The AI visual pollution detection tool developed by the Saudi Data and AI Authority aims to address the problem of visual pollution as part of the Smart City strategy carried out by the Saudi government. The tool leverages AI techniques to identify and categorize instances of visual pollution in images or videos. In this context visual pollution refers to the presence of unsightly or disruptive elements, such as construction left-over, graffiti, and waste which can negatively impact aesthetics, livability, and overall well-being.

The tool operates in twofold: first, to automatically detect and recognize visual pollution in visual content, and second, to classify the detected instances into specific categories. By automating the detection process, the tool offers a scalable and efficient solution for monitoring and managing visual pollution.

The approach involves training a deep learning model using a large dataset of labeled images or videos. The images are collected by street view cars that roam the city of Riyadh and parts of Jeddah collecting images and video streams regularly. The model learns to identify visual pollution by extracting relevant features and patterns from the input data.

The impact of the tool has been growing to be more significant. By providing automated and accurate detection of visual pollution, it enables urban planners, environmental agencies, and city authorities to assess the extent and severity of the problem. This information has facilitated targeted interventions and policies to mitigate visual pollution through the Ministry of Municipal and Rural Affairs and Housing. The tool significantly enhanced operational efficiency with a lower cost model for the associated human-operations of the detection and mitigation.

Additionally, the tool can support research and analysis by providing valuable data. This information can aid in identifying hotspots, evaluating the effectiveness of remediation efforts, and developing strategies for sustainable urban planning.

https://www.momrah.gov.sa/ar/ncvp

• Saudi Arabia

The AI visual pollution detection tool promotes WSIS goals by: Leveraging AI and digital technologies to address environmental challenges and enhance the quality of life in urban areas, aligning with the WSIS vision of harnessing ICTs for sustainable development. Empowering urban planners, environmental agencies, and city authorities with data-driven insights and tools for effective decision-making and policy formulation, promoting good governance and transparency in environmental management. Facilitating knowledge sharing and collaboration among stakeholders, including government agencies, researchers, and community organizations, to collectively address visual pollution and promote sustainable urban development.