Photoscanning is an intricate task and can take a bit of learning to really master. There are three most common reasons for process failure or inadequte results:

1. Insufficient coverage: shortage of a variation of angles of photos taken of the subject may cause the algorithm to not have enough data to process the project, as it relies on overlapping features on the subject's surfaces to reconstruct a 3D model.
2. Insufficient 'feature points:' objects of shiny, reflective, uniform color, transparent, or translucent surfaces lack unique 'feature points,' which are the core identifiers for the algorithm to analyze. The overlapping unique features from frame to frame are what is the most essential element for photogrammetry. Avoid scanning objects with 'featureless' surfaces with this Photo Scan.
3. Auto Object Masking turned off: if you have moved the object during the capturing process, be sure to turn on Auto Object Masking when uploading the files, as this function serves for the algorithm to isolate the subject from the rest of the background.