Item detection inside shared car based on Image processing and Infrared
DOI: 10.23977/jemm.2021.060103 | Downloads: 17 | Views: 300
Jiansheng Murong 1, Zhiyuan Niu 1, Shan Jiang 1
1 Jilin University, Changchun 130000, China
Corresponding AuthorJiansheng Murong
By browsing a lot of data in recent years about shared car in China market, we had come to a conclusion that although the pertinent fields of Car Sharing market in China have already made a great process especially compared to its original circumstances, it’s still suffering from tremendous loss due to poor management. In order to make it possible for improving the current situation and reduce the huge amount of loss, we have devised a set of detection equipment which can be used to detect the anomalous items inside the shared car automatically by referring to some existing algorithms of the Image processing and Infrared ray, with which we could cut down the number of necessary cleaning workers needed to check and clean the shared car after being used.
KEYWORDSImage processing, Infrared, Hash, Color histogram similarity, OTSU
CITE THIS PAPER
Jiansheng Murong, Zhiyuan Niu, Shan Jiang, Item detection inside shared car based on Image processing and Infrared. Journal of Engineering Mechanics and Machinery (2021) Vol. 6: 16-22. DOI: http://dx.doi.org/10.23977/jemm.2021.060103
 Huang Jiaheng, Li Xiaowei, Chen Benhui, et al. A comparative study of hash-based image similarity algorithms [J]. Journal of Dali University, 2017, 2(12): 32-37. doi:10.3969/j.issn.2096-2266.2017.12.007.
 Huang ZY, Sun GM, Li F. Traffic sign segmentation based on RGB vision model [J]. Microelectronics and Computers, 2004, 21(10): 147-148,152. doi:10.3969/j.issn.1000-7180.2004.10.040.
 Otsu N. A threshold selection method from gray-level histograms [J]. Automatica, 1975, 11(285-296): 23-27.
 Ma Ronggui, Wu Jiamin, Li Yongshang, Gao Jie, Bian Qing. A lens dust detection device and method [P]. Shaanxi Province: CN108600739B, 2019-12-13.