<p dir="ltr">Glaucoma affects over 100 million people worldwide, and its prevalence continues to rise. This disease often progresses unnoticed in its early stages, with many patients only seeking medical attention when the condition has advanced significantly. Regular screening is crucial for early detection, with visual field testing established as one of the gold standards. However, the high costs associated with professional perimetry equipment, typically over $100,000, alongside the need for frequent hospital visits, make routine screening inaccessible for many. Recent advancements have explored the use of eye trackers for visual field testing in a research context, though these devices remain prohibitively expensive, often exceeding tens of thousands of dollars. This paper uses the low-cost eye tracker to build the diagnosing environment, obtains the subject's eye movement data through the eye tracker, and imitates the experimental process of visual field detection in traditional methods to get the visual field range. Later, according to the visual field range and the medical symptoms of glaucoma, it can be used to preliminarily diagnose whether there is glaucoma. In this experiment, only the blind spot area is tested as a demo. After a small scale test, this system can successfully test the size of the blind spot area of the visual field. In addition, according to the eye movement characteristics of glaucoma patients during the searching process, we provide a set of material image resources that require a large amount of search and establish a tool for subsequent visual analysis.</p>