With the development of smart city, we expect to provide an automatic detection method of urban garbage to help alleviate urban garbage problems.
Different from pedestrians, vehicles and other objects, garbage have no relatively clear definition. Due to the judgment of garbage always has certain subjectivity, in different situations, it will produce different judgment results. Since the diversity of scenes where garbage appears, accuracy of test results will be affected.
city always need to be clean then smart. To complete this project, you should be in compartale level of deep learning and similarity algorithams. Our implementation of this approach completely afresh with tensor and AI.
Its choice of students, one can visit our centre for the traininig and implementation of the waste object identification. Students from different city can easily engage with us over remote. Project training and installation of related tools will be taken care by our experts over remote system sharing.