OD2-N85W20CO Allicdata Electronics
Allicdata Part #:

OD2-N85W20CO-ND

Manufacturer Part#:

OD2-N85W20CO

Price: $ 0.69
Product Category:

Industrial Controls

Manufacturer: SICK, Inc.
Short Description: SEN DISP 85MM +/-20MM NPN
More Detail: N/A
DataSheet: OD2-N85W20CO datasheetOD2-N85W20CO 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

The OD2-N85W20CO is an impressive machine vision camera, boasting an impressive array of features and advantages that make it a must have in any automated production line. This camera has a 1/2.8” Type 1/3.2” CMOS Sensor, with a 1.3 megapixel resolution, a 4:3 aspect ratio, and an F1.6 lens with 10 bit digital output. It offers an excellent image quality, with wide dynamic range, making it ideal for applications such as pattern recognition, object tracking, and color detection.

The OD2-N85W20CO is commonly used in industrial automation and robotics applications, where it is used to help with navigation, obstacle avoidance, and automated material handling. It is also used in medical imaging and imaging quality control, as well as for product identification and authentication. It\'s also used in surveillance and security applications, allowing for monitoring of public areas and identity verification. Its impressive features make it a great choice for applications that require high resolution, high dynamic range, and reliable performance in a wide range of applications.

The OD2-N85W20CO camera uses both the global and local motion analysis techniques to perceive motion accurately and accurately detect objects. The global motion analysis technique works by analyzing the movement of objects in the scene in order to identify them and to identify their speed and direction. On the other hand, local motion analysis is used to identify the motion of individual objects in a specific area, and to estimate the speed and direction of the objects.

The OD2-N85W20CO also features a 2D/3D edge extraction, which allows detection of edges of objects in the scene. This enables the detection of both flat and curved surfaces, as well as edges of objects, making it suitable for many applications such as barcode scanning and package identification.

The OD2-N85W20CO also includes an improved recognition capability, allowing for reliable object identification even under difficult lighting conditions. The recognition feature uses both color and texture filters to accurately detect objects in a scene, making it suitable for applications that require reliable object recognition under challenging lighting conditions.

The OD2-N85W20CO camera is also equipped with a range of image processing features, such as image transformation, LUT (Luminance Uniformity Table), multi-folding, interpolation, and filtering. These features enable processing of multiple images to enhance the image quality, and are particularly useful for high-speed image processing applications. The range of image processing capabilities provided by the OD2-N85W20CO makes it a great choice for high-speed machine vision applications.

Overall, the OD2-N85W20CO is an impressive machine vision camera that is suitable for a wide range of applications, from industrial automation to medical imaging, product identification to security and surveillance. With its impressive features and capabilities, the camera is sure to meet the needs of any automation or machine vision application.

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

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