OpenEye Added AI Search to Web Services
The platform has integrated natural-language processing for video search and procedural automation.
Updated on Sept. 21, 2026 in Artificial Intelligence
OpenEye has announced the addition of AI Visual Search and AI Visual Check to its OWS cloud video solution. These new tools enable users to query video libraries and automate routine procedures using natural-language inputs.
Why it matters
By incorporating natural-language processing into cloud-based video management, the company aims to streamline security operations and operational oversight. This shift allows for faster information retrieval compared to manual index searching.
The new features leverage a cloud-based architecture to process natural-language inputs against video data. This extends the capability of the existing AI Analytics suite to support automated procedure verification.
The players
OpenEye
A provider of cloud video solutions focused on security and operations software.
The details
The system allows users to surface specific video segments through natural-language prompts, which interprets intent to query large video archives. Additionally, the AI Visual Check tool performs automated procedure monitoring by analyzing visual data streams against predefined parameters. These tools reside within the OpenEye Web Services cloud environment, providing a centralized interface for operational security.
Timeline
September 21, 2026: OpenEye announced the integration of new AI features for OWS.
The Tech Race
This integration follows a broader industry trend where enterprise video management platforms are incorporating natural-language querying to replace manual search workflows. It marks a push to move beyond static metadata tagging toward dynamic, intent-based analysis of visual assets.
Users can now interact with video systems using conversational language rather than manual time-stamp hunting. The updates are currently available within the OWS cloud platform to enhance security and daily operational workflows.
The takeaway
The move demonstrates an increasing priority on automating routine video surveillance and procedural audits through AI integration. Future updates to monitor include adoption benchmarks and performance reports on the accuracy of natural-language search results in large-scale installations.
Further reading
For broader trends in enterprise visual analysis, see the latest developments in Artificial Intelligence.
Source note: This article includes information reported by Security Distributing & Marketing Magazine.
