Design and Implementation of Trace Inspection System Based upon Hyperspectral Imaging Technology.

Area of Science:

• Forensic Science
• Imaging Technology
• Spectroscopy

Background:

• Trace evidence analysis is crucial in criminal investigations.
• Digital technologies are increasingly integrated into forensic trace inspection.
• Hyperspectral imaging offers a promising non-destructive approach for detailed trace analysis.

Purpose of the Study:

• To design and implement a trace inspection system utilizing hyperspectral imaging technology.
• To evaluate the effectiveness of hyperspectral imaging for identifying and analyzing various crime scene traces.
• To enhance the accuracy and image restoration capabilities of forensic trace inspection.

Main Methods:

• Application of non-destructive testing principles within hyperspectral imaging.
• Integration of spectroscopy principles with image processing for trace identification (e.g., tire tracks, shoe soles, blood stains).
• Implementation of image denoising and least squares support vector machine algorithms to improve image quality and accuracy.

Main Results:

• The developed hyperspectral imaging trace inspection system demonstrated improved performance in accuracy and image restoration compared to traditional methods.
• Accuracy improvements ranged from 5% to 28% over traditional systems.
• Image restoration enhancements ranged from 1% to 19% over traditional systems.

Conclusions:

• Hyperspectral imaging technology significantly enhances the capabilities of trace inspection systems in forensic science.
• The proposed system offers a more accurate and effective method for analyzing critical crime scene evidence.
• Further development and adoption of this technology can advance digital forensic investigations.