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Case Studies.
Read our Case Studies to learn how we have used synthetic algorithms to tackle worldwide environmental issues and to service a new generation smart thermal cameras, among others.
Resolve NGO: AI for good.
We worked with Resolve NGO to put their data science capabilities into high gear: deploying over 20 smart camera applications in 6 months across Asia and Africa. By creating AI using only synthetic data, we were able to improve their operational efficiency by 2000%, increase product battery life by 42x, and develop object detection algorithms for animals that are rarely photographed in the wild.
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FLIR: the global sensor market.
Working alongside FLIR’s engineering team as partners, CVEDIA designed a thermal synthetic pipeline that was able to train neural networks for a variety of use cases without the collection of more training data. CVEDIA integrated synthetic technology into FLIR’s engineering pipeline, providing FLIR with market-leading autonomous capabilities.
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GRIDSMART: Safety boost via CVEDIA.
In partnership with CVEDIA, GRIDSMART improved traffic safety by employing synthetic data and video analytics, addressing AI algorithm errors. Trained on simulated scenarios, the new AI models surpassed traditional ones. By optimizing AI for edge devices, they delivered efficient, affordable, and speedy AI solutions, bolstering GRIDSMART's traffic systems and intersection deployments.
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