The CVEDIA team supports manufacturing technology organizations 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

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A manufacturing plant came to us to begin work on a system that would effectively classify custom automotive parts in factory distribution and storage centres. They were able to successfully classify many parts but were having difficulty with custom automotive parts.

Creating a simulation environment with multiple automated annotations, CVEDIA was able to generate extensive metadata and annotation for each individual part. Exporting this as a training set, in partnership with the client we were able to train their system to effectively learn which parts it had never seen before, and then catalogue the exact specifications of the custom part.


Providing effective annotation to train their system to recognize custom parts would have been prohibitively expensive with collected data. With SynCity’s auto-generated annotation, their were no added costs for each type of annotation, and they were able to add and subtract annotation types at will to design the most effective training set.

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Synthetic Datasets Train your machine learning model on validated synthetic data
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SynCity Use SynCity to develop, train, and validate your computer vision system with custom simulations
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Algorithm Training CVEDIA Algorithm Training Services
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    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
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    Minimize project length
    • Training autonomous 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
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    Validate your system effectively
    • Account for unmet manufacturing scenarios that may be too difficult, expensive, or dangerous to explore, and simulate temperature conditions on your sensors
    • Choose from thousands of 3D models (or work with us to create your own) including infrastructure, production line parts, and humans to ensure your system behaves correctly during unexpected or edge case scenarios

Working with CVEDIA

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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.