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The COTA team is heavily leveraging technology in its efforts to successfully decode and translate ancient heiroglyphics and writings.
Some of this technology is being developed in-house, but much of what’s being used has already been developed for different applications.
Some key components of COTA’s system include:
- Image manipulation technologies to improve the quality of photos submitted for translation, as well as glyph images that are used in the image matching. Images are processed for noise removal, feature detection, similarity, and more.
- Image matching technologies to match and find individual glyphs inside of photos that have been submitted for translation. Technologies COTA intends to deploy include a variety of standard image matching algorithms with newer AI technologies like TensorFlow and YOLO.
- Area optimization algorithms to detect and resolve issues related to area detection and glyph matching.
- Language detection and optimization algorithms to deliver the highest quality translations possible.
We build our solutions on top of an Open Source “LAMP stack” – which means the Linux Operating System, Apache web server, MySQL database, and PHP. We make use of a variety of other programming languages, databases, etc, but the LAMP stack provides the key backbone to our solution.
