For the Cornell Box project, our original idea was to create a box of items that represent you, based on what you carry around with you.

An assortment of things I’ve carried around.

An assortment of things I’ve carried around.

The completed project, with an audio recording of an airport PSA.

The completed project, with an audio recording of an airport PSA.

PXL_20221206_205546112.jpg

PXL_20221206_225121771.jpg

PXL_20221206_210348054.jpg

The biggest challenge we ran into was that the Qlone app requires a printed black and white mat to position the item as it scans it, so the size of the items we can scan were limited by however large of a mat we can print out.

We tried to scan Jaxon’s headphones by printing out a larger mat by enlarging it and printing it out on 4 separate sheets of A4 paper, but we were unable to remove the half-inch margin on the sheet in the printer settings, so a white crossbar would show up in the scan. The headphones were also non-ideal to scan because in order to scan it with the app, Jaxon would have to walk around the periphery of the map while holding his phone up, and that caused a lot of movement. When we tried to do it without the mat, it would get confused with the white table we used and scan that as well, as you can see in the screenshot below of the headphone scan in the app.

Image gallery of all the items we scanned using the Qlone app.

Image gallery of all the items we scanned using the Qlone app.

Screen Shot 2022-12-13 at 22.28.29.png

Another challenge we ran into was finding a suitable TSA box asset from online 3D libraries. In the end Oliver helped us create one in Blender, which we added to our scene.

Placing the objects in the scene was fairly straightforward, as Marianne had demonstrated in class how to use the noodles interface to map a texture to a material and add that to an .obj file in the scene.

Finding free assets on online 3D libraries can be pretty limiting, especially when it’s an object like a Macbook, which we wanted to include in our box but was unable to scan ourselves as it was a larger item.

If we had more time, we’d investigate a better way to either scan larger items, or try a different app like Polycam which some of our classmates had used pretty successfully.

Airport audio recording from freesound.org

Airport audio recording from freesound.org

Screen Shot 2022-12-13 at 22.27.06.png

Screen Shot 2022-12-13 at 22.26.36.png

In conclusion, I think we were able to successfully convey our concept—objects we place into a TSA box are like mini representations of us, just in time for the holiday season when a lot of us will be traveling.