OD1-B035C15I25 Allicdata Electronics
Allicdata Part #:

1882-1738-ND

Manufacturer Part#:

OD1-B035C15I25

Price: $ 0.69
Product Category:

Industrial Controls

Manufacturer: SICK, Inc.
Short Description: SEN DISP AL 4-20MA 1Q 5P M12 CBL
More Detail: N/A
DataSheet: OD1-B035C15I25 datasheetOD1-B035C15I25 Datasheet/PDF
Quantity: 1000
1 +: $ 0.63000
5 +: $ 0.63000
Stock 1000Can Ship Immediately
$ 0.69
Specifications
Series: OD Mini
Part Status: Active
Type: 2D Laser Displacement Sensor
Visual Field (Max): --
Visual Field (Min): --
Installation Distance: 20.0mm ~ 50.0mm
Resolution: --
Light Source: --
Scan Rate: --
Image Type: --
Sensor Type: --
Voltage - Supply: 12 ~ 24VDC
Features: --
Mounting Type: Chassis Mount
Ingress Protection: IP67 - Dust Tight, Waterproof
Termination Style: Cable with Connector
Operating Temperature: -10°C ~ 40°C
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

Given the current state of technology, machine vision cameras and sensors provide devices with the capability to detect objects, features, and characters in an image frame. Over the years, these devices have been improving in terms of resolution and operational accuracy. When it comes to sensors, the OD1-B035C15I25 is one of the most advanced infrared vision sensors out there. This particular device has seen immense success in its application field and is increasing in popularity due to its superior working principles and capabilities.

Applications of OD1-B035C15I25

The OD1-B035C15I25 is primarily designed for robotic navigation and 2D/3D mapping. This infrared vision sensor is loaded with a number of features and options which can be programmed and used to carry out robotic vision tasks. The device is also equipped with night vision capabilities, enabling it to function in low-light settings as well. The OD1-B035C15I25 is capable of performing image processing tasks, which can be used to identify objects, features, and characters in an image frame. Furthermore, this infrared vision sensor is also equipped with motion detection capabilities, which can be used to track objects.

In the automotive industry, the OD1-B035C15I25 has potential to be used in autonomous cars and other robotic vehicle designs. The device’s motion tracking feature can be used to detect obstacles and detect any changes in the environment quickly and accurately. This level of accuracy and lightning-quick detection can ensure a safe journey for all passengers.

Moreover, the OD1-B035C15I25 is perfect for drones as well. It can be used to detect objects while airborne and can enable drones to provide accurate and targeted delivery of goods, thus reducing the risk of delivery failure.

The Working Principle of OD1-B035C15I25

The OD1-B035C15I25 operates on the principle of infrared detection using a combination of white light and infrared light sources. These light sources are measured by the device’s built-in Photon-counting Detector which ensures a vivid and accurate image of the environment. This combination also enables the device to detect any objects in both bright and dark environments accurately.

The second part of the device’s operating principle is the dual-channel image processing algorithm. This algorithm enables the OD1-B035C15I25 to identify objects in the image frame accurately. The algorithm uses advanced techniques such as edge detection, pattern recognition, and feature extraction, among others. Additionally, the device’s motion tracking capabilities are enabled by the use of these algorithms, ensuring a smooth and successful tracking performance.

Conclusion

The OD1-B035C15I25 is one of the most advanced infrared vision sensors in its class. Its applications vary from autonomous vehicles to drones, and its working principle proves to be highly accurate and efficient. With the growing demand for advanced sensors and machine vision cameras, the OD1-B035C15I25 is sure to become an integral part of robotic navigation and 2D/3D mapping.

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

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