Generative AI Powered Forensic Device
Vanita Ganesh Kshirsagar, Digvijay G. Bhosale, Shubhangi S. Suryawanshi, Anita Sachin Mahajan, Pramod Patil, Jyotsna Vilas Barpute, Prashant Ahire, Rahul A. Patil · 2024
Crime is a dominant concern in contemporary society. It is crucial to prevent it and deliver justice promptly. Forensic science is critical for criminal investigations and maintaining law and order. The traditional tactics utilized in this field are frequently based on manual procedures, which are both time-consuming and prone to error, rendering them ineffectual in providing prompt and dependable justice. Utilizing automation and advanced technologies for forensic science and crime scene investigation is now essential. This paper suggests a portable gadget that utilizes Internet of Things (IOT), Machine Learning and Deep Learning to predict, gain understanding, and possibly recognize offenders. This gadget is designed to reconstruct fingerprints, detect weapons and recognize suspicious activities. It utilizes algorithms and technologies like autoencoders, GANs, SSD and YOLOv8. We talk about the benefits of merging these technologies into one easy-to-use device, which will offer data integration, instant data processing, and improved forensic analysis. The article offers information about automating important areas to improve investigative processes and enhance the criminal justice system's efficiency and effectiveness in the future.