Turn Images into Insights with Vision Events

When deploying a computer vision application, you might need to answer high-level operational questions like "how many quality issues did our vision app catch today?" or "which facility experienced the most downtime this month?". Traditionally, answering these questions required building a custom solution to store model predictions alongside the associated images and relevant metadata. That's why we're introducing Vision Events, a centralized hub that aggregates data from all your vision applications running across different cameras or geographic regions. By storing model predictions, images, and metadata in one place, it transforms raw outputs into searchable insights that drive better operational decisions. In this video, Riaz Virani, Enterprise Engineer at Roboflow demonstrates how to organize your production data into separate views and bring that data into the system via Roboflow Workflows, APIs, or edge device backups. You will also see how Vision Events fits into an active learning loop, allowing you to quickly filter for edge cases and add those specific images directly back to your project for retraining. = Resources = Try Vision Events today: https://app.roboflow.com/vision-events See documentation for Vision Events: https://docs.roboflow.com/deploy/vision-events = Chapters = 00:00 - Introduction 00:35 - Why Vision Events? Bridging the Gap Between Vision Models and Operational Insights 03:57 - Walkthrough: Setting up Vision Events and bringing data into the system 06:38 - Example: Medical Tools Staging & Active Learning 09:28 - Example: Battery Cell Quality Inspection 10:04 - Example: PPE & Safety Compliance Tracking