Samsung C-Lab adds three innovative projects including indoor smart garden solution - TechSource International - Leaders in Technology News

Samsung C-Lab adds three innovative projects including indoor smart garden solution

AI-based user research platform and a portable directional speaker also join C-Labs.
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Samsung today announced that it will support three more projects from its in-house C-Lab start-up incubation program. Above . - Indoor Smart Garden Solution PLANTBOX.

Samsung today announced that it will support three more projects from its in-house C-Lab start-up incubation program. Above . - Indoor Smart Garden Solution PLANTBOX.

Samsung today announced that it will support three more projects from its in-house C-Lab (Creative Lab) start-up incubation program. It is now adding AGWART, CATCH FLOW and FOR MAKERS, bringing the total to 34 C-Lab alumni projects fully-fledged start-ups since 2015.

The first in the list is the AGWART created ‘PLANTBOX,’ an indoor smart garden solution that enables users to easily grow vegetables and herbs at home. It consists of a smart greenhouse similar to a small refrigerator, seed capsules, and an app. Users need to only insert the seed capsule of their choice and it automatically detects the species of the seed and optimises its internal environment including lighting, temperature, humidity, air quality and nutrients. Further, users are also able to monitor and control the environment via app.

CATCH FLOW developed ‘S-Ray’ is a portable directional speaker.

CATCH FLOW developed ‘S-Ray’ is a portable directional speaker.

CATCH FLOW developed ‘S-Ray’ is a portable directional speaker. The company says that unlike conventional speakers which spread out the sound in all directions, S-Ray focuses on sending the sound towards people so that can hear it perfectly. CATCH FLOW was able to build a smaller, lighter device and compared to previous solutions, S-Ray also runs on lower power without impacting volume or sound quality.

FOR MAKERS built ‘AppBee,’ a research platform that connects clients and users based on mobile usage patterns. After users’ opt-in, it predicts their characteristics by analysing their mobile usage patterns and automatically matches the users to suitable clients through AI-based algorithms.