Learn how new shop floor-ready apps built on proven machine vision and AI expertise are helping a distillery and electronics manufacturer digitize and automate error-prone manual processes to avoid downtime, rework, waste, and customer returns that eat into profitability and damage brand reputation.

Overview
Human inspection is still an important part of manufacturing, especially for companies specializing in short-run, customized, and regional products. However, when we get tired, bored, or distracted we tend to make mistakes that translate into downtime, rework, waste, and customer returns that eat into profitability and damage brand reputation.
This webinar will discuss how new shop floor-ready apps built on proven machine vision and AI expertise are helping manufacturers digitize and automate error-prone manual processes. We will demo how with a suite of scalable apps, manufacturers can reduce human error and ensure consistent and reliable product quality decisions, visually train new employees, speed assembly steps, and gather data for continuous improvement.
We will then look at how two manufacturers are deploying digitization and automation technologies. Diary Distillery uses AI-based apps to digitally train new employees, add in-process operator assistance, and final quality control checks to ensue consistent brand quality. Electronics manufacturer Dica will explain how they use AI-based decision-support alongside traditional machine vision inspection, and why collecting digital data from manual processes is important for their business.
Key Takeaways
- Learn how new apps based on AI and machine vision reduce errors that lead to costs, delays, and quality concerns by making human decisions consistent, reliable, and trackable
- Streamline processes and drive analysis-based continuous improvement by saving, storing, and sharing visual images and data from your manual processes
- Start digitizing manual processes immediately with frontline process-ready apps that are quickly and easily customized to your unique requirements, without requiring coding or expensive system integrator support