Innovative Region Convolutional Neural Network Algorithm for Object Identification

Object identification is a part of the field computer science, namely, image processing, whose research continues to innovate. describes an object based on main characteristics object. Many innovations related have been carried out obtain optimal results. The convolutional neural network (CNN) one algorithms that widely used by researchers in or recognition digital images. purpose this study was analyze development search for best algorithm terms speed and efficiency identification. article data were obtained from several sources, Dimensions AI, Science Direct, Google Scholar. database results 1041 articles form publications 2010–2021. Through systematic literature review obtained, 32 selected. evaluation visualization, development, objects used. CNN’s innovation growing rapidly, with improvements being made techniques its algorithmic architecture. use CNN objects, starting region technique, improved Fast R-CNN, Faster-CNN, Mask R-CNN. has developed facial moving images introduction ancient manuscripts are useful history tourism. successful scripted texts will greatly assist availability such format, which allows further multidisciplinary research. format also helps government preserve culture increase people’s understanding they have.