The Humble Workshop - UEFN - RealityScan

Workshop front

Workshop front

This large ground was built with multiple scans of concrete patches, assembled together to create a complete and unique surface. We broke it down into 3 parts, the middle portion, sides and edges where it would interact with other assets.

This large ground was built with multiple scans of concrete patches, assembled together to create a complete and unique surface. We broke it down into 3 parts, the middle portion, sides and edges where it would interact with other assets.

Planter assemblies, scanned as multiple combined units.

Planter assemblies, scanned as multiple combined units.

Storage space where both useful and recently discarded timber and lumber gets stored.

Storage space where both useful and recently discarded timber and lumber gets stored.

Timber stacked and ready to be used in the workshop.

Timber stacked and ready to be used in the workshop.

Main workstation where the artisan does most of his work.

Main workstation where the artisan does most of his work.

Workstation located right outside the covered shop, where the artisan stores his tools and performs detailed machining.

Workstation located right outside the covered shop, where the artisan stores his tools and performs detailed machining.

Tools and machine rack

Tools and machine rack

Machine workstation

Machine workstation

Power cutter

Power cutter

The roof was created using a scanned metal frame and a total of 5 scans of wooden planks, randomized playfully to create this large and unique assembly.

The roof was created using a scanned metal frame and a total of 5 scans of wooden planks, randomized playfully to create this large and unique assembly.

Backyard storage

Backyard storage

Backyard storage, where most discarded objects are stored

Backyard storage, where most discarded objects are stored

Side lawn
Built with scanned ground patches, later populated with some megascans foliage.

Side lawn
Built with scanned ground patches, later populated with some megascans foliage.

Sitting corner, also built with scanned assets including the main planter, bench, walls and bricks.

Sitting corner, also built with scanned assets including the main planter, bench, walls and bricks.

Asset Zoo of 169 assets that were cut, combined and reused in multiple ways to create assemblies, extracting wall surfaces, ground materials and dress up of the entire workshop scene.

Asset Zoo of 169 assets that were cut, combined and reused in multiple ways to create assemblies, extracting wall surfaces, ground materials and dress up of the entire workshop scene.

The initial blocking was done with assets already included in UEFN. I used the Fortnite walls and ground assets to scale the project and then created the rest of the scene with only scans from the RealityScan app.

We broke points of interest like this table, down to individual assets, scanned them with RealityScan and then built the assemblies from scratch.

We planned the project intuitively from the beginning, deciding which assemblies needed to be scanned as a whole and which ones required more detail like individual planks, logs, timber, tools and machines etc.

The covered workspace was where most of the detailed machining was performed, so we scanned each asset individually and built the scene like playing with lego bricks.

The roof was created using a scanned metal frame and a total of 5 scans of wooden planks, randomized playfully to create this large and unique assembly.

'The Humble Workshop' is an internal project spanning a brief two-week period. It was part of a challenge to explore the capabilities of the RealityScan app and its integration with Unreal Engine for Fortnite (UEFN). This particular project entailed the process of manually scanning a comprehensive set of 169 objects, encompassing not only intricate 3D assets but also diverse surfaces and some foliage elements like pots and planters.

The overarching goal was to expedite the development of a fully playable scene within Unreal Engine for Fortnite (UEFN) while adhering exclusively to scanned assets, without reliance on external or third-party resources. Leveraging the collective expertise of our adept team, comprising three skilled artists, we successfully executed the scanning, processing, cleanup, assembly, and seamless implementation of mobile photogrammetry techniques within UEFN.

Throughout the duration of this project, I assumed multiple responsibilities which encompassed setting up the scene in UEFN, performing initial blocking and design, providing assistance during the initial scanning phase, scene dressing with scanned assets, developing material shaders, refining models where it was required, lighting, overseeing lookdev, producing cinematics, final rendering and collaborating with Daanish Qureshi to create the process shots.

Project team members:
Asim Salman
Danish Qureshi - https://www.artstation.com/deez1722
Usman Iqbal