Automated Firearm Classification From Bullet Markings Using Deep Learning by Pattranit Pisantanaroj, Pimlapus Tanpisuth, Piyawut Sinchavanwat, Siriporn Phasuk, Phongphan Phienphanich, Parinton Jangtawee, Kittisak Yakoompai, Montri Donphoongpi, Sanong Ekgasit, Charturong Tantibundhit

“…The top three state-of-the-art CNNs pretrained on ImageNet-DenseNet121, ResNet50, and Xception-were further trained on the same training set, which was composed of 718 bullets collected from eight different firearm brands-Beretta, Browning, CZ, Glock, Norinco, Ruger, Sig Sauer, and Smith & Wesson-using a five-fold cross validation technique. …”
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Analysis on the Next Generation Assault Rifles and Ammunition Designed for the US Army by Miroslav DIMITROV

“…These are the following companies Sig Sauer, General Dynamics, and Textron systems. All companies have submitted prototypes for the next generation assault rifle that are the subject of the analysis in this paper. …”
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Does cal .22 Improve Marksmanship for Police Students in Sweden? by Hans Löfgren, Jonas Hansson

“…The intervention group received an adjusted version of the Sig Sauer handgun that was changed to fire .22 long rifle caliber ammunition. …”
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Interaction of gunshot residues (GSR) with natural and synthetic textiles having different structural features by Silvia Fabbris, Antonella Profumo, Gianluca Alberini, Sara Bonomi, Chiara Milanese, Matteo Donghi, Alberto Amadasi, Maddalena Patrini, Lucia Cucca, Daniele Merli

“…Microscopic structures of the chosen textiles were characterized by optical microscopy, and their surface morphology was characterized by stylus profilometry. A semi-automatic Sig Sauer P228 pistol, calibre 9 × 21 mm IMI, was exploited and two shooting distances were considered, 10 cm and 40 cm. …”
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