Abstract: The present invention discloses a material detector (100) used to identify a waste material irrespective of a state/condition of the waste material. The material detector (100) includes one or more sensors (110), a detection unit (120) and a comparison unit (130). The sensors (110) capture data of an outermost layer of at least one waste material. The detection unit (120) is configured to determine one or more identity parameters of the waste material by analyzing the data. A relationship table (10) of the comparison unit (130) includes a predefined relation between at least two columns of the relationship table (10). The comparison unit (130) determines a classifier of the waste material from the relationship table (10) using the predefined relation that maps the one or more identity parameters of the waste material with other features of the waste material, thereby accurately identifying the waste material.

Abstract: The present invention discloses an automated waste sorter (100) for sorting/segregating one or more categories of materials from a mixed waste stream. The automated waste sorter (100) includes a primary conveyor belt (110), an encoder (170), one or more sensors (131), a vision system (130) and an ejection means (150). The primary conveyor belt (110) moves the mixed waste stream at a predefined speed. The vision system (130) is trained to analyze the frame to identify, classify and locate one or more classified waste material using at least one of a plurality of identity parameters and/or a plurality of other parameters. The ejection means (150) includes one or more manifolds to eject the one or more classified waste material based on the one or more coordinates communicated by the vision system (130). A method to operate the automated waste sorter (100) is also disclosed.