Core Viewpoint - Chinese scientists have developed a new technology for urban carbon emission monitoring based on "Panoramic Artificial Intelligence (Panoramic AI)", which provides high-precision real-time tracking of carbon dioxide emissions from road traffic, supporting low-carbon management in cities [1][2]. Group 1: Technology Development - The new technology addresses the limitations of traditional carbon emission inventories, which have low spatial resolution and cannot accurately trace emission sources or analyze their causes [1]. - The research team collaborated with the Shenzhen Ecological Environment Monitoring Center to create a Panoramic AI carbon emission observation platform that integrates AI technology with panoramic cameras, high-precision greenhouse gas analyzers, and meteorological sensors [1]. Group 2: Performance and Application - The Panoramic AI carbon emission observation platform achieves high-precision identification of emission sources, with an average accuracy exceeding 93% [1]. - The system can analyze the impact of various factors on emissions, including traffic conditions, surrounding landscapes, and meteorological conditions, revealing the spatiotemporal dynamics and driving mechanisms of carbon emissions [1]. - The technology has been implemented in Shenzhen, Guangdong Province, and is expected to be promoted to more cities for assessing the actual effects of urban road carbon dioxide reduction [2].