Using LLM Model to Process Sensor-detected Images

Modern digital Image processing was developed within the 1960s at Massachusetts Institute Of Technology. Image processing is still a popular topic in recent technology development as countless industries need to process the image in an efficient and economical way. In this paper, this paper will first briefly introduce the features of the large language model (LLM). Then, a discussion between the LLM and the sensor will be set up, introducing the feasibility that LLM can process the image effectively. In the next section, this study conducts an experiment on a LLM-based image-recognizing program to indicate language models are indeed competent in describing what happens in the image. The whole experiment flow will be go through detailedly and some experiment data is going to be presented. Lastly, a conclusion to the experiment will be made, including the usages of the program in the experiment, and the possible improvement of the experiment and the program in future.