🔍 Lumi captures visual data similar to popular apps like Brickit. It helps monitor fluid colors and supports quality control processes.
📹 Reach provides cameras and plans to release a wearable version. The goal? Enhance human assessment efficiency in scientific workflows.
Introduction:
The article discusses the innovative application of visual artificial intelligence (AI) by a U.K.-based startup, Reach Industries, focusing on its impact on early-stage process development and biomanufacturing. The company has developed a technology called Lumi™, which leverages visual data capture to enhance scientific workflows that traditionally relied on manual input.
- Reach Industries aims to revolutionize process development by utilizing visual AI for automating data capture and analysis in scientific contexts.
- Lumi™ employs algorithms similar to those used in popular image-recognition apps, trained on a database of science-related images, enabling it to interpret and assess various visual data inputs.
- The AI can be adapted for multiple applications, including monitoring changes in color of fluids and serving as an additional layer of quality control in laboratory settings.
- To facilitate data collection, the company offers Wi-Fi enabled cameras and plans to introduce a wearable camera to enable more flexible data capture options.
- Currently focused on early-stage development, Reach Industries aspires to extend Lumi™’s applications to Good Manufacturing Practices (GMP)-compliant industries in the future.
Conclusion:
The introduction of Lumi™ signifies a substantial advance in process development, highlighting the potential of visual AI to streamline and enhance the scientific discovery process. As Reach Industries continues to evolve its technology for applications in regulated environments, it may significantly impact biomanufacturing practices and data integrity in scientific research.
