VIDI

This prototype is an experimental object that explores the tonal quality of  the visual world by converting visual imagery to sound. It uses K-means clustering machine learning algorithm in OpenCV, generating MIDI nodes from a Raspberry Pi mounted with a Raspberry Pi Camera. This is all contained in a custom 3D-printed enclosure designed. I chose to engage with this topic due to my strong interest in computer vision and synthesizers. 

 

This project got exhibited at MDIT 'Next Exhibition' in 2019 semester 2. 

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Design compendium: https://www.behance.net/gallery/109343819/Design-compendium-for-VIDI