The CVEDIA team supports smart sensor producers in testing, training, and validating their systems. CVEDIA is an industry leader in the use of custom synthetic data to develop new sensor technology. Our systems have been precisely built to minimize the gap between real and synthetic data for fluid algorithm training.

CVEDIA simulation tools are designed from the ground up to support and accelerate development from the earliest to the latest stages in the development process. Our SynCity simulation platform provides broadly representative data for new projects, and is used in data intensive classifier training to augment real world data, fill in gaps in coverage, and control for sampling bias. The result is rapidly produced, higher quality training sets that dramatically reduce field data collection, data storage, and labelling expenses.

Use Case

Ask a question

FLIR Systems, the world’s largest thermal sensor manufacturer, is both a client and investor of CVEDIA. “This investment in CVEDIA will enhance our ability to innovate sensing solutions that enable our customers to more quickly and accurately make their mission-critical decisions,” said James Cannon, President and CEO of FLIR in their press release.

Among benefits of SynCity for sensor manufacturers is the ability to test new software or hardware in a simulated environment. What happens when a lighting or weather edge case occurs, for example, or how object detection responds to a new update before devices are approved and shipped.

Working with CVEDIA, FLIR is able to imitate their own thermal sensor data output when exporting synthetic training sets. This makes algorithm training seamless whether using synthetic or field data. For LiDAR manufacturers, SynCity is the only simulator that can mimic device communication at the protocol level. The benefit of this is minimized confusion for neural networks when analyzing synthetic data.

“The addition of software algorithms that automatically inform a user or system of critical information is a valuable feature that augments the distinctive and rich data our sensors produce. We see wide applicability of these tools in our innovation of highly advanced solutions, and we look forward to the collaboration with the CVEDIA team.” – James Cannon, CEO and President of FLIR

article image
Synthetic Datasets Train your machine learning model on validated synthetic data
Read more
article image
Simulation Use SynCity to develop, train, and validate your computer vision system with custom simulations
Read more
article image
Algorithm Training CVEDIA Algorithm Training Services
Read more
Benefits
  • icon
    Reduce total project expense
    • SynCity reduces or eliminates the need for sensor deployment and field data
    • CVEDIA synthetic data dramatically reduces data collection and storage expenses
    • SynCity retrieves metadata and annotation from synthetic data - an expense you can absolve from your project
  • icon
    Minimize project length
    • Training smart sensor applications on synthetic data dramatically reduces time requirements for gathering and organizing field data
    • Datasets can be created and exported in minutes in the browser with SynCity
    • CVEDIA uses assisted algorithm training by choosing which algorithms to apply to most quickly and completely validate your machine learning system
  • icon
    Validate your system effectively
    • Account for unmet field data scenarios that may be too difficult, expensive, or dangerous to explore, and simulate fog, sun glare, dust, sand, and water on your sensors
    • Choose from thousands of 3D models (or work with us to create your own) including infrastructure, natural elements, and humans to ensure your system behaves correctly during unexpected or edge case scenarios

Working with CVEDIA

image
Talk to a team member

CVEDIA projects are developed by an experienced in-house team led by synthetic data industry leaders Arjan Wijnveer and Rodrigo Orph. Our team has been carefully vetted for over 10 years and includes AI veterans with backgrounds in machine learning R&D and large scale deployment.

CVEDIA works iteratively on client projects until satisfactory results are met. Our team has been met with praise from previous and ongoing clients across a range of industries, and we’re happy to be backed by FLIR Systems, the world’s leading thermal sensor producer. CVEDIA works to create custom environments and tool systems for each project, with varying levels of in-house service dependent on client needs.