A quality warning method for firearm component production based on cloud edge collaboration is proposed to address quality issues in the manufacturing process of firearm components. Through cloud data analysis and edge intelligent perception, real-time warning and rapid processing of abnormal situations in the production process can be achieved, thereby improving the production rate and quality. Through the cloud edge collaborative architecture, the cloud training of the model and real-time sample collection at the edge are achieved, enhancing the adaptability of the firearm component quality warning algorithm under specific working conditions and the real-time quality warning. Intelligent warning feedback is also achieved through edge intelligent perception technology. The experimental results show that this method has high real-time performance and accuracy.