Integrating AI edge computing with sensor fusion systems provides a big step forward in improving the accuracy and dependability of sensor data. This study examines the present level of AI edge computing frameworks meant to reduce inaccurate sensor readings in judicious sensor fusion systems. It addresses alternative approaches, the importance of artificial intelligence in edge data processing and filtering, and how these technologies affect sensor network performance and dependability. The evaluation focuses on essential frameworks, architectures, algorithms, and the advantages they provide in real-world applications.