FQ-MS120-M Allicdata Electronics
Allicdata Part #:

FQ-MS120-M-ND

Manufacturer Part#:

FQ-MS120-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-MS120-M datasheetFQ-MS120-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

Machine vision technology almost always involves the use of cameras and sensors to acquire images that are then processed for further action. Among the most popular types of machine vision components are the FQ-MS120-M cameras and sensors. These devices are used in many industries for quality assurance, automated inspection, and precision robotics.

The FQ-MS120-M cameras and sensors are high-performance digital image sensors with a resolution of 1.2 megapixels and a frame rate of up to 60 frames per second. The devices come in a range of form-factors and built-in features, including color processing, image stabilization, Flash LED Illumination, an adjustable lens mount, and a robust interface. The cameras and sensors are designed for industrial applications that require high accuracy and reliable operation.

The main advantage of the FQ-MS120-M cameras and sensors is their ability to achieve high accuracy and reliability in terms of capturing images and processing those images. The devices use advanced image processing algorithms that allow developers to create powerful custom machine vision applications that are tailored to their specific needs. The cameras and sensors are especially suited for inspection and quality assurance applications, where an accurate and reliable image is of paramount importance.

The FQ-MS120-M cameras and sensors are equipped with an adjustable lens mount that allows users to easily adjust the focus and zoom levels. This feature is particularly beneficial for inspections that require the camera or sensor to move continuously or quickly. The lens mount also allows users to use a variety of lenses, including wide-angle, macro, and telephoto, depending on their needs.

In addition, the sensors and cameras are designed for remote operation. They can be connected to other components wirelessly, such as computers, video devices, and industrial equipment. This allows users to remotely monitor and capture images quickly and accurately, whether from the factory floor or from a remote location.

Finally, the FQ-MS120-M cameras and sensors can also be used in precision robotics. The devices are equipped with a robust interface that allows them to capture and process images in real-time. This allows developers to create and deploy automated robotic systems that are capable of extremely precise movements and accurate operations. In addition, the cameras and sensors can be programmed to respond to motion or environmental changes, allowing them to detect even subtle shifts or changes in their environment.

Overall, the FQ-MS120-M cameras and sensors are an excellent choice for industrial image acquisition and processing. Their high performance, robust interface, and adjustable lens mount make them particularly well-suited for automated inspection and precision robotics applications. The devices also offer great flexibility and convenience for distant operation, making them an ideal choice for a wide range of applications in the machine vision field.

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

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