In the Internet of Things andAIIn today's era of deep integration, the combination of visual recognition technology and intelligent cameras is reshaping the working mode of environmental protection. International Data Corporation（IDC）Prediction,two thousand and twenty-fiveThe expenditure on artificial intelligence in the field of global environmental monitoring is expected to reachforty-sevenBillions of dollars, with visual recognition technology applications accounting for over35%.

The traditional environmental monitoring mode that relies on manual inspection is facing fundamental changes. In the field of waste management, the intelligent monitoring system deployed by Haidian District in Beijing has verified the efficiency improvement brought by technological innovation. By installing a camera with edge computing capability, the system can analyze the filling status of garbage cans in real time, and automatically trigger the clearing and transportation warning when the capacity reaches the threshold. Operational data shows that this technology reduces the response time for garbage disposal62%Reduce labor costs45%.

The digital upgrade of garbage classification supervision has also achieved significant results. The intelligent supervision system piloted in Pudong New Area, Shanghai captures garbage disposal behavior through cameras combined with deep learning algorithms. When the system recognizes mixed disposal behavior, it can correct it in real time through voice prompts，Accurate recognition ratereach98.7%Within six months of trial operation, the classification accuracy of pilot communities has improved61%Upgrade to89%The year-on-year increase in resource recycling volumetwo point threeTwice.

The application scope of intelligent vision technology is extending to a wider range of environmental protection scenarios. The Shenzhen municipal department has deployedAIA composite camera is used to build an urban waterlogging warning network. These devices can accurately identify road surface water and combine meteorological data to achieve early detectionthreeAccuracy of hourly warning82%In terms of construction site supervision, NanjingEcological Environment BureauThe use of a bare soil identification system improves the efficiency of detecting dust pollution eventsfifteenTwice.

The value of technological innovation lies not only in the improvement of environmental governance efficiency, but also in the construction of sustainable development mechanisms. An intelligent environmental protection platform based on cloud edge collaboration architecture, allowing various regions to flexibly configure algorithm models according to actual needs.Shuangliu District, ChengduEstablished environmental protectionAIAlgorithm library has been accumulatedtwenty-threeA scenario model covering multiple dimensions from industrial pollution monitoring to animal tracking in ecological protection areas. This modular design reduces the construction cost of individual monitoring points40%And the improvement of data processing capabilitiesthreeTwice.

along with5GThe improvement of network coverage andAIThe continuous breakthroughs in chip computing power and visual intelligence technology are unleashing greater potential in the field of environmental protection. The environmental perception network constructed by this technology, from monitoring permafrost in the Arctic Circle to ecological protection of tropical rainforests, from tracking urban microplastic pollution to analyzing marine garbage belts, is providing an all-weather intelligent barrier for human protection of green mountains and clear waters. When technological innovation and ecological protection form a positive interaction, we have taken another solid step towards building a modern society where humans and nature coexist harmoniously.