Menon, A. (2023). Leveraging Facial Recognition Technology in Criminal Identification. Interdisciplinary Innovations and Developments towards Smart and Sustainable Industries https://doi. org/10.13052/rp-978-87-7022-828-2.
Facial recognition technology has come a long way since its inception in the 1960s. Today, it is being used in a variety of applications, including criminal identification. In a recent paper by Arjun Menon et al., the authors discuss the use of facial recognition technology in criminal identification and how it can overcome the flaws of traditional methods.
Traditional methods of criminal identification, such as biometrics or DNA analysis, require the criminal to leave a physical trace. This can be time-consuming and may not always yield results. Facial recognition technology, on the other hand, automates the process and can deliver outstanding results in detecting criminals. Powered by artificial intelligence, facial recognition technology can identify individuals even if they try to conceal their identities by disguising their faces or covering them with scarves or masks.
The paper also discusses the history of facial recognition technology and its workflow. The authors suggest that an automated criminal recognition system can be created by applying several strategies for detection, embedding, and recognition. For example, Multi-task Cascaded Convolutional Networks (MTCNN) can be used for detecting and aligning faces in photographs, while FaceNet can be used for generating face embeddings.
The authors also discuss the future scope of facial recognition in crime. They suggest that an elegant face identification system can be automated to identify thieves using CCTV cameras located in several locations. This technique can also be used to locate missing persons after natural disasters and other mishaps. The system can be enhanced to recognize multiple faces at once and to recognize faces in hazy or cropped photos.
In conclusion, facial recognition technology is a powerful tool for criminal identification. It automates the process and can deliver outstanding results in detecting criminals. As the technology continues to evolve, it is likely that we will see more applications of facial recognition in crime prevention and detection.
