FH-SC Allicdata Electronics
Allicdata Part #:

FH-SC-ND

Manufacturer Part#:

FH-SC

Price: $ 0.69
Product Category:

Industrial Controls

Manufacturer: Omron Automation and Safety
Short Description: IMAGING CAMERA CHASSIS MOUNT
More Detail: N/A
DataSheet: FH-SC datasheetFH-SC Datasheet/PDF
Quantity: 1000
1 +: $ 0.63000
Stock 1000Can Ship Immediately
$ 0.69
Specifications
Image Type: Color
Weight: 0.231 lb (104.78g)
Operating Temperature: 0°C ~ 40°C
Termination Style: Cable with Connector
Ingress Protection: --
Mounting Type: Chassis Mount
Features: --
Voltage - Supply: --
Sensor Type: CMOS
Series: FH
Scan Rate: --
Light Source: --
Resolution: 640 x 480 (300,000 Pixels)
Installation Distance: Lens Required
Visual Field (Min): Lens Required
Visual Field (Max): Lens Required
Type: Imaging Camera
Part Status: Active
Description

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The field of machine vision has grown significantly over recent years and is now widely used in a variety of industries for the automation of a range of tasks. One such field that is seeing a growing use of machine vision technology is that of Fly Height Sensor (FH-SC) application. The components of such a system consist of a range of sensors and cameras which allow for sensing the position, orientation and movement of objects.

The purpose of FH-SC is to detect the height of objects with regards to their reference points. For example, in the food and beverage industry, machines are designed to control the object’s height precisely and reject those that are too high or too low. The controlling system will automatically adjust the object’s height to a specified value. Similarly, in the automotive industry, FH-SC can be used to detect the position of a headlight in a car and adjust it to specified parameters.

The sensors and cameras used in FH-SC systems are of two main types. The first is a direct image capture technology which uses devices such as optical lenses to take an image of the object to be measured. The image is then processed by software that can estimate the object’s position and its height. The second type is an indirect image capture technology, which uses the distance between an object and a reference point, combined with a range measuring sensor, to determine the object’s height. This indirect image capture technology is often used for outdoor applications.

FH-SC systems utilize a range of different technologies and sensors to achieve their desired results. Commonly used technologies include stereo vision, laser scanning and ultrasonic ranging. Stereo vision enables the detection of objects from two different perspectives providing three-dimensional (3D) information about the object’s position and height. Laser scanning devices, such as laser rangefinders, are used to measure distance. Ultrasonic ranging devices are also used to measure distance and can detect objects even when they are not visible.

The software used to control the sensors and cameras has become increasingly complex over the years. It is designed to detect the objects in the scene and analyze their properties including color, shape, and texture. The processed information is then raised to determine the object’s exact position and height. The software can be configured to recognize specified objects or features in a scene and can be programmed to reduce the false-positive detection rate and minimize the number of false negatives.

The range of different applications for FH-SC systems continues to expand due to increased accuracy and reliability. They can be used in a wide variety of industries including mechanical engineering, automated assembly, robotics, medical equipment, logistics, and industrial automation. The use of FH-SC technology enables increased process safety and efficiency as object properties can be monitored in real-time and objects outside the specified height can be automatically rejected.

In conclusion, the Fly Height Sensor (FH-SC) application field is becoming increasingly popular in a variety of industries due to its flexibility and accuracy. The use of various sensing technologies enables precise monitoring of objects in a scene. Its range of applications continues to expand and its capability is constantly evolving due to advances in software algorithms and camera technology. With the continued development of these technologies, it is likely that FH-SC will continue to play a major role in the future of machine vision.

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

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