Artificial Intelligence Enhanced Environmental Detection System

This paper presents a novel approach to improve the accuracy ofenvironmental detection and prediction by incorporating artificial intelligence (AI)technology into existing detection systems. At the heart of our approach lies thecombination of a complex AI model with the hardware and software components ofthe inspection system. This combined approach can significantly improve theaccuracy of detection systems through greater ability to predict environmentalchanges and events, underscoring the superior performance of hardware and softwarecombined with AI technology. This paper delves into the details of hardware andsoftware design, and discusses measurement implementation methods using abuild-down machine. We also explore the practical application of AI models withinthe framework described above. In addition, this paper also describes theimplementation of communication protocols to ensure the effective data exchangebetween the system network and the artificial intelligence model. These protocols areessential for the real-time processing and analysis of environmental data, enablingsystems to respond quickly to detected changes.Keywords: Artificial Intelligence, Environmental Detection System, NetworkInterface Chip