Deep learning-based image identification technologies have advanced dramatically subsequently. Investigating crimes has shown to benefit greatly from the use of forensic analysis. By examining tangible evidence, forensic analysis offers proof and fundamental details about the alleged crime. This study focuses on an exciting method for improving CCTV footage’s visual quality to help with criminal case investigations. CCTV is used to gather face data comprising seven distinguishable aspects from a person during the pre-processing stage of face recognition. Deep learning is used for identifying facial features in the gathered dataset after it has been annotated and classified. When at least four features are identified, the image data is interpreted as human, and 81 feature vectors are used to compare the face in detail against user data that has been saved. Machine learning techniques and pure image processing methods are used to address this issue of image enhancement. After analyzing the two aforementioned methods, this study came to the further conclusion that the machine learning strategy yields a more effective outcome. This method can be used for both basic picture filtration and sophisticated forensic image processing.