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bq Ciclop User Manual

bq Ciclop
133 pages
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Ciclop
3D Scanner
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bq Ciclop Specifications

General IconGeneral
Type3D Scanner
TechnologyLaser Triangulation
Accuracy0.5 mm
Resolution0.5mm
Scan time2-8 minutes
ConnectivityUSB
Rotation PlatformYes
CompatibilityWindows, Mac, Linux

Summary

What is Ciclop?

Key Features and Specifications

Introduces Ciclop as a DIY, customizable, open-source 3D scanner with key features.

Ciclop Hardware and Technology

Hardware Design and Assembly

Focuses on easy building and open design for improvements.

Laser Triangulation Technology

Explains the core technology used for 3D scanning.

Auto-Calibration Process

Describes the automated calibration for accurate results.

Scanning Best Practices

Factors for Good Scanning

Discusses lighting, object material, and color for optimal scan quality.

Ambient Lighting Recommendations

Recommends uniform, indirect lighting to prevent reflections and shadows.

Object Material and Color Impact

Addresses challenges with glossy materials and color affecting scans.

Wizard Mode

Overview and Starting

Guides users through a step-by-step process for 3D scanning.

Connection and Preferences

Details setting up connection, adjusting brightness and pattern distance.

Calibration Steps

Covers manual laser adjustment and main calibration using a pattern.

Scan Configuration

Defines scan resolution, laser usage, and scanning types.

Control Workbench

Parameter Control

Allows individual control and experimentation with camera and laser parameters.

Parameter Isolation

Highlights that changes in this workbench do not affect other settings.

Calibration Workbench

Camera Settings for Calibration

Details camera settings like brightness, contrast, and saturation for pattern detection.

Pattern and Laser Settings

Covers pattern configuration and laser alignment for accurate calibration.

Intrinsic and Extrinsic Calibration

Explains calculating focal lengths, optical center, lens distortion, and platform position.

Scanning Workbench

Scan Configuration and Options

Details scan types, laser usage, motor parameters, and image acquisition settings.

Image Segmentation and ROI

Explains image segmentation for noise reduction and ROI for focused scanning.

Saving the Point Cloud

Instructions on how to save the generated point cloud in .PLY format.

Meshlab Post-Processing Steps

Point Cloud Cleaning

Removes noise and unwanted points from scanned data.

Normal Vector Calculation

Computes normal vectors for surface reconstruction.

Poisson Reconstruction

Creates a 3D mesh surface from the point cloud.

Joining Clouds

Merges multiple scanned data sets into one model.

Smoothing the STL Model

Refines the reconstructed mesh by smoothing jagged faces.