Journal of Electrical Engineering and Automation

Automated inspection equipment is widely used in industrial production, yet the issue of misjudgment rates significantly hampers its effectiveness. This paper conducts an in-depth study on technologies to reduce misjudgment rates in automated inspection equipment, covering aspects such as improving detection accuracy, optimizing algorithms, and addressing environmental factors. Through measures like adjusting hardware parameters, enhancing image processing algorithms, building precise models, and controlling environmental interference, this research effectively reduces misjudgment rates while improving detection accuracy and reliability. These advancements provide robust technical support for high-quality industrial development and hold significant importance for advancing automated inspection technology and promoting industrial intelligent upgrading.

Automated inspection equipment; Misjudgment rate; Detection accuracy; Algorithm optimization; Environmental factors