Deep learning startup secures investment for retail video analysis tech

March 27, 2018 Brandon Lewis

SOUTHAMPTON, UK. Aura Vision Labs has secured a $141,000 seed investment from the Web Science Institute’s Z21 Innovation Fund, and is joining the Collider accelerator. Aura Vision Labs’ deep learning (DL) technology uses computer vision (CV) and biometric identification techniques to analyze CCTV footage and detect the age, gender, and clothing style of each individual in a crowd. Data can then be analyzed by retailers using a cloud-based platform.

The startup, currently operating out of the Future Worlds incubator, is based on PhD research conducted at the University of Southampton by co-founders Daniel Martinho Corbishley and Jamie Lomeli. For more information, visit


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Brandon Lewis

Brandon Lewis, Editor-in-Chief of Embedded Computing Design, is responsible for guiding the property's content strategy, editorial direction, and engineering community engagement, which includes IoT Design, Automotive Embedded Systems, the Power Page, Industrial AI & Machine Learning, and other publications. As an experienced technical journalist, editor, and reporter with an aptitude for identifying key technologies, products, and market trends in the embedded technology sector, he enjoys covering topics that range from development kits and tools to cyber security and technology business models. Brandon received a BA in English Literature from Arizona State University, where he graduated cum laude. He can be reached by email at

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