Police forces could soon have an improved ability to identify criminals following the development of new fingerprint technology by a research team led by Sheffield Hallam University. Unlike traditional methods, this project produces molecular images of fingermarks by visualising chemical traces found in sweat left on surfaces.<\/p>\n\n\n\n
According to Professor Simona Francese from the research team, fewer than 80% of fingermarks collected by 43 police forces over a 12-month period were suitable for identification. The university stated that the new technology uses artificial intelligence to analyse molecular images within seconds, which is expected to increase the proportion of usable marks.<\/p>\n\n\n\n
The technology has already undergone trials with West Yorkshire Police. The system allows for the recovery of evidence that might otherwise be missed, providing a more detailed look at the composition of a print rather than just its physical pattern.<\/p>\n\n\n\n
By identifying specific molecular markers, the process can distinguish between different individuals even when prints are overlapping. The university noted that the speed of the artificial intelligence analysis significantly reduces the time required to process these complex images.<\/p>\n\n\n\n
Pete Arnold, director of Yorkshire and Humber Regional Scientific Support Services, based at West Yorkshire Police, said: “We were pleased to support the development and early testing of this innovative technology and welcome any advancement that strengthens our ability to recover evidence, protect victims and bring offenders to justice.”<\/p>\n\n\n\n
Professor Simona Francese said: “At present, under 80% of fingermarks collected by 43 police forces over 12 months could be used for identification. The technology would increase this percentage.”<\/p>\n\n\n\n
The project researchers claim the system can provide earlier visibility of evidence in criminal investigations. This automated approach is designed to provide structured assurance for forensic teams by identifying potential identification matches more efficiently than reactive manual methods.<\/p>\n\n\n\n
The research also suggests that the technology can detect specific substances within the sweat, potentially providing additional context about a suspect. Following the trials, the team is looking at how the technology can be further integrated into standard police forensic procedures across the country.<\/p>\n\n\n\n