Swimming Pool Detection

Swimming pools are a significant property characteristic that can impact the value of a property, its tax assessment, urban planning, and local tax revenues. Therefore, keeping an up-to-date database of residential and commercial properties is critical for tax assessors and government entities. At the same time, conducting traditional property surveys and inspections is costly and inefficient, and cannot be performed frequently due to the vast area required to examine. Thus, there is a possibility that new and not yet registered swimming pools will be absent from property assessment databases.

The proposed deep learning model will detect pools on high-resolution satellite images in order to provide an effective tool for the identification of pool locations. With the help of aerial and satellite imagery analysis using computer vision technology based on artificial intelligence, it will be possible to reduce dependence on surveying while maintaining the integrity of property data.

For property tax assessment, automated swimming pool detection can provide additional information to local governments regarding those properties with swimming pools that are not listed in assessment databases.

It also offers useful applications outside the realm of government assessment. Pool repair and installation companies can apply the detected pool location in understanding local markets, finding potential customers, and creating marketing campaigns aimed at specific geographical locations. Rather than depending solely on demographic information, firms can employ geospatial intelligence and make an informed decision regarding which areas have a high density of pools.

Automation of pool location detection would be helpful for public bodies as well. Public health departments, mosquito control projects, and environmental agencies could make use of the detected pool locations in order to conduct fieldwork, carry out inspections, detect potential breeding grounds for mosquitoes, and find mitigation techniques.

In general, by using such technologies as deep learning, computer vision, and geospatial analysis based on satellite imagery, this solution would offer a powerful tool for automated pool detection. The application of this model will be useful for property assessment, business intelligence, public health surveillance, municipal planning, and other tasks that require up-to-date and accurate information regarding pool locations.