The research is expected to make significant contributions to both academic and industry domains. In academia, it will show the potential of Computer Vision in the construction field by showcasing the practical application of object detection for real-time waste monitoring. The research outcomes will serve as a valuable case study for future studies in object detection and automated surveillance systems. In the industry, the research offers practical solutions to a long-standing problem in construction and demolition waste management. It introduces a cost-effective and efficient approach that construction companies, waste management firms, and regulatory bodies can adopt. Automating waste monitoring and creating a database of waste dumping events will lead to tangible benefits such as reduced operational costs, streamlined waste management, and improved sustainability practices, thereby contributing to a more environmentally responsible construction industry.