The invention relates to a system and a method for object recognition via a computer vision application, the system comprising at least the following components:-at least one object to be recognized, the object having an object-specific reflection and luminescence spectral pattern,-a light source configured to illuminate a scene comprising the at least one object, the light source is designed to omit at least one spectral band of a spectral range of the light when the scene is illuminated, the at least one omitted spectral band being in an emission spectral pattern of the at least one object,-at least one sensor configured to detect an emission spectrum of the at least one object when the scene is illuminated by the light source, radiation data of the scene is measured exclusively in at least one of the at least one omitted spectral band,-a data storage unit comprising an emission spectral pattern and appropriately assigned corresponding objects,-a data processing unit comprising a data processing unit, and a processor configured to: extract an object-specific luminescence spectrum pattern of at least one object to be identified from among the measured scene radiation data, and match the extracted object-specific luminescence spectrum pattern with the luminescence spectrum pattern stored in the data storage unit, and identify the best matched luminescence spectrum pattern, and thus, identify the object-specific luminescence spectrum pattern of the at least one object to be identified. And the distributed objects.
SYSTEM AND METHOD FOR OBJECT RECOGNITION IN NATURAL AND/OR ARTIFICIAL LIGHT