Results 171 to 180 of about 1,527,271 (248)

Deep learning-based automated detection of Micro-cracks in monolithic zirconia crowns using Micro-CT imaging: An <i>in vitro</i> study. [PDF]

Bioinformation
Chauhan GK, Sinha RR, Mehta R, Chhabra U, Gawande SD, Arora P.   +5 more
europepmc   +1 more source

Preventing spread of the invasive spotted lanternfly via texture-based automated egg detection. [PDF]

Front Insect Sci
Negrete K, Butler R, Wallis E, Magnani E, Mcglynn MB, McDonald M, Alvarez NJ, Tang M.   +7 more
europepmc   +1 more source

A Real-Time Mobile Robotic System for Crack Detection in Construction Using Two-Stage Deep Learning. [PDF]

Sensors (Basel)
Ogun E, Voeurn YA, Lee D.
europepmc   +1 more source

Incorporating defects and moisture in MOE evaluation for automated timber grading. [PDF]

Sci Rep
Ji M, Zhang W, Cai L, Zhao Y, Miao H, Gao R, Wang G, Han J, Diao X, Zha Z.   +9 more
europepmc   +1 more source

Single-use solutions for PUPSIT: requirements, challenges, and solutions. [PDF]

Appl Microbiol Biotechnol
Glenz M, Eiermann P, Manser B, Teschner H.   +3 more
europepmc   +1 more source

A Statistically Grounded and Physics-Aware Vision Framework for Detecting Barely Visible Impact Damage (BVID) in Heterogeneous Polymer-Matrix Composites. [PDF]

Polymers (Basel)
Duran G.
europepmc   +1 more source

Automated Visual Inspection: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1982
This paper surveys publications, reports, and articles dealing with automated visual inspection for industry. The references are organized according to their contents: overview and discussions, rationales, components and design considerations, commercially available systems, applications.
Charles A Harlow
exaly   +5 more sources