The needs of having locations identification are so important in this technological era. Locations identification has been implemented in so many areas nowadays. The challenge in this system is to identify location in real-time. Here, real-time refers to the process of capturing the location and recognize it at the same time. This research proposes a location identification system using Kinect, which is a high speed vision sensor that has been used for Xbox 360 video games. This research is to evaluate the optimum image detection distance, image size and processing time in identifying the locations that have been trained. The algorithm uses the Point Matching Features from the MATLAB software. From here, features are generated from both real time and training images being compared and the matching points between them will be used to identify the locations.