The application of optical lenses in sensors is mainly reflected in optical sensors, especially in vision sensors and infrared sensors.
Optical lens is an important part of vision sensor, which directly affects the quality of image capture and processing. Modern optical lenses are designed with high contrast and low distortion, which can effectively capture light at high resolution and improve imaging clarity. In the field of artificial intelligence, especially machine learning and deep learning, high-quality imaging capabilities provide a valuable foundation for subsequent data analysis. For example, in the fields of smart home, smart transportation, smart city and intelligent driving, optical lenses can realize real-time recognition, object tracking and scene understanding by integrating deep learning algorithms .
Infrared optical lenses are also widely used in infrared sensors. For example, germanium (Ge) is suitable for the mid-infrared band, has a high refractive index and good temperature stability, and is often used in infrared imaging systems and thermal imaging cameras. Materials such as zinc sulfide (ZnS) and zinc selenide (ZnSe) are also commonly used in high-power laser systems and infrared optical systems, where they have high transmittance and low absorptance and are suitable for the transmission of infrared light at specific wavelengths.