Deep Learning Based Classification of Military Cartridge Cases and Defect Segmentation
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DOI: 10.1109/access.2022.3191328
Abstract: The final stage of the production process in the industry is quality control. Quality control answers the question of is there a defect on the surface of the products. Frequently the quality control is performed… read more here.
Keywords: methodology; classification; quality control; military cartridge ... See more keywords
A Modified Electrostatic Adsorption Apparatus for Latent Fingerprint Development on Unfired Cartridge Cases
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Forensic Sciences"
DOI: 10.1111/1556-4029.13344
Abstract: Visualization of latent fingerprints on metallic surfaces by the method of applying electrostatic charging and adsorption is considered as a promising chemical‐free method, which has the merit of nondestruction, and is considered to be effective… read more here.
Keywords: adsorption; fingerprint; fingerprint development; cartridge cases ... See more keywords
A Fully Automatic Method for Comparing Cartridge Case Images ,
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DOI: 10.1111/1556-4029.13577
Abstract: When a gun is fired, it leaves marks on cartridge cases that are thought to be unique to the gun. In current practice, firearms examiners inspect cartridge cases for “sufficient agreement,” in which case they… read more here.
Keywords: method comparing; fully automatic; method; case ... See more keywords
Classification of fired cartridge cases using 3D image capture and a comparison of database correlation method performance
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Forensic Sciences"
DOI: 10.1111/1556-4029.15089
Abstract: When firearms are used, they leave unique marks on the fired bullets and shells. Examining these marks gives clues about the crime scene and the weapon of the crime. However, due to the increase in… read more here.
Keywords: performance; evidence; classification fired; cartridge cases ... See more keywords
Authors' response to Gutierrez et al Commentary on
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Forensic Sciences"
DOI: 10.1111/1556-4029.15256
Abstract: Editor, We thank the correspondents for reviewing instances of poor comparison performance that we reported for a fraction of the firearms examiners participating in our accuracy study [1]. Unfortunately, the inferences that they draw fail… read more here.
Keywords: gutierrez commentary; quality; response gutierrez; authors response ... See more keywords