A Review on Forensic Science and Criminal Investigation Through a Deep Learning Framework
Pinaki Pratim Acharjya, Santanu Koley, Subhabrata Barman · Advances in digital crime, forensics, and cyber terrorism book series · 2022
Deep learning (DL) is a rising field that is applied in forensic science and criminal investigation (FSCI). FSCI specialists are confronting many difficulties because of the volume of of information, little bits of confirmations in the turbulent and complex climate, conventional lab structures, and once in a while, deficient information which might prompt disappointment. The application of DNA sequencing technologies for forensic science is particularly challenging in systems biology. DL is at present supporting practically every one of the unique fields of FSCI with its various methodologies like analysis of data, pattern recognition, image handling, computer vision, data mining, statistical examination, and probabilistic strategies. In this manner, DL is helping forensic specialists and examiners by defining legitimate proof, 3D remaking of crime locations, taking care of proof viably, and dissecting it to arrive at obvious end results at different degrees of investigation and criminal justice.