Abstract: Artificial intelligence (AI) has been playing an increasingly important role in the development of new technologies across various domains. One such domain is law enforcement, where AI-based tools can be used to improve the efficiency and accuracy of suspect identification. In this project, we propose a system that generates facial images of suspects based on input text descriptions using the Stable Diffusion AI model. The existing systems for suspect identification rely on eyewitness accounts, sketches, and/or composite images, which can be unreliable and time-consuming. Our proposed system uses AI-based image generation to provide law enforcement agencies with a more efficient and accurate method for generating facial images of suspects based on input text descriptions. The proposed system consists of four modules: input processing, image generation, user interface, and database. The input processing module receives the text description of the suspect's appearance and pre-processes it to remove any unwanted characters. The image generation module uses the Stable Diffusion AI model to generate a latent vector ...
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DOI:
10.17148/IJARCCE.2023.125106
