Revopoint POP 4 First Look: AI Segmentation and No-Spray Coin Scans

The Revopoint POP 4 made a strong first impression in this hands-on test: its AI segmentation kept a small statue separated from the background while scanning, and its laser mode captured usable detail on reflective coins without scanning spray. This is not a long-term verdict. It is a record of the unboxing and the two early tests shown in the video, including the settings, cleanup choices, and limits that matter before turning a scan into a printable mesh.

Quick takeaway from the first scans

For a small statue, the POP 4’s AI segmentation was the standout result. The feature selected the statue as the subject and, during the scan, did not add Rob’s hand to the capture. The scan still needed ordinary cleanup: the raw data contained isolated artifacts, and the final mesh benefited from fusion, isolation, and high-quality meshing. For the reflective coin test, Rob captured the silver coin without scanning spray and found the result substantially more usable than a no-spray attempt from another scanner. That is promising, but it is still an early test rather than proof that every shiny or metal object can skip preparation.

What came in the POP 4 box

The unboxing in the video includes the carrying case with organizers, calibration board, scanner, USB-C cables, an outdoor lens, automated turntable, tripod, mobile battery unit, markers, and the instruction manual. The calibration board is included for recalibration if needed; Rob assumed the scanner arrived pre-calibrated and moved directly into the first tests.

Test 1: small statue with AI segmentation

The first object was a small statue roughly two to three inches tall. Rob opened a new scan in Full-field HD, explaining that it was the better choice for the small statue; he would choose Hybrid HD for a larger statue. The test used high accuracy, the Normal object type, the default scanning distance, color scanning, and automatic exposure.

Before starting, Rob enabled object segmentation and checked the preview. The software automatically selected the statue as the primary item, but one small area was dropping in and out, so he made sure that area remained selected. During the scan he kept the scanner at the appropriate distance, rotated the subject on one axis, and lifted it to capture additional angles. The practical benefit shown here was not that segmentation eliminated all work; it reduced unwanted capture while he concentrated on coverage.

Cleanup and mesh choices used in the video

• Inspect the point cloud first. The statue had random artifacts even though most of the useful data was present.

• Fuse at the recommended 0.23 setting for this capture, then remove isolated points that are not part of the main subject.
• Use high-quality meshing and match the grid value to the fusion value (0.23 in this statue example).
• Do not enable hole filling automatically. Rob’s advice for a statue was to re-scan when possible because filling can affect quality; use selective repair only when you understand which gaps should be closed.

The completed mesh showed the statue’s detail clearly enough to export. The FDM print looked good to Rob, although he noted that the scan looked better in software than the final FDM print and that a resin print would likely reproduce fine detail more closely. For printing, he exported the mesh rather than the point cloud; OBJ, STL, and 3MF were the common options mentioned, and he typically defaults to OBJ.

Test 2: laser scan of a reflective silver coin without spray

The second test targeted one of the more frustrating 3D-scanning problems: a reflective coin. Rob explained that many scanners he has used needed scanning spray for highly reflective objects and metals, with cans typically costing $20–$30. He chose Global Marker tracking because laser-line scanning requires either Global Marker or Marker mode.

For the coin, the video uses Cross Line scanning, high accuracy, the Metallic/Shiny object type, a 0.15 setting to pursue more detail, and the default scanning distance. Rob pointed out that Single Line can be useful for deep holes or other areas needing more detail and can be selected after pausing a scan. While capturing, he kept the scanner in the green distance range, aimed for complete blue coverage, and changed angles to catch the coin’s edge.

The live interface showed about 106 frames per second during the pass. The raw cloud already contained facial detail, although Rob missed a small area on the coin’s side. His workflow was to fuse at high quality with the 0.15 value matching capture, mesh at high quality with the same grid size, and postpone hole filling until after the mesh exists. That leaves you with a clearer decision about whether a gap is missing data or intentional geometry.

What the no-spray result does—and does not—show

After scanning both sides and combining them, the coin mesh looked good in the first test. Rob also scanned a regular half dollar as a side-by-side reference. His comparison to another scanner without spray was striking: the other no-spray attempt was essentially unusable, while the POP 4 result was usable and retained visible detail. That is a meaningful early result for this workflow, but it is not a universal promise. Material, surface finish, shape, tracking, lighting, coverage, and cleanup still determine whether a particular reflective part can be scanned successfully.

A practical POP 4 first-scan workflow

Use this sequence as a repeatable starting point from the video rather than a replacement for testing your own object:

• Choose a scan mode that matches the object size: Full-field HD for the small statue shown here, or Hybrid HD for a larger object.
• Set the object type, accuracy, color option, exposure, and distance before capture; confirm the subject in the preview if using segmentation.
• Capture coverage deliberately. Keep distance in the good range, move around the subject, and add angles for recessed features and sides.
• Review raw data before applying automated cleanup. Use fusion, isolate stray points, then mesh with a value consistent with capture when that is the workflow you selected.
• Treat hole filling as a conscious repair choice. Re-scan when quality matters and the missing area can be captured.

• Export a mesh for a slicer, verify scale and thin features, then choose a print process that matches the detail you want to preserve.

Who this first look is useful for

This video is most useful for makers considering the POP 4 for small objects, figurines, coins, and other scanning jobs where subject isolation or reflective surfaces are a concern. The strongest evidence here is the hands-on workflow, not a broad product recommendation: AI segmentation reduced background capture for the statue, and the laser/marker setup made a reflective no-spray coin scan workable. If your work requires repeatable dimensional inspection, complex glossy parts, or a buying decision based on long-term reliability, treat this as an early data point and look for the follow-up testing Rob planned.

FAQ

Can the POP 4 scan a silver coin without scanning spray?

In this first test, Rob produced a usable scan of a reflective silver coin without spray using laser scanning, Global Marker tracking, high accuracy, the Metallic/Shiny object type, and a 0.15 setting. It is not a guarantee for every reflective object.

Does AI segmentation make cleanup unnecessary?

No. It helped isolate the statue and ignored Rob’s hand during the scan, but the raw data still contained isolated artifacts. The workflow shown uses fusion, isolation, and meshing before export.

What should I export for 3D printing?

Export the mesh rather than the point cloud. The video calls out OBJ, STL, and 3MF as common formats and uses OBJ as Rob’s typical default.

Continue the scan-to-print workflow

Once the mesh is exported, use the AI-to-3D and 3D-scanning hub to decide what comes next. For work that begins with an image rather than a physical object, see the Hi3D text-to-3D printable model workflow. If you are turning a generated visual into a physical print, the AI render to 3D print workflow covers that separate path.

For a different first-scan workflow that compares desktop and mobile capture and shows when marker tracking helps, see the CR-Scan Ferret Pro setup guide.

For the broader purchase decision and the exact scope behind this recommendation, see the best 3D scanner for 3D printing guide.