Children and guns: The detection of recent contact with firearms on children's hands by the PDT reagent

Bar-Or, Karni L.; Almog, Joseph

doi:10.1016/j.forsciint.2015.05.008

Cited by 4 publications

(2 citation statements)

References 20 publications

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“…In a recent study, it was reported that such impressions could be visualized by spraying with the chemical reagent 3-(2-pyridyl)-5 ,6-diphenyl-1,2,4-triazine (PDT) [4,5], which forms a tris complex, [Fe(PDT) 3 ] 2+ , with iron(II). This complex is magenta in color and has a molar absorptivity of 2.36 × 10 4 L/mol cm at 563 nm [6].…”

Section: Introductionmentioning

confidence: 99%

2,4,6‐Tri(2′‐pyridyl)‐1,3,5‐triazine for determination of iron(II), Iron(III), and total iron contents on human palms

Wang

2023

Journal of Forensic Sciences

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When iron-based tools, such as knives or guns, are held, traces of iron can transfer to the skin. However, no previous studies have been published regarding the effect of the elapsed contact time on the transfer of iron species with different valences to the palm. Compared with 3-(2-pyridyl)-5,6-diphenyl-1,2,4-triazine (PDT), 2,4,6-tri(2′-pyri dyl)-1,3,5-triazine (TPTZ) was found to exhibit a higher sensitivity to iron(II) spectrophotometrically. This work employed 2,4,6-tri(2′-pyridyl)-1,3,5-triazine (TPTZ) and UV spectrophotometry to determine the amounts of iron(II), iron(III), and total iron transferred to human palms from iron tools. It was found that the palmar moisture level was

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Section: Introductionmentioning

confidence: 99%

2,4,6‐Tri(2′‐pyridyl)‐1,3,5‐triazine for determination of iron(II), Iron(III), and total iron contents on human palms

Wang

2023

Journal of Forensic Sciences

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“…Overall, using deep learning algorithms for fingerprint recognition can provide a reliable and secure way to identify children, improving their safety in various settings. By accurately distinguishing between different children's fingerprints, these systems can help ensure that children are correctly identified and protected in emergencies [15][16]. A deep learning approach that uses class-based penalties throughout the filter learning process of a convolutional neural network is suggested.…”

Section: Introductionmentioning

confidence: 99%

Enhancing child safety with accurate fingerprint identification using deep learning technology

Sahy¹,

Niu²,

Khalaf³

et al. 2023

PEN

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Utilizing deep learning algorithms to differentiate the fingerprints of children can greatly enhance their safety. This advanced technology enables precise identification of individual children, facilitating improved monitoring and tracking of their activities and movements. This can effectively prevent abductions and other forms of harm, while also providing a valuable resource for law enforcement and other organizations responsible for safeguarding children. Furthermore, the use of deep learning algorithms minimizes the potential for errors and enhances the overall accuracy of fingerprint recognition. Overall, implementing this technology has immense potential to significantly improve the safety of children in various settings. Our experiments have demonstrated that deep learning significantly enhances the accuracy of fingerprint recognition for children. The model accurately classified fingerprints with an overall accuracy rate of 93%, surpassing traditional fingerprint recognition techniques by a significant margin. Additionally, it correctly identified individual children's fingerprints with an accuracy rate of 89%, showcasing its ability to distinguish between different sets of fingerprints belonging to different children.

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A modified trace metal detection test for secondary imprints on porous substrates: A preliminary study

Xing

Yang

Liu³

et al. 2019

Forensic Science International

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Children and guns: The detection of recent contact with firearms on children's hands by the PDT reagent

Cited by 4 publications

References 20 publications

2,4,6‐Tri(2′‐pyridyl)‐1,3,5‐triazine for determination of iron(II), Iron(III), and total iron contents on human palms

2,4,6‐Tri(2′‐pyridyl)‐1,3,5‐triazine for determination of iron(II), Iron(III), and total iron contents on human palms

Enhancing child safety with accurate fingerprint identification using deep learning technology

A modified trace metal detection test for secondary imprints on porous substrates: A preliminary study

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