CONTINUOUS IMPROVEMENT When Something Slips Through, We Close the Loop Fast
Even the best preparation can't cover everything. CVEDIA's active learning pipeline turns real-world edge cases into model improvements, deployed in days, not months.
Most AI Vendors Make You Wait
In typical video analytics deployments, handling a missed detection or false positive means filing a support ticket, waiting for someone to investigate, and hoping it makes the next quarterly release. Months pass. The same issues recur.
CVEDIA built something different.
From Field Issue to Fixed Model
When operators encounter edge cases in CVEDIA's VMS plugin, they don't file tickets. They submit feedback with a single click. That feedback flows directly into our training pipeline.
One-Click Reporting
Operators right-click any event thumbnail in the VMS client to flag issues
Automatic Ingestion
Flagged video, metadata, and context uploaded automatically
Rapid Retraining
Edge cases incorporated with synthetic variations for coverage
Regression Validation
Updated models tested against existing benchmarks
Seamless Deployment
Validated models pushed automatically, no downtime
Days, not months. Typically under a week from report to deployment.
Built for Operational Reality
Zero-Friction Feedback
Operators report issues directly from the VMS interface. No context switching. No workflow interruption.
Automated Retraining
Edge cases flow into training pipelines automatically. No manual data handling. No bottlenecks.
Safe Deployment
Every model update passes regression testing before release. Improvements never come at the cost of existing reliability.
"Every edge case in production is an opportunity for the AI to get better, no ticket juggling or waiting for the next release cycle."
Arjan Wijnveen
CEO, CVEDIA
Reactive Speed, Proactive Foundation
The active learning pipeline handles what slips through. But CVEDIA's models start with a massive advantage: they're pre-trained on synthetic data that already covers most edge cases before deployment.
Proactive: Synthetic Data
Models arrive prepared for difficult conditions. Rare events. Unusual scenarios. The hard work happens before deployment.
Learn about Synthetic DataReactive: Active Learning
When something genuinely new appears in the field, the pipeline captures it, learns from it, and deploys the fix, fast.
Works Where You Work
CVEDIA AI Appliance
Turnkey hardware optimized for multi-site security operations with centralized management and SOC integration.
Learn more →VMS Plugins
Native integration with Milestone XProtect, Nx Witness, and Hanwha WAVE for seamless alert routing to your existing platform.
View plugins →CVEDIA-RT SDK
Full API access for custom integration into your security operations center workflow and proprietary systems.
Documentation →See the Learning Loop in Action
Schedule a demo to see how CVEDIA's active learning pipeline works in practice.