Machine vision is the process of enabling machines to perceive and recognize images, similar to human vision. This technology holds significant potential in various fields, including autonomous driving, safety monitoring, intelligent traffic systems, and automated facilities. A machine vision system comprises three main sections: image acquisition, image analysis, and action implementation. Machine Vision Filters are a critical part of the image acquisition section, designed to improve image quality by manipulating the spectral characteristics of the light entering the image vision system, making the observation of the objects clearer. A machine vision filter can be used to enhance image contrast, adjust color rendition, block unwanted illumination and glare, or bring down the brightness of the image without changing the exposure time or adjusting the f/#. 

Shanghai Shalom initiated research on machine vision filters in 2006, succeeding in the development of various specialized filters, such as ultra-thin narrowband pass filters at 850nm and 940nm for human face identification, 780nm filters for sweeping robots, and 905nm and 1550nm filters for unmanned vehicles. These filters are available in standard and custom options for diverse applications. We offer a full portfolio of machine vision filters. This page features our standard machine vision filters, where a large stock of bandpass filters are available. We also provide custom machine vision filters such as shortpass filters, longpass filters, ND filters, color filters, etc. The machine vision filters are available in mounted versions for ease of integration into imaging lenses.