UV technology complements VIS technology by operating in the ultraviolet range. This allows the identification of contaminants that cannot be detected in the visible range. The test examines how different materials react to UV light in order to distinguish hollow glass or flat glass from other types of glass. For example, lead glass and glass ceramics can be identified in this way.

NIR (near-infrared) technology detects differences in materials in a wavelength range that is invisible to the human eye. These sensors identify reflection patterns that are characteristic of the respective materials. This allows plastics and other materials to be distinguished from waste glass and removed.

Inductive sensors detect metallic parts in the waste glass stream by means of electromagnetic field changes. When metals approach, the disturbance of the magnetic field is registered and, at the same time, the exact position and location of the metal parts is identified. CLARITY glass sorting machines use this technology to efficiently sort out all kinds of metallic materials from the glass stream.

AI sensors recognize complex classification patterns and material-specific signatures. Artificial intelligence can evaluate a wide range of parameters such as shape, surface properties, or structure and sort out relevant impurities. AI sensors are used in cullet sorting, for example, when dark cullets or cullets with labels need to be identified as such.