What’s the future impact of computer vision?
Computer vision is growing fast and will impact all our futures as a part of improving all operations requiring human eyes — even activities in which human interface is needed, such as machine maintenance and manual quality assurance. Currently, the primary use of computer vision is “digitising” forms and spreadsheets. Here, computer vision models can significantly accelerate text recognition and data capture whilst monitoring quality and “automating the human” interaction, e.g. in our solution qcKen.
We currently know how to robotically extract data from “paper” documents, making it accessible in a central system. Globally it helps digitise clinical trial documents, patient reports containing historical clinical data or historical medical records and even historical lab notebooks. AI (Artificial Intelligence), and especially ML (Machine Learning), still needs human control since its mostly statistics and probabilities at the root. It would be reckless to let algorithms do sales target setting and business strategy by themselves without a human involved, and so there needs to be a a complementary flow and interaction.
For the future, the industry needs people to configure and experiment with these new technologies and optimise their use. In other words, computer vision is not meant to replace people but to augment and support their performance, as seen in image-based disease diagnostics case studies.
In conclusion, science-driven industries will modernise and deliver citizen health benefits by using AI/ML because everyone wants to ensure speed and accuracy is at the forefront of their research and development. With this in mind, a digital transformation is the only real option that can help them compete, innovate, and efficiently comply with legislation.
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