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Nov 30, 2023

Smart Assessment of Urban Old Residential Areas Based on Object Detection

ABSTRACT

In the stage of rapid urban renewal, the renovation of old residential areas is moving along very slowly. Traditional methods of old residential areas assessment have the pain points of low efficiency and high consumption of manpower and material resources, while the application of object detection technology in the field of intelligent assessment is more and more extensive, and satisfactory results have been achieved. This paper attempts to explore how to use object detection technology to automatically identify and locate key objects in old communities, such as buildings, parking spaces, and trash bins, so as to realize smart assessment and management of the environment in old residential areas. Through the analysis of experimental results, the effectiveness and practicality of the proposed method are verified.

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Go to ICCREM 2023
ICCREM 2023
Pages: 801 - 810

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Published online: Nov 30, 2023

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Shijia Wang [email protected]
School of Management Science and Engineering, Central Univ. of Finance and Economics, Beijing, China. Email: [email protected]
Associate Professor, School of Management Science and Engineering, Key Laboratory of Big Data Management Optimization and Decision of Liaoning Province, Dongbei Univ. of Finance and Economics, Dalian, China. Email: [email protected]
Professor, School of Management Science and Engineering, Central Univ. of Finance and Economics, Beijing, China (corresponding author). Email: [email protected]
Associate Professor, School of Management Science and Engineering, Central Univ. of Finance and Economics, Beijing, China. Email: [email protected]

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