Manual quality inspection in high-speed packaging is labor-intensive and prone to error rates of 20-30% due to cognitive fatigue and inconsistent visual search strategies. This study investigates the performance and robustness of an integrated industrial vision system designed to address these shortcomings, consisting of a Cognex IS2000M camera and an Allen Bradley PLC communicating via the Ethernet/IP protocol. The experimental setup utilizes a unique mechanical indexing approach: a servo-driven timing screw maintains a synchronized 8-second interval between consecutive bottles to prevent vision sensor overload during high-frequency cycles. A comparative analysis of 120 samples was conducted to evaluate label and logo verification across static and dynamic states at a conveyor speed of 18.5 cm/sec. Statistical analysis performed in R using Two-Way ANOVA revealed a significant "Motion Penalty" for complex patterns; the mean confidence score for logo inspection dropped from 88.8% in a static state to 72.5% in a dynamic state (p = 0.0241). Despite this reduction, the system demonstrated stable inspection performance, with all samples exceeding the selected 50% confidence threshold and no statistically significant performance drift over time (p = 0.466). Although static capture produced higher raw confidence scores, dynamic capture maintained acceptable pass/fail inspection performance while reducing processing time from 400 ms to 250 ms per bottle. These results indicate that, under the tested operating conditions, dynamic inspection provides a measurable cycle-time reduction while preserving the required inspection outcome.