Oculyze

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City: Wildau

State: Brandenburg

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Country: Germany

Using cutting edge artificial intelligence (AI) technology, Oculyze has created computer vision software that automates tedious manual image analysis and speeds up lab work. This revolutionary approach was proven to be successful with the launching of the automated yeast cell counters &a; apps for breweries and wineries: • Oculyze BB 2.0 (Better Brewing) Yeast Cell Counter App • Oculyze FW (Fermentation Wine) Yeast Cell Counter App The Oculyze yeast cell counting kit works by using a microscope connected to a smartphone or tablet and the Oculyze app. The images are then uploaded to the cloud where they are analyzed by image recognition algorithms, offering quantitative real-time image analysis. Breweries and wineries of all sizes around the world have now chosen to replace the time-consuming and human error - prone standard method (yeast cell count using haemocytometer) with Oculyze, a far more reliable, fast, and cost-saving solution for monitoring fermentation during all the stages of the production process. While working on constantly improving its flagship products, Oculyze also focuses on bringing the advantages of cloud-based image recognition, like faster development time, lower cost and better image recognition to other applications such as ethanol and bioethanol (or ethanol fuel) production, blood or sperm counts, parasite detection in feces, asbestos fiber detection, emulsion analysis, and bacteria detection, thereby continuing to add applications to its cloud-based image recognition platform. Oculyze can offer turnkey solutions to businesses, integrating three essential components – the image analysis platform (for data storage &a; backup, user authentication, and task handling), a custom image analysis &a; recognition software and the image capture software developed by Oculyze. Alternatively, owing to the open nature of Oculyze’s API, its image recognition software can be fully integrated into existing software, improving on the solutions that already work.

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