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Aurora Solar Technologies Inc AACTF


Primary Symbol: V.ACU

Aurora Solar Technologies Inc. is a Canada-based company, which is engaged in the development, manufacturing and marketing material inspection and inline quality control systems for the solar polysilicon, wafer, cell and module manufacturing industries. The Company's products include DM and TCM instruments, Insight, Visualize and BT Imaging. Its services include system configuration and performance planning, such as design and engineering of DM, Visualize and Insight configurations to fit its client production line. The Company's Visualize product optimizes and controls processes by providing operators and process engineers with real-time three-dimensional visualization of intra-furnace dynamics, both spatially and by batch. Its BT Imaging product offers offline and inline photoluminescence inspection equipment for photovoltaic materials including silicon, perovskite and thin film materials for use at different processing stages from ingots, as-cut wafers and cells, to solar modules.


TSXV:ACU - Post by User

Comment by CrazyPropheton Oct 21, 2021 7:17am
108 Views
Post# 34031313

RE:RE:RE:Maybe next year

RE:RE:RE:Maybe next yearThis should be coming out of the oven anytime !?
With all the covid roadblocks things are a little behind !

The principal objectives of this evaluation project are to determine the yield management and quality control cost-saving potential of Insight Essentials, and to quantify the business case for its use as a subscription-based product in a high-volume production environment. The project is expected to start during March 2021, will be for an initial period of 90 days, and is expected to fully complete within 180 days.

"We are very pleased to announce this evaluation project with one of the industry's technology leaders," said Gordon Deans, Aurora's Chief Executive Officer. "They are a long-standing Aurora customer, and we value their support as we implement our vision to create a new industry standard by improving solar cell manufacturing yield and performance measurement through the intelligent mining and analysis of available data."

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