AI detection, segmentation, object tracking, manual QA corrections, export intelligence and continuous learning datasets — unified for ADAS, GeoAI, Street View QA and visual operations.
Open Customer Demo View WorkflowDetect and track vehicles, pedestrians, poles, traffic signs, barriers, lane markings and roadway assets with confidence thresholds and QA escalation.
Add missing objects, edit bounding boxes, change classes, add attributes and save reviewer decisions.
Every correction becomes a reusable improvement dataset for future model tuning and annotation quality learning.
Live AI model demo: Velora VisionOps can process customer imagery through our AI model workflow for detection, tracking, segmentation, QA review and export generation.
Request a guided demo with your own operational imagery. Our team will walk through object detection, tracking IDs, segmentation masks, QA review, missed-object correction and export-ready JSON / CSV / COCO datasets.
Use the sample preview to understand the logic, then request an AI model walkthrough with your own road, field, street-view or asset imagery. For demo access, contact contact@veloraaiops.com.
For customer walkthroughs, upload a controlled sample set. Demo limit: up to 100 images. Supported formats: JPG, PNG or ZIP image sequence.
Ready for a live demo request. Upload a sample set or open the GPU viewer to process customer imagery.
Reviewer actions are stored with the original AI decision, corrected class, bounding box, attributes and QA reason.
Small or uncertain pedestrians are escalated instead of being overclaimed as walking or standing without confidence.
Export corrected JSON, CSV and COCO outputs for annotation delivery, training pipelines and operational reporting.
Manual QA canvas, add/edit/delete objects, corrected exports, improvement dataset.
Tiled small-object recovery, optical-flow heatmaps, pose-assisted human review.
Geospatial overlays, route-level scene analytics and reviewer productivity dashboards.
Cloud queues, role-based QA workflows, multi-user review and dataset governance.