{"id":2593,"date":"2022-05-04T15:16:45","date_gmt":"2022-05-04T19:16:45","guid":{"rendered":"https:\/\/courses.ideate.cmu.edu\/48-339\/s2022\/?p=2593"},"modified":"2022-05-04T15:16:45","modified_gmt":"2022-05-04T19:16:45","slug":"final-project","status":"publish","type":"post","link":"https:\/\/courses.ideate.cmu.edu\/48-339\/s2022\/?p=2593","title":{"rendered":"Final Project"},"content":{"rendered":"

For the final project, I installed light sensors and ultrasonic sensors in and around a lasercut chipboard topography model to achieve several different objectives.<\/p>\n

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Landscape Topography Model<\/figcaption><\/figure>\n

My final project consists of 4 parts:<\/p>\n

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  1. Visualizing Light Sensor Data on a Digital Model<\/li>\n<\/ol>\n

    This exercise builds on previous work in the visual crit, in which data coming from light sensors influenced the visual patterns of the topography model in Rhino. In this version, light sensor data is used to create a gradient from white to black in Rhino\/Grasshopper, which can either be viewed as a plan in 2d, or projected over the digital topography surface to be viewed in 3d. The data has been smoothed and remapped over a cellular grid, with data points mapped onto the digital topography model to correspond with the locations of the sensors on the physical model.<\/p>\n

    Views of 2d and 3d visualizations of the light gradient below:<\/p>\n

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    2d Visualization of Light Sensor Gradient<\/figcaption><\/figure>\n
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    3d Visualization of Light Sensor Gradient<\/figcaption><\/figure>\n

     <\/p>\n

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    Part 1: GH Code<\/figcaption><\/figure>\n

    Demonstration of 2d visualization of light sensor data below:<\/p>\n