FQ2-S40-13

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Machine Vision cameras and sensors are a critical part of a wide range of industrial applications, from product inspection and quality control to guidance and position sensing. The FQ2-S40-13 miniature visible-light cameras, from FLIR, are specially designed for industrial machine vision applications. This article describes its features, its application areas, and how it works.

Features

The FQ2-S40-13 camera has a range of features that make it ideal for machine vision applications. The key features are as follows:

• High resolution: The FQ2-S40-13 is capable of capturing images with up to 1.3 megapixels (1280 x 1024 @ 15 frames per second), enabling the capture of detailed images.
• Autofocus: The camera has an autofocus function, which ensures images are in focus regardless of the distance from the object in view.
• Small size: The camera is extremely compact, measuring just 27.9 x 28.2 x 51.0mm and weighs only 105g, making it ideal for use in machine vision system integrations.

Applications

The FQ2-S40-13 camera is designed for machine vision applications due to its size, resolution and autofocus features. It is ideal for applications such as:

• Object identification: The camera\'s high resolution makes it ideal for accurately identifying objects of different shapes and sizes.
• Quality control: The autofocus feature helps ensure that images captured are in focus, allowing for accurate detection of defects in products.
• Position sensing: The camera can be used for sensing the position of moving objects, such as robots. This can help ensure that a robot moves to an accurate position and avoids collisions.

Working Principle

The working principle of the FQ2-S40-13 camera is relatively simple. The camera captures the incoming image data and processes it, using a built-in image processor, to create an image. This image is then transferred to the host computer for display and analysis. This is done by capturing light from the environment and transforming it into electrical signals.

The camera\'s autofocus algorithm analyses the image data to identify objects of interest. If these objects are at different distances from the camera, the algorithm adjusts the focus to ensure that all objects are in focus.

Conclusion

The FQ2-S40-13 is an ideal solution for industrial machine vision applications, due to its small size, high resolution, and autofocus capabilities. Its main applications include object identification, quality control, and position sensing, and its working principle is determined by capturing and transforming light into electrical signals.

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