Review on Object Identification Using Mobile Camera System

Over the past 20 years, object detection has developed into a productive research area and an extensively used task in computer vision. It aims to rapidly and simply find many different things in a given image using specified categories. Based on the training model approach, the algorithms can be separated into two groups: One is the detection single-stage algorithms. The other is the detection of two-stage algorithms. In this study, sample processes for every stage are briefly announced. Following a review and discussion of several fundamental techniques, this article introduces public and proprietary datasets that are often used in object detection. Thus, the challenges in object recognition are noted.