Consumer Packaged Goods (CPG) manufacturers want to automate quality control processes in order to reduce scrap and rework, which are wasteful byproducts of an inefficient supply chain. Vision-Based Anomaly Detection solutions on AWS enable quality engineers to collect and analyze data from a variety of sources, including vendor-agnostic cameras, using automated processes that save time over the manual analysis of data. With these solutions, CPG manufacturing teams can utilize automated data analysis to generate predictive insights, including root-cause analysis, develop countermeasures to manage the entire process life cycle, and better achieve zero defects at scale.

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