TVFuse: Multimodal Sensor Fusion On Demand

TVFuse lets you rapidly create connected arrays of multiple sensors from different modalities. It provides sensor-to-sensor-to-host time synchronization, as well as sensor-to-sensor-to-chassis spatial registration.
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Faster to Implement. Easier to Manage. Built to Scale.

Simply Manage Multimodal Data Flows

Fuse One to 100,000 Sensors

Spatial Registration Between Sensors & Chassis

Instantly Update Arrays With New Sensors

Fused Sensor Array Visualizations

Clock Synchronization Between Sensors & Host

Sensor Fusion Now Takes Minutes. Yes, Really.

TVFuse uses Tangram Vision's patent-pending Plex data structure to automatically create temporal and spatial models of sensor arrays. Whenever an array is calibrated with TVCal, TVFuse automatically adjusts fusion parameters to ensure all sensors are in perfect sync.

Tangram Vision

Time To Deploy

One Hour

Modalities Supported

Cameras, Depth (Now); 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

Open Source

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

Build It Yourself

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

Sensor Fusion Resources From Tangram Vision

Documentation & How-To’s

View Docs >

Calibration Target Library

Go >

Tangram Visions Blog
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Go >

Get Started with TVFuse