Over the past several months, we have worked diligently to collect a catalog of digital data documenting the Atlanta Prison Farm structures. Some of this data has been processed and is ready to be explored, while some of it is raw data that we will be making publicly accessible via the Open Source Data page.

Here you can find an assortment of digital media products through which you can interact with the Atlanta Prison Farm, right from wherever you are.

Matterport Scan

In the interface below, you can ‘walk’ through the first level of the Atlanta Prison Farm. Please use the arrows to move around.

https://my.matterport.com/show/?m=VX6PCtejMJG

Sketchfab Model

In the interface below, you can view the 3D model of the Atlanta Prison Farm. Feel free to pan, zoom, and move around in the window. You will also see annotations that will move you around the structure and offer more information.

https://sketchfab.com/3d-models/the-old-atlanta-prison-farm-16ba91b90efa446eba643d2ea26e00b4

This model was created using drone photogrammetry (defined as the science and technology of obtaining reliable information about the physical world through recording photographic or electromagnetic images). On an early morning in February, we set the drone to take photos at regular intervals in a grid-like pattern; we then used processing software to stich the images together and create this model.

If you’re interested in trying this yourself, the photogrammetry images are available in the Open Source Data page, in the Dropbox folder DJI Pilot PE.

ReCap Model

In the interface below, you can watch a video of screen captures from the 3D model in its processing software. Feel free to pause to have more time to look.

https://player.vimeo.com/video/747675765?h=53932ac4ea&badge=0&autopause=0&player_id=0&app_id=58479

This model was created through the use of 3D scanners. Four of us (two graduate students and two faculty – one from Georgia Tech and one from Auburn) spent nearly 6 hours on site, using three scanners that take 360 degree photos. Overall, we collected over 90 scans. We then spent many hours linking the scans together in the scanners’ software.

Our main objective was to make the data accessible and useful to the public; however, through our experience, we realized how difficult it was to find ways to make this easy for a layperson to use (especially us planning students coming in with little architectural background). We needed a computer with serious processing power and technical knowledge of multiple programs to get to the public facing model above. Data can be like that – easy (ish) to capture, but difficult to understand or distribute to others outside the process.