  In order to solve the recent defect in garbage classification - including low
level of intelligence, low accuracy and high cost of equipment, this paper
presents a series of methods in identification and judgment in intelligent
garbage classification, including a material identification based on thermal
principle and non-destructive laser irradiation, another material
identification based on optical diffraction and phase analysis, a profile
identification which utilizes a scenery thermal image after PCA and histogram
correction, another profile identification which utilizes computer vision with
innovated data sets and algorithms. Combining AHP and Bayesian formula, the
paper innovates a coupling algorithm which helps to make a comprehensive
judgment of the garbage sort, based on the material and profile identification.
This paper also proposes a method for real-time space measurement of garbage
cans, which based on the characteristics of air as fluid, and analyses the
functions of air cleaning and particle disposing. Instead of the single use of
garbage image recognition, this paper provides a comprehensive method to judge
the garbage sort by material and profile identifications, which greatly
enhancing the accuracy and intelligence in garbage classification.
