In response to the challenge of monitoring the quality of ink droplet injection in the field of digital inkjet printing, this study designs and implements a visual measurement system for ink droplets based on high-definition video image processing technology. The aim is to provide a convenient and accurate method to alert users on time to the quality of ink droplet injection in inkjets. The system can capture and analyze the image of a sprayed ink droplet by an inkjet in real time, effectively monitoring and evaluating the quality of ink droplet injection. This study uses high-definition camera equipment to capture real-time images of ink droplets sprayed by an inkjet head. By using image processing algorithms, the system can accurately extract key parameters such as the number, position, volume, and flight speed of ink droplets. Through detailed experimental verification, the algorithm and system developed by our research institute have demonstrated excellent performance in detecting ink droplet spray anomalies, achieving precise detection and evaluation of ink droplets. The ink droplet visual detection system can not only capture high-definition images of ink droplets in real time but also extract crucial information for quality evaluation, providing users with an accurate and reliable tool for evaluating the quality of ink droplets. Experimental results demonstrate that the proposed droplet visual inspection system significantly outperforms other systems, validating its effectiveness in droplet detection applications. The results of this study not only provide strong technical support for quality control of inkjet printing technology but also significantly improve traditional ink droplet detection methods through real-time monitoring and automated processing. This improves the efficiency and accuracy of inkjet printing and also greatly promotes the application of inkjet printing technology in various fields through innovative system applications, especially in high-precision printing. This in turn can significantly improve product quality and production efficiency.