Air pollution kills 7 million people annually. The brick manufacturing
industry accounts for 8%-14% of air pollution in the densely populated
Indo-Gangetic plain. Due to the unorganized nature of brick kilns, policy
violation detection, such as proximity to human habitats, remains challenging.
While previous studies have utilized computer vision-based machine learning
methods for brick kiln detection from satellite imagery, they utilize
proprietary satellite data and rarely focus on compliance with government
policies. In this research, we introduce a scalable framework for brick kiln
detection and automatic compliance monitoring. We use Google Maps Static API to
download the satellite imagery followed by the YOLOv8x model for detection. We
identified and hand-verified 19579 new brick kilns across 9 states within the
Indo-Gangetic plain. Furthermore, we automate and test the compliance to the
policies affecting human habitats, rivers and hospitals. Our results show that
a substantial number of brick kilns do not meet the compliance requirements.
Our framework offers a valuable tool for governments worldwide to automate and
enforce policy regulations for brick kilns, addressing critical environmental
and public health concerns.

空气污染每年导致 700 万人死亡，砖厂制造业在人口密集的印度恒河平原中占据 8% 至 14% 的空气污染。本研究介绍了一种可扩展的砖窑检测和自动合规监测框架，应用谷歌地图静态 API 下载卫星图像和 YOLOv8x 模型进行检测。我们发现和手动验证了印度恒河平原内 9 个邦的 19579 座新砖窑，并自动化测试了与人类栖息地、河流和医院相关的合规性政策。我们的结果显示，相当数量的砖窑未能满足合规要求。我们的框架为全球政府提供了一个有价值的工具，用于自动化执行砖窑政策法规，解决环境和公共卫生方面的关键问题。