OD2-N85W20IO Allicdata Electronics
Allicdata Part #:

OD2-N85W20IO-ND

Manufacturer Part#:

OD2-N85W20IO

Price: $ 0.69
Product Category:

Industrial Controls

Manufacturer: SICK, Inc.
Short Description: SEN DISP 85MM +/-20MM NPN
More Detail: N/A
DataSheet: OD2-N85W20IO datasheetOD2-N85W20IO Datasheet/PDF
Quantity: 1000
1 +: $ 0.63000
Stock 1000Can Ship Immediately
$ 0.69
Specifications
Scan Rate: --
Operating Temperature: -10°C ~ 40°C
Termination Style: Connector
Ingress Protection: IP67 - Dust Tight, Waterproof
Mounting Type: Chassis Mount
Features: --
Voltage - Supply: 12 ~ 24VDC
Sensor Type: --
Image Type: --
Series: OD Value
Light Source: --
Resolution: --
Installation Distance: 65.0mm ~ 105.0mm
Visual Field (Min): --
Visual Field (Max): --
Type: 2D Laser Displacement Sensor
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

OD2-N85W20IO, which stands for Optical Detection 2N85W20IO, is currently one of the most popular cameras and sensors used in the Machine Vision field.This article will discuss the application field and working principle of this technology.

Application Field

The application field of this camera and sensor technology is quite broad and diverse. In the areas of industrial automation, robotic vision, navigation and mapping, and machine vision, OD2-N85W20IO technology is very important as it provides important data for these sophisticated systems. This high-tech sensors and cameras can detect and identify objects and provide the necessary information for these different systems and machines.

In industrial automation, this technology is used to detect and track objects, identify hazardous conditions, improve safety, and ensure that the entire manufacturing process is optimized. This technology has revolutionized industrial automation by enabling machines to sense and process data much more efficiently than ever before.

In robotic vision, these sensors and cameras are used to help robots navigate their environment, identify objects, and avoid obstacles. By combining the data from OD2-N85W20IO cameras and sensors with artificial intelligence, robots can have a higher level of autonomy and even complete complex tasks.

In navigation and mapping, this technology can be used to accurately track the movement of a vehicle or object and map its environment. This technology has been especially beneficial for mapping autonomous vehicles, as it can help them to navigate more accurately and efficiently.

Finally, in machine vision, this technology can be used to detect and recognize objects and identify patterns. By using the data from these sensors and cameras, machines can be designed to better identify and interpret objects in their environment.

Working Principle

The working principle of OD2-N85W20IO is quite complex, but can essentially be broken down into three main components. The first component is the camera, which is used to capture images and data. This camera contains a complex set of lenses and sensors that enable it to take high-resolution pictures.

The second component is the sensor, which is used to detect the environment around the camera. This sensor contains a variety of detectors and sensors that can detect anything from light to temperature.

The third component is the software. This software is used to process the data from the camera and the sensor. By combining the data from the camera and the sensor, the software can provide detailed and accurate data about the environment it is in.

By combining these three components, OD2-N85W20IO technology can provide a highly detailed and accurate view of the environment. This technology has revolutionized the Machine Vision field and has enabled machines to sense and process data much more efficiently than ever before.

Conclusion

In conclusion, OD2-N85W20IO technology is a powerful tool that has revolutionized the Machine Vision field. It provides detailed and accurate data about the environment around the camera, enabling it to detect and identify objects and navigate its environment more efficiently. The working principle of this technology is quite complex, but essentially involves three main components. By combining these three components, this technology can provide a highly detailed and accurate view of the environment.

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

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