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Step-by-step guide for initial setup and first-time use of the INSPIRE scanner.
Specifies the necessary computer and mobile device requirements for compatibility.
Details the available connection methods (USB Cable, Wi-Fi) for various operating systems.
Step-by-step instructions for establishing a USB connection between INSPIRE and a PC.
Step-by-step instructions for establishing a Wi-Fi connection between INSPIRE and a PC.
Instructions for connecting INSPIRE to smartphones using a USB cable with the Mobile Kit.
Instructions for establishing a Wi-Fi connection between INSPIRE and a mobile phone.
Details the main menu bar including File, Display, Accessories, and Help functions.
Contains processes for scanning, editing, and aligning a model (Scan, Edit, Merge tabs).
Configuration options for data capture, influenced by object type and environment.
Options for scan accuracy (Standard vs. High-speed), affecting processing time and detail.
Methods for tracking objects (Feature, Marker) based on their surface characteristics.
Classifies objects (General, Dark, Face, Body, Large) to optimize scanning parameters.
Optimized for scanning people or larger objects from a distance, with adjusted exposure.
Enables the fastest scanning rate for large objects; does not support automatic exposure.
Captures texture data from the RGB camera, mapping it to the 3D model for realism.
Crucial settings for Exposure, affecting 3D data and texture capture accuracy.
Automated process for point cloud fusion, mesh construction, and texture mapping.
Process of merging individual scan data sets (frames) into an editable Point Cloud.
Detailed tools for refining Point Clouds and Meshes, including Isolation and Overlap Detection.
Two methods for aligning scans: Feature Alignment and Marker Alignment.
Automatically aligns scans by identifying overlapping areas in point clouds.
Manually aligns scans using reference points placed on the object's surface.
Troubleshooting steps for when the scanner captures insufficient point cloud data.
Guidance on re-targeting the scanner to re-acquire tracking after a loss.
Troubleshooting frequent tracking loss due to object surface characteristics like symmetry.