International Journal Of Imaging

Abstract

WEAPON DETECTION USING DEEP LEARNING

Author: D. HARSHIK REDDY, K. SHARATH CHANDRA, B. RAGHAVENDRA, A. MOKSHITH REDDY, J.HEMALATHA

Abstract:

Withinthisproject,Duetothefactthatcrimetendstoincreaseatmajoreventsorinisolated,unsettlingareas, security is always the first priority in every industry involved in this project. Computer vision addresses a variety of problemsandiswidelyutilizedinanomalydetectionandmonitoring.Videosurveillancesystemsthatcanrecognizeand analysesituationsandunexpectedactionsarebecomingmoreandmore Researchperformsautomatedgun(orweapon) identificationusing FasterRCNN andConvolutionNeuralNetwork(CNN)basedSSDalgorithms.Two distincttypesof datasets are utilized in the proposed methodology. There were two datasets: one comprised a list of manually labelled photographs, and the otherhad pre-tagged images.When combined, the findings demonstrate the excellent accuracy of both methods; nevertheless, their practical use may be contingent on how well speed and accuracy are matched [1].