Recording submission
Upload video files and specify analysis parameters — maze type, detection model, zone definitions — via API call.
RESTPython SDK
← Capabilities
REST API and SDK Access
Integrate ConductVision analysis into your data pipeline
Submit recordings, configure analysis parameters, and retrieve results programmatically — REST API for any language, Python SDK for rapid integration.
REST
API protocol
Python
SDK language
Batch
Multi-recording submission
Webhook
Completion callbacks
The problem
GUI-only software creates pipeline bottlenecks
When every analysis requires manual GUI interaction, integration with LIMS, automated overnight processing, and custom analysis scripts becomes impossible. Labs with high throughput cannot afford to manually load, configure, and export each recording.
- Manual GUI interaction prevents integration with laboratory information management systems
- Overnight batch processing requires someone to set up each recording individually
- Custom downstream analysis scripts cannot pull data without manual export steps
The solution
Full programmatic access to tracking and analysis
ConductVision exposes tracking and analysis functions through a REST API. The Python SDK wraps common workflows — submit a recording, poll for completion, download results — into single function calls.
- REST API endpoints for recording submission, parameter configuration, and result retrieval
- Python SDK with high-level wrappers for common analysis workflows
- Webhook callbacks notify your pipeline when analysis completes — no polling needed
Endpoints
API integration points
Result retrieval
Download tracking results, heatmaps, annotated videos, and summary statistics in standard formats via authenticated endpoints.
CSVJSONPNGMP4
Batch job management
Submit multiple recordings, monitor job progress, and retrieve results for entire cohorts through batch endpoints.
RESTWebhook
Applications
Integration scenarios
Laboratory information management
Connect ConductVision to your LIMS — recording metadata flows in, behavioral results flow out, automatically linked to animal IDs and study protocols.
Measures
- Automated data entry
- Study-linked results
- Audit trail
Automated batch analysis
Submit the day's recordings via script at end of day. Results ready by morning without manual intervention.
Measures
- Batch submission
- Queue management
- Completion notification
Post-processing workflows
Pull tracking data into custom R or Python analysis pipelines for lab-specific statistics, modeling, or visualization.
Measures
- Data format compatibility
- Programmatic retrieval
- Streaming results
Cross-site data collection
Multiple sites submit recordings to a central API. Aggregated results enable multi-site preclinical studies with standardized analysis.
Measures
- Site-independent submission
- Standardized output
- Central result storage
Compared to typical systems
How ConductVision differs
| Feature | ConductVision | Typical systems |
|---|---|---|
| API access | Full REST API | GUI only |
| SDK | Python SDK included | No SDK |
| Batch submission | Multi-recording batch endpoints | One-at-a-time manual |
| Pipeline integration | Webhook + polling + streaming | Manual export |
| Authentication | API key + token-based auth | N/A |
Related capabilities
Data Export and Analysis
Standard CSV/JSON export compatible with any statistical software or analysis pipeline.
Multi-Arena and Batch Processing
Parallel arena recording and automated batch processing for high-throughput behavioral studies.
External Data Workflows
Re-analyze existing video recordings with ConductVision without re-recording experiments.
Connect ConductVision to your workflow
Get API credentials and start submitting recordings programmatically.
