Big Data in Forensics

Big Data News

Big-Data-in-Forensics Big Data in ForensicsRecently, with advancements in the field of Big Data Analytics, many forensic scientists and engineers are increasingly implementing the technology for use in crime scene forensics to aid investigators and law agencies.

Based on crime scene data such as fingerprints, bullets, shell casings, and broken glass fragments, which all leave traces of the source, investigators can track back to prove beyond doubt who the culprit is.

Further advancements in forensic sciences including the DNA technology, has relieved a heavy burden off the shoulders of investigators, helping them identify criminals. Today, many previous pending cases, which couldn’t be solved due to lack of actionable data, are now being solved with the help of forensic sciences.

The forensics sector is increasingly moving towards incorporating data analytics, with forensic labs hiring professionals and training them by assigning real-world cases, to help them analyze and look for suspicious patterns or activities to nab the criminals. Further, these labs also have raised evidence standards for submissions by police personnel to help solve crimes with much accuracy and eliminate the possibility of error. These labs are incorporating, newer data collection and analytics tools and lab management software, reforming themselves to increase their effectiveness in solving crimes.

When it comes to fingerprints, these labs incorporate software tools like FRStat, to test how strong is the fingerprint evidence footprint. The system, retaining human analysts, compares two prints and documents the areas of similarities. Then, the software tells the likelihood of similarity based on prints from the same source, and from two different people, using the existing fingerprints database.