Abstract
As the population is increasing rapidly day by day the pollution level is also increasing significantly. Several campaigns like Swachh Bharat Abhiyaan (SBA) are aiming to reduce the pollution level. Our approach is to use computer vision technique to classify the garbage based on its severity. For this we have rated garbage on a scale of 1 to 5 with 5 as cleanest and 1 as the dirtiest. To achieve our aim, we have used Faster-RCNN Inception v2 model, and have procured an accuracy of 89.14% using SVM and 89.68% using CNN in detecting different classes of garbage.
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Bose, C., Pathak, S., Agarwal, R., Tripathi, V., Joshi, K. (2020). A Computer Vision Based Approach for the Analysis of Acuteness of Garbage. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Valentino, G. (eds) Advances in Computing and Data Sciences. ICACDS 2020. Communications in Computer and Information Science, vol 1244. Springer, Singapore. https://doi.org/10.1007/978-981-15-6634-9_1
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DOI: https://doi.org/10.1007/978-981-15-6634-9_1
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