Color Recognition Sensors | Color Sensors | Detailed Principles and Applications

With continuous technological progress, color recognition sensors are becoming increasingly common. A color recognition sensor perceives surface color and can be applied to automated production lines, logistics sorting, robotics, and more. This article details the principles and applications of color recognition sensors.

1. Principle of color recognition sensors

Color recognition sensors identify object color by sensing reflected, absorbed, and transmitted light. Different colored objects reflect, absorb, and transmit light differently. The sensor emits light to the object surface; the reflected light is received by photosensitive elements and converted into electrical signals that are processed to determine the object color.

2. Applications

Color recognition sensors are used across many fields. Key applications include:

• Automated production lines: used to identify and sort products by color for packaging and classification, improving efficiency and accuracy.

• Logistics sorting: in sorting centers, sensors quickly and accurately sort packages by color, labels, or tags.

• Robotic sorting: integrated with robot motion control to enable automated picking and placement.

• Automotive manufacturing: detect body color consistency during production to ensure quality.

• Liquid color detection: in food and beverage industries, sensors monitor juice, beverage, dairy, syrup, and other liquid colors in real time to ensure compliance with standards.

3. Summary

Color recognition sensors are valuable devices applicable in automation, logistics, robotics, automotive, and liquid inspection. They work by sensing light color, converting it into signals, and determining object color through signal processing. As technology advances, these sensors will play a greater role in improving production efficiency and enabling smarter operations.