Tell us how infrared detectors work

For products that are heat sealed or electromagnetically sealed by aluminum foil, due to the limitations of the human eye and ordinary cameras, the human eye and ordinary cameras cannot see through the bottle cap or aluminum foil to intuitively see the sealing status of aluminum foil, so it is impossible to use traditional detection methods to achieve the purpose
of quality control.

With the development of infrared thermal imaging technology, the use of thermal imaging technology combined with digital image processing technology applied to the automation industry, through the infrared thermal image of the product temperature distribution analysis, to ensure that the quality of aluminum foil sealing is intact is the mainstream trend
in today's world.

The following is a brief introduction to the working principle of the infrared detector: All objects above zero degrees (-273 ° C) will emit infrared radiation
.

The use of a special electronic device to convert the temperature distribution of the surface of the object into an image visible to the human eye, and the technique of displaying the temperature distribution of the surface of the object in different colors is called infrared thermal imaging technology, and this electronic device is also called an infrared thermal imager
.

The thermal image of the same target and the visible light image are different, it is not the visible light image that the human eye can see, but the target surface temperature distribution image, or the infrared thermal image is that the human eye can not directly see the surface temperature distribution of the target, and becomes a thermal image
that the human eye can see to represent the surface temperature distribution of the target.

In the automated production line, the workpiece sealed by heat sealing or electromagnetic induction is transported to the infrared thermal image detection station, and the infrared thermal imaging camera takes a thermal image of the bottle cap after heat sealing, and the thermal image is transferred to the image high-speed processing system for calculation and recognition
.

Through the statistical analysis of the temperature distribution model of the heat image after the sealing of the aluminum foil, the sealing quality is judged to be qualified or unqualified, the unqualified product is excluded to the unqualified product area, and the qualified product will be transported to the next process
.