Ceptory
Feature
Track objects, people, and events across recorded video.
Follow movement and behavior across timelines using AI-powered video object tracking without relying on real-time processing.
Feature lens
Track
Ceptory Track converts video into connected timelines of movement and behavior. Instead of isolated detections, teams can trace complete journeys across multiple cameras and timelines, understanding where something came from, where it went, and what happened in between.
Delivery mode
Post-processing
Track objects across stored video footage with high accuracy and contextual continuity.
Tracking scope
Objects, people, events
Reconstruct movement paths and connect events across time and camera locations.
Deployment fit
Production-grade
Built for scalable AI object tracking across large video datasets and multi-camera systems.
Overview
What this feature unlocks
Ceptory Track converts video into connected timelines of movement and behavior. Instead of isolated detections, teams can trace complete journeys across multiple cameras and timelines, understanding where something came from, where it went, and what happened in between.
Capabilities
The core surface teams interact with.
Track objects, people, and vehicles across multiple cameras in recorded footage with continuous identity maintenance
Reconstruct complete movement paths and timelines from fragmented detections across frames and scenes
Maintain object identity across camera transitions, occlusions, and scene changes without manual re-identification
Connect isolated events into continuous sequences that reveal what happened before, during, and after an incident
Power investigation and compliance workflows with structured tracking outputs across large recorded video datasets
Workflow
How it fits into the larger Ceptory system.
01
Index and process recorded video sources across single or multi-camera environments into a unified tracking layer.
02
Detect objects, people, or events across frames using AI object tracking models suited to your operating context.
03
Apply continuous identity tracking to maintain subject continuity across time, camera transitions, and scene changes.
04
Generate movement paths and event sequences that feed into search, analysis, investigation, and reporting workflows.
Integration
Trace incidents step-by-step across cameras and feed structured outputs into investigation and compliance workflows.
Combine with search to answer questions like where a person or object moved across a facility or timeline.
Align tracking pipelines with enterprise deployment environments like cloud, private cloud, or on-prem.
FAQ
Is this real-time object tracking?+-
No. Ceptory Track is designed for recorded video, enabling accurate AI object tracking and event reconstruction after incidents occur without the constraints of real-time processing.
Can it track across multiple cameras?+-
Yes. Ceptory Track supports video object tracking across multiple camera feeds, maintaining continuous subject identity and contextual continuity across camera transitions and timelines.
What types of objects can be tracked?+-
People, vehicles, assets, and any detectable object relevant to the use case, including investigation, retail analytics, compliance review, and operational monitoring scenarios.
Why use AI tracking on recorded video instead of real time?+-
Post-processing allows deeper analysis, more accurate event reconstruction, and better investigation workflows. It removes real-time constraints and enables thorough review across large video archives.
Next step
Bring track into a workflow your team can actually run.
Start with this feature, then connect it to the rest of Ceptory’s search, analysis, and deployment surface.