FQ-BAT1

Due to market price fluctuations, if you need to purchase or consult the price. You can contact us or emial to us:   sales@allicdata.com

Machine vision is an application technology used in industry, research and daily life to analyze images from various sources, such as cameras, sensors, microscopes, etc. It is widely used for various tasks, such as object recognition, defect detection and measurement. In order to accurately recognize objects in images, a wide range of accessories and equipment is required. FQ-BAT1 is one of these accessories which is specially developed for wide application fields, thanks to its flexibility and functionality. In this article, we will discuss its application fields and working principle.

Application Fields:

FQ-BAT1 is a versatile machine vision accessories, specially designed for conducting deep learning tasks. It is suitable for many application scenarios such as robotic navigation, manufacturing automation, product inspection, pattern recognition, object recognition, feature extraction and feature analysis. The device consists of four parts: a Camera module, an Edge Computing Module, a Lighting module, and a Processor module.

The Camera module is used to capture images, which can be analyzed by the Edge Computing Module, thanks to its advanced calculation capabilities. The lighting module provides suitable lighting intensity for different scenarios. Finally, the processor module is used to analyze the images and to extract relevant information.

Working Principle:

In order to work properly, the FQ-BAT1 machine vision accessory should first be connected to a computer or a robot, depending on the specific application. The images captured by the camera module are then sent to the Edge Computing Module, which runs an intelligent algorithm to analyze the images. The analysis result contains various features, such as shapes, sizes, colors, edges, etc., of the objects in the image. The Lighting module then provides suitable lighting intensity to enhance the image clarity and improve the analysis result. Finally, the Processor module filters out the irrelevant information in the image and extracts the features that are useful for the application, such as object recognition, defect detection, etc.

The FQ-BAT1 machine vision accessory is a versatile and efficient device, which can quickly and accurately detect objects in images. It is suitable for many application scenarios, thanks to its flexibility and functionality. Furthermore, it is lightweight and easy to use, making it an ideal choice for a variety of machine vision tasks.

The specific data is subject to PDF, and the above content is for reference