ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774


CITY CLEANLINESS DETECTION USING GEO-TAGGED STREET IMAGES

Abstract

Abstract:- Advancement in mobile, cloud technologies and IoT has made the world even smaller and connected like never before. It has become a challenge and an opportunity for cities to leverage these growing technologies to solve real city administration problems. Cities are in the transformation state to become state of the art smart-city using these technologies. This paper is about the automation of street cleanliness assessment in near real- time. It answers the question of how can we assess the status of streets more efficiently and effectively. In order to address the problem, this paper proposes a multiple-level assessment service system on how the cleanliness status of streets is collected using mobile stations, connected via city network, analysed in the cloud and presented to city administrators online or on mobile. The real applications show the usability and feasibility of our system. This also gives opportunities to city residents to participate and contribute towards making the city a better place.
Keywords- Smart City, Street Cleaning, Litter Detection, Machine Learning, Cloud Computing, Dashboards.

Full Text PDF

IMPORTANT DATES 

Submit paper at ijasret@gmail.com

Paper Submission Open For April  20212
UGC indexed in (Old UGC) 2017
Last date for paper submission 30th April, 2022
Deadline Submit Paper any time
Publication of Paper Within 01-02 Days after completing all the formalities
Paper Submission Open For Publication /online Conference 
Publication Fees  
Free for PR Students