For police, prosecuting attorneys, criminologists, and forensic scientists alike, emerging technologies will almost certainly revolutionize the future of forensic science, making the capture and conviction of criminals increasingly likely. These technologies can help investigators in missing persons cases, cold cases, sexual assault cases, and murder cases. Although potential dangers related to personal privacy have caused controversy about the use of these technologies, it seems clear that these ten cutting-edge innovations in the future of forensic science also promise enormous benefits to authorities, victims, victims' families, and society in general. In addition, people's faces change over time, and donning a pair of sunglasses or growing a beard can prevent the technology from making a match between the photos. Videos, which offer a series of images, should, in theory, provide a better chance for forensic science to identify a suspect, but that doesn't always happen, as the case of the Boston Marathon bombing proves: In a test of three facial recognition systems, only one identified Dzhokhar Tsarnaev, and none of them recognized Tamerlan Tsarnaev, who wore sunglasses.

DeepQuanty Artificial Intelligence Labs applies computer vision and artificial intelligence to solve problems in various sectors including BFSI, retail, e-commerce, and healthcare. All the three of them have other successful businesses in the analytics and technology domains. Their products extract data from images using computer vision and process the data using machine learning techniques for better end-use. "Our mission is to drastically improve customer experience (CX) while improving cost efficiencies," says Mahadevan Jayaram, Co-Founder, DeepQuanty. Currently focusing on the BFSI sector, DeepQuanty later aims to leverage the patent-pending technologies in other domains such as healthcare, retail and such.