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Paper Title : CRIMINAL FACIAL DETECTION AND OCCURRENCE PREDICTION USING DEEP LEARNING

ISSN : 2395-1303
Year of Publication : 2022
10.5281/zenodo.7294891

Authors: Dr Subba Reddy Borra, Jahnavi Ch ,Tejaswini M, Rishitha M

         


Abstract
Different ongoing headways in profound learning models have enormously helped the presentation of semantic example acknowledgment utilizing pictures. Different state assessment of a singular like profound state and other certain person elements or characteristics can be assessed from the facial pictures. With this inspiration, in this work we are endeavoring to construe criminal propensity or (wrongdoing forecast/discovery) from facial pictures by utilizing the learning capacities of different profound learning models. All the more unequivocally two sort of profound learning models we have utilized in this review: standard convolutional brain organization (CNN) design and pre-prepared CNN structures, to be specific VGG-16, VGG-19, and InceptionV3. We have done an exhibition similar examination among these models for productively catching criminal qualities from a human face.

Reference
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Keywords
— AI, PC vision, PC Vision.