CCS-LDL-TP-83X75 Allicdata Electronics
Allicdata Part #:

CCS-LDL-TP-83X75-ND

Manufacturer Part#:

CCS-LDL-TP-83X75

Price: $ 0.69
Product Category:

Industrial Controls

Manufacturer: Omron Automation and Safety
Short Description: SURFACE MOUNT BACKLIGHT
More Detail: N/A
DataSheet: CCS-LDL-TP-83X75 datasheetCCS-LDL-TP-83X75 Datasheet/PDF
Quantity: 1000
1 +: $ 0.63000
Stock 1000Can Ship Immediately
$ 0.69
Specifications
Series: LDL
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 integration of machine vision and lighting represents a major advance in the field of industrial automation. With the combination of automation and machine vision, industrial processes can be optimized and problems can be quickly detected. The CCS-LDL-TP-83X75 lighting system is a powerful machine vision tool that has numerous application fields. In addition to its core application fields, it also has several auxiliary systems that can be used in conjunction with the core systems in order to achieve a comprehensive automation solution. In this article, we will discuss the application fields and working principle of the CCS-LDL-TP-83X75 lighting system.

The CCS-LDL-TP-83X75 lighting system can be used in a wide range of industries, including manufacturing, transportation, medical, and retail. In the manufacturing industry, the system is used to identify defects and identify the causes of quality problems. It is also used to monitor process, ensure that quality standards are met, and detect and eliminate manufacturing disturbances. In the transportation industry, the system is used to ensure safe navigation, detect obstacles in the path of an automated vehicle, and monitor vehicle performance. In the medical field, the system is used to monitor vital signs, detect anomalies in patient data, and analyze medical laboratory data. In the retail industry, the system is used to quickly identify customers, detect fraudulent transactions, and track shipments.

The core application fields for the CCS-LDL-TP-83X75 lighting system are the identification and detection of objects, the monitoring of processes, and the cancellation of non-related objects. The system is equipped with two powerful infrared cameras, two lighting heads, two microphones, and an advanced AI algorithm to identify and detect objects. The cameras are sensitive to infrared radiation, enabling the system to detect objects of various sizes and shapes. The lighting heads provide the appropriate illumination for the cameras to identify the objects. The microphones pick up the sound generated by the objects, which helps in the identification process. The AI algorithm uses these inputs to classify the objects and detect anomalies.

The working principle of the CCS-LDL-TP-83X75 lighting system is that it sends out a beam of visible light when the infrared cameras detect an object. This beam is detected by the sensors in the lighting heads and triggers an LED light to illuminate the object. The IR cameras then pick up the contrast between the illuminated object and the background image and send this information to the AI algorithm. The AI algorithm then classifies the object and determines if it is an object of interest. If the object is deemed to be of interest, then it is counted as detected. The AI algorithm can also filter out non-relevant objects, thus eliminating false positives.

In conclusion, the CCS-LDL-TP-83X75 lighting system is a powerful machine vision tool that is used in a wide range of industries. It can identify and detect objects, monitor processes, and cancel non-relevant objects. The system works by sending out a beam of visible light when the infrared cameras detect an object. This beam is detected by the sensors in the lighting heads, which then triggers an LED light to illuminate the object. The AI algorithm then processes the information from the IR cameras and classifies the object. This technology provides a comprehensive automation solution that can be used to optimize industrial processes and quickly detect potential problems.

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