Understand the principles before choosing equipment. Ten lessons cover how X-rays are produced, how to read images, radiation safety, metal detection, trace detection, 3D-CT and AI screening. Check your understanding with 5 questions at the end.
Inside an X-Ray Baggage Scanner is an X-ray tube that produces X-rays. Electrons emitted from a filament are accelerated by a high voltage into a metal target, and as the electrons stop abruptly, X-rays are emitted.
As X-rays pass through an object, part of them is absorbed and they weaken (attenuation). Detectors measure the intensity of the remaining X-rays, and those differences become the light and dark areas of the image.
Even for the same object, the ratio of high- and low-energy X-rays absorbed differs by material. Measuring this ratio with a two-layer detector lets the system estimate the material type and display it in color.
Organic/inorganic stripping, black-and-white, high penetration, inversion and brightness adjustment let screeners review the same image in different ways. Below are conceptual examples showing how each function changes the image.
Catalog specification tables are read with these numbers. Even for equipment with the same name, these numbers determine actual screening quality and safety.
Example values: based on MSCAN-6040D specifications · KTL test results
X-Ray Baggage Scanners are designed to use X-rays only inside the equipment. Knowing the three basic principles of radiation protection and the equipment’s shielding structure makes safety standards easier to understand.
Walk-through and Hand-held Metal Detectors create a magnetic field with coils. When metal passes through, an induced current in the metal changes the field, and the detector senses this change and sounds an alarm.
A sample wiped from a bag or hands with sampling paper is heated and ionized, then the time it takes ions to reach the detector in an electric field is measured. Because ion size and shape differ by substance, arrival times differ (IMS).
In CT, the X-ray generator and detectors rotate around an object to capture transmission images from many angles, and cross-sections and 3D images are reconstructed by computation. The biggest difference from 2D is that overlapping items can be viewed separately.
The amount of usable information differs greatly depending on whether AI reads screen-captured images or the raw data produced by the detector.