FQ2-S30-13

The FQ2-S30-13 is an industrial camera designed for machine vision applications. Machine vision is an interdisciplinary field that involves the use of digital cameras in robotic automation, recognition systems, quality assurance, and other industrial applications. The FQ2-S30-13 is manufactured by the Chinese company Nanjing Fumei, and is designed to detect defects in manufactured parts with high accuracy and precision.

The FQ2-S30-13 is a high-speed vision camera with exceptionally high resolution and frame rate, enabling precise recognition of defects in rough surfaces. It uses a 3.2 megapixel sensor, capable of capturing images up to 1600 x 1200 pixels with a maximum sensitivity of around 0.5 lux. The frame rate of the camera is up to 60 fps, allowing for fast detection and analysis of objects.

The FQ2-S30-13 also features a unique dual lens technology, enabling two images to be captured simultaneously. This can be used for stereo vision applications, for example, to measure distances accurately. With the adjustable frames per second (fps) setting, users can optimize their frame rate as per their requirements.

The FQ2-S30-13 is specifically designed for machine vision applications, with a range of features to ensure precise recognition of defects and analysis of objects. It features hot pixel correction technology to eliminate hot pixels, enabling more accurate picture acquisition and image processing. It also features noise reduction technology to reduce noise in images, allowing for a more accurate image analysis and processing. The FQ2-S30-13 is also capable of horizontal flipping of images, and can be used with a range of operating systems, making it flexible and highly compatible.

The FQ2-S30-13 is a high-performance camera designed for machine vision applications. Its features and technologies make it an ideal solution for applications involving automated defect detection, precision measurements, and other industrial processes. With its powerful capabilities, the FQ2-S30-13 is able to provide a reliable, durable, and precise means of accomplishing machine vision tasks.