Abstract: An automated method for detecting glass-ceramic materials in cullet, includes detecting the glass-ceramic material in cullet, during which fragments thought to be glass-ceramic material are identified in the cullet, obtaining a digital image resulting from the detecting of the glass-ceramic material, the image including at least one group of pixels corresponding to a fragment thought to be glass-ceramic material, colorimetrically processing the image, during which at least the group of pixels of the image corresponding to fragments thought to be glass-ceramic material is processed by a colorimetric image processing module according to an RGB model.

Abstract: An automated system for detecting glass-ceramic materials among a cullet, includes at least one white light source and at least one monochromatic ultraviolet light source, each being oriented to emit in the same emission region. The system includes an image acquisition device configured to acquire an image of the emission region and an image processing device configured to process each of the images acquired by the image acquisition device, the image processing device including a colorimetric image processing module configured to ensure the detection of the glass-ceramic material among othertypes of glass.

Abstract: An electrically-controlled liquid crystal glazing unit can include a substrate carrying a liquid crystal element disposed between a first electrode and a second electrode connected to an electrical power supply. The liquid crystal element can transform from a diffusing state at zero voltage to a transparent and/or colored state at a sinusoidal AC voltage having an operating amplitude (V0). In some examples, the electrical power supply is configured to apply a start-up voltage whose amplitude progressively increases from zero up to the operating amplitude (V0) and/or a shut-down voltage (Vs(t)) whose amplitude decreases progressively from the operating amplitude (V0) down to zero.