See defects, anomalies, and hazards as they happen
Manual inspection is limited in scope and prone to error. IRIS Vision AI applies AI and machine vision to CCTV footage, drone imagery, photographs, and live video to detect defects, equipment anomalies, and safety issues in real time, and ties what it sees to the rest of your plant data in IRIS Foundry.
Visual data is the richest signal in the plant and the least used
Cameras already watch lines, equipment, and work areas, but nobody can watch every feed. Manual inspections are limited in scope and prone to error, and what they see rarely connects to time series and work orders. Vision AI turns unstructured images and video into structured data your teams can act on.
From camera feed to corrective action
Vision AI processes high-definition CCTV footage, aerial drone imagery, high-resolution photographs, and real-time video streams. It identifies product anomalies, equipment issues, and safety deviations as they appear, and it speeds detection, notification, and response.
Image and video data join the structured data model in IRIS Foundry, so what the cameras see sits alongside time series, work orders, and other plant data. Teams get one view of process, asset, and product state.
How Vision AI turns footage into action
From the camera feed to the fix, every step runs on the same IRIS Foundry data foundation.
Vision AI works from high-definition CCTV footage, aerial drone imagery, high-resolution photographs, and live video streams, so inspection coverage grows without someone watching every feed.
Automated inspection checks more often than manual rounds and finds product anomalies and deviations faster. It also counts items, takes measurements, and verifies components against tolerances, down to sub-millimeter dimension and geometry checks.
Subtle changes in how machinery looks or performs flag potential failures before a breakdown. Continuous monitoring of safety protocols surfaces hazards, so teams step in before an incident.
Image and video data join time series, work orders, and other plant data in the IRIS Foundry data model. Teams get one view of process, asset, and product state instead of a separate camera system.
What teams do with Vision AI
One platform covers inspection, maintenance, safety, and compliance.
Catch defects early
Automated quality control raises inspection frequency over manual checks and finds product anomalies and deviations faster, so teams cut scrap and rework.
Predict equipment failures
Subtle changes in machinery performance or appearance flag potential failures, so repairs happen before breakdowns, downtime shrinks, and equipment lasts longer.
Count, measure, and verify
Vision AI counts items, takes precise measurements, and checks components against tolerances, including sub-millimeter dimension and geometry checks.
Protect frontline workers
Continuous monitoring of safety protocols identifies potential hazards instantly, so teams step in before an incident.
Put images in context
Image and video data join time series and work orders in one structured model, giving a complete picture of operations for analysis.
Built for compliance and trust
Regulatory adherence, data privacy safeguards, protection against cyber threats, and ethical use with bias mitigation keep visual AI trustworthy.
Proven on the factory floor
Visual inspection accuracy Seagate reached, up from 50%, with SymphonyAI's Digital Manufacturing Platform.
Pre-built industrial connectors bring OT, IT, and engineering data alongside the images.
Questions about Vision AI
Straight answers for quality, operations, and IT teams evaluating AI vision for industrial inspection.
An AI and machine vision capability on IRIS Foundry that automates and improves visual inspection. It replaces limited, error-prone manual checks with real-time, high-precision defect detection and classification.
High-definition CCTV footage, aerial drone imagery, high-resolution photographs, and real-time video streams.
Product defects and deviations, equipment anomalies that signal possible failure, and safety or protocol issues. It also counts items, takes measurements, and verifies components against tolerances.
Image and video data are integrated into the structured data model in IRIS Foundry, so what the cameras see sits alongside time series, work orders, and other plant data.
It picks up subtle changes in machinery performance or appearance that point to potential failure, so repairs are scheduled before breakdowns. That reduces downtime and extends equipment life.
Privacy safeguards protect the identities and information of people and businesses in visual data, and security measures guard Visual AI systems against cyber threats and unauthorized access. Ethical use and bias mitigation are part of the approach.
Go deeper on Vision AI
The data sheet, use cases, and customer results behind IRIS Vision AI.
One platform: IRIS Foundry, Forge, and Flows
One unified data foundation, one way to build new AI applications, and one layer of agentic execution, built to work together across your plant.
The industrial DataOps platform that unifies OT, IT, and engineering data into one governed, AI-ready foundation.
Turn every camera into an inspector
Talk to someone who knows industrial data and machine vision, and see IRIS Vision AI working on your own operation.
