Utilizing visual information perception makes it easier to obtain state-related data, such as color, position, and size. However, in industrial scenarios that require large-scale deployment and in home settings with high replacement frequency, the cost of using cameras to capture visual information can be quite high. We explore how to achieve the desired perception effects through vision-inspired computing. We will share new initiatives in the wine making industry, where vision-like information is used to observe microbial changes that are typically only visible under a microscope. In home scenarios, we investigate how to provide recommendations for oral health using vision-inspired computing.