
Epicor Connected Process Control (CPC) is a flexible no-code/low-code MES and manufacturing operations platform that helps manufacturers improve quality, consistency, and visibility across production and assembly operations. Create digital work instructions with multimedia content, guide operators through critical tasks, connect equipment and devices across the shop floor, and capture production and quality data without extensive programming.
CPC provides product traceability with a complete historical record of each product's build and inspection history. Real-time insights into quality, performance, defects, rework, and production trends help teams identify issues faster, reduce waste, and support continuous improvement.
Manufacturers use CPC to standardize production and assembly processes, improve operator consistency, and support assembly verification, error proofing, quality inspections, and production monitoring across the shop floor.
Whether deployed in a single work cell, across multiple production lines, or enterprise-wide, CPC scales to support manufacturers of all sizes. Available on-premises or in the cloud, it adapts to your operational requirements and manufacturing processes.
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Jama Software® is focused on maximizing innovation success in multidisciplinary engineering organizations. Numerous firsts for humanity in fields such as fuel cells, electrification, space, software-defined vehicles, surgical robotics, and more all rely on Jama Connect® requirements management software to minimize the risk of defects, rework, cost overruns, and recalls.
Using Jama Connect, engineering organizations can now intelligently manage the development process by leveraging Live Traceability™ across best-of-breed tools to measurably improve outcomes. Our rapidly growing customer base spans the automotive, medical device, life sciences, semiconductor, aerospace & defense, industrial manufacturing, consumer electronics, financial services, and insurance industries.
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Google Cloud Vision AI
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
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