{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T01:18:47Z","timestamp":1764897527179,"version":"3.46.0"},"reference-count":0,"publisher":"Canadian Center of Science and Education","issue":"3","license":[{"start":{"date-parts":[[2018,6,2]],"date-time":"2018-06-02T00:00:00Z","timestamp":1527897600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CIS"],"abstract":"<jats:p>Aiming at solving the waste sorting problems of smart environmental sanitation, this paper proposes a novel smart waste sorting system, which consists of two sub-systems including a hardware system and a software system. The hardware system is of a trash bin framework based on the core module Raspberry Pi and the software one is of an image classification algorithm platform based on SURF-BoW algorithm and multi-class SVM classifier. In our experiment, the images produced during training and testing are both obtained from webcam in our system and extra processing with affine transformation and noise-adding operation. The experimental results show that among the five categories of waste, the battery waste performs best with 100% classification accuracy. Besides, the average classification accuracy is up to 83.38%. Therefore, our system has reliable practicability and robustness, which is expected to be applied to deal with the waste sorting problems in our daily life.<\/jats:p>","DOI":"10.5539\/cis.v11n3p35","type":"journal-article","created":{"date-parts":[[2018,6,2]],"date-time":"2018-06-02T06:56:30Z","timestamp":1527922590000},"page":"35","source":"Crossref","is-referenced-by-count":8,"title":["Novel Smart Waste Sorting System based on Image Processing Algorithms: SURF-BoW and Multi-class SVM"],"prefix":"10.5539","volume":"11","author":[{"given":"Yijian","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"King-Chi","family":"Fung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenqian","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongfei","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ting","family":"Qu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cong","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"3486","published-online":{"date-parts":[[2018,6,2]]},"container-title":["Computer and Information Science"],"original-title":[],"link":[{"URL":"http:\/\/www.ccsenet.org\/journal\/index.php\/cis\/article\/download\/75749\/41885","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.ccsenet.org\/journal\/index.php\/CIS\/article\/download\/75749\/41885","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T01:13:35Z","timestamp":1764897215000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.ccsenet.org\/journal\/index.php\/cis\/article\/view\/75749"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,2]]},"references-count":0,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2018,5,20]]}},"URL":"https:\/\/doi.org\/10.5539\/cis.v11n3p35","relation":{},"ISSN":["1913-8997","1913-8989"],"issn-type":[{"type":"electronic","value":"1913-8997"},{"type":"print","value":"1913-8989"}],"subject":[],"published":{"date-parts":[[2018,6,2]]}}}