The challenges faced in inspecting automotive die-cast parts are particularly daunting. The large size of the products and the wide variety of complex surfaces have long hindered the implementation of efficient inspection. Guangzhou Antelli Technology has developed a multi-view collaborative imaging system. This AI-powered visual inspection system for automotive die-cast parts is equipped with a Siemens edge server. Leveraging its powerful local real-time computing power and millisecond-level data processing capabilities, it overcomes the bandwidth bottleneck associated with transmitting massive amounts of images, enabling 360-degree, all-around visual coverage with no blind spots. It precisely “locks onto” hard-to-inspect areas such as deep cavities, grooves, and curved surfaces. The flexible motion control module supports high-speed scanning, instantly capturing defects. Inspection of a single point takes only 120 milliseconds—a 74.4% reduction compared to industry-standard inspection times—fully adapting to high-speed production line rhythms. It identifies defects as small as 0.1 millimeters, with a false negative rate as low as 5%.