FQ-MS125-M Allicdata Electronics
Allicdata Part #:

FQ-MS125-M-ND

Manufacturer Part#:

FQ-MS125-M

Price: $ 1.39
Product Category:

Industrial Controls

Manufacturer: Omron Automation and Safety
Short Description: IMAGING CAMERA CHASSIS MOUNT
More Detail: N/A
DataSheet: FQ-MS125-M datasheetFQ-MS125-M Datasheet/PDF
Quantity: 1000
1 +: $ 1.26000
Stock 1000Can Ship Immediately
$ 1.39
Specifications
Image Type: Monochrome
Weight: 0.86 lb (390.09g)
Operating Temperature: 0°C ~ 50°C
Termination Style: Circular
Ingress Protection: --
Mounting Type: Chassis Mount
Features: --
Voltage - Supply: 24VDC
Sensor Type: CMOS
Series: FQ-M
Scan Rate: 60 scans/s
Light Source: External
Resolution: 752 x 480 (350,000 Pixels)
Installation Distance: Lens Required
Visual Field (Min): Lens Required
Visual Field (Max): Lens Required
Type: Imaging Camera
Part Status: Active
Description

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

Introduction

FQ-MS125-M is a machine vision camera, or known as a digital sight camera, that is used to enable applications, such as material inspection, object tracking, machine vision, etc. The camera used a CMOS sensor with a viewing field of 125 mm and provides a high resolution picture of up to 5 megapixels.

Working Principle

The working principle of the FQ-MS125-M machine vision camera is based on the principle of digital imaging. The camera is equipped with a CMOS image sensor that captures and processes the light that it receives and converts it into pixel values, or digital image data. This image data is then processed by the camera’s processor and passed along to the application end, providing the user with an output of features in the form of images.The CMOS sensor is sensitive to light, such as sunlight, fluorescent, and incandescent. As the light passes through the camera lens, it is blocked by an on-board filter. This filter allows only specific types of light to pass through while rejecting other types, creating a sharp image. The filter also allows the range of light that the camera can capture to be adjusted so that the camera can “see” a range of environmental conditions.

Application Field

The FQ-MS125-M Machine Vision Camera has a variety of applications, including material inspection, object tracking, and machine vision. The camera is ideal for applications that require macro- and micro-viewing. In these types of applications, the camera excels at providing detailed information on surface patterns and dimensional measurements.Material inspection applications typically use the camera to scan objects in order to detect and correct defects. These defects can include subtle surface variations which cannot be seen by the human eye, allowing the camera to detect and measure small surface features as small as one-thousandth of an inch.Object tracking applications are used to monitor the movement of objects by providing an image of the object the camera is observing. Objects can be detected by the camera in complete darkness and in environments such as high buildings, outdoor areas, or even underwater. This feature allows users to track an object or person within a large area, as well as detect objects approaching or leaving the area.In machine vision applications, the FQ-MS125-M usually works alongside other sensors to perform complex tasks. It can capture images and discern patterns in those images. By joining forces with other sensors, the camera is able to detect, recognize, and analyze objects, allowing for efficient and accurate sorting of objects.

Conclusion

The FQ-MS125-M machine vision camera is a powerful tool that works on the principle of digital imaging. It is a high-resolution and versatile camera ideal for a variety of machine vision tasks including material inspection, object tracking, and machine vision. Its high resolution and flexibility make it a reliable and accurate tool in the field of image gathering and processing.

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

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