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Let's explore if we can help accelerate your perception development and deployment.
Calibrate Every Sensor Simultaneously
Just One Dataset Calibrates All Modalities
Warped Target Auto-Correction
Calibration Quality Analysis
Visualizations for Faster Calibrations
Calibration History By Sensor or By System
TVCal typically needs just one dataset for all sensors. It auto-corrects for warped targets. And it identifies low quality calibrations to prevent customers from using them.
Sensor calibration can be a black box. You get values, but no idea if they're good or bad. That can be incredibly frustrating!
TVCal addresses that with verifiable calibration metrics. Be confident when calibration is good, and understand what went wrong when it’s bad.
There's a lot of reasons why, actually. Besides the most obvious (you'll tie up your best perception engineers for months), there's other factors to consider: data management, user processes, output validation, future development, and customer support. With Tangram Vision, you can deploy sophisticated calibration that scales...in an hour or less.
Time To Deploy
One Hour
Modalities Supported
Cameras, Depth; LiDAR, IMU, Radar (Soon)
Multi Modality Process
One Dataset Calibrates All Sensors
Quality Checks
Target Correction, Error Covariance
Data Management
Dashboard or API
Deployment
Cloud, Local Server, Edge
Support
Forum and Email with SLAs
Time To Deploy
Weeks to Months
Modalities Supported
Cameras, Depth
Multi Modality Process
Separate, Sequential Datasets
Quality Checks
None
Data Management
None
Deployment
Local Server
Support
Community
Time To Deploy
Months to Years
Modalities Supported
Cameras, Depth, ?
Multi Modality Process
Separate, Sequential Datasets
Quality Checks
None
Data Management
None
Deployment
Local Server
Support
None
