Abstract
ABSTRACT An evaluation of forensic hair analysisbetween experts, novices and the recently developed machine learning platform, HairNet, was conducted to assess accuracy and reliability. Our hypothesis stated experts and the machine learning platform will outperform novices in classifications of hair as human or non-human and suitability for nDNA analysis based on specialist knowledge and from training of the model. Statistically significant differences between novices and experts were found and attributed to training and experience for more complex classifications. For more simplistic classifications, no statistically significant difference between the novice and the experts was found. HairNet proved responses similar to expert responses in all classifications. Encouraging feedback was received regarding the use of technology and machine learning. The utilization of technology undoubtedly holds great promise to become part of the forensic tool kit for improving the efficiency and reliability of forensic hair analysis and in research, education and competency testing.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
