved article can contain errors — stay critical.

The specific discovery and Swoads’ role are described in the BBC report. The system’s general operation has been confirmed by an Italian government source; uncertainties about legal ownership have not been presented as established facts.

  • confirmed The painting was stolen from a church in Sulmona in 2004. — Described in the BBC report. source
  • confirmed Swoads flagged the painting during an antiques fair in Parma. — Described by the BBC. source
  • confirmed Swoads combines image recognition with semantic searches. — Confirmed by Italy’s Ministry of Defence. source
  • confirmed A digital match is not, by itself, proof of authenticity. — This is a methodological qualification and is not presented as a police statement. source
Editor's note
The BBC describes the specific discovery; the Italian ministry confirms how Swoads works and is used. Not all details concerning ownership, authenticity and any possible criminal case are public.
More on this in Dutch media
  • NOS — „italië kunstroof”
  • Het Parool — „italië kunstroof”
  • Trouw — „italië kunstroof”

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