Stories with Tag 3D Scanning

• Raspberry Pi Lidar Scanner

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  Posted: 2025-04-19 18:53:32

  Verbose tl;dr

  PiLiDAR is a project demonstrating a low-cost, DIY LiDAR scanner built using a Raspberry Pi. It leverages a readily available RPLiDAR A1M8 sensor, Python code, and a simple mechanical setup involving a servo motor to rotate the LiDAR unit, creating 360-degree scans. The project provides complete instructions and software, allowing users to easily build their own LiDAR system for applications like robotics, mapping, and 3D scanning. The provided Python scripts handle data acquisition, processing, and visualization, outputting point cloud data that can be further analyzed or used with other software.

  This GitHub repository, titled "PiLiDAR," details a project focused on creating a 2D LiDAR scanner using a Raspberry Pi. The project leverages the affordability and versatility of the Raspberry Pi platform to construct a cost-effective LiDAR system suitable for various applications. The core of the system revolves around a RPLIDAR A1M8 360-degree laser scanner, known for its compact size and relatively low cost compared to other LiDAR units. The Raspberry Pi acts as the central processing unit, handling data acquisition from the LiDAR sensor, processing that data, and subsequently visualizing it.

  The provided documentation outlines the necessary hardware components beyond the Raspberry Pi and the RPLIDAR, such as a suitable power supply to drive both devices, and the physical mounting mechanisms required to securely affix the LiDAR unit. The software aspect of the project involves utilizing the RPLIDAR's SDK (Software Development Kit), which provides the necessary libraries and functions for communicating with and controlling the LiDAR sensor. Detailed instructions for installing the SDK on the Raspberry Pi's operating system (Raspbian, specifically) are included, ensuring users can correctly configure their system for data acquisition. Furthermore, the repository likely provides code examples and scripts demonstrating how to capture the raw LiDAR data, which typically consists of distance measurements at various angles.

  This captured data can then be further processed and visualized using various methods, potentially including creating 2D point cloud representations of the scanned environment. The visualization process allows users to interpret the LiDAR data and see a representation of the surrounding objects and their distances from the scanner. While the primary focus is on 2D scanning, the project's inherent flexibility implies potential expandability or adaptation for more advanced applications. The open-source nature of the project encourages community contribution and further development, potentially leading to enhancements in data processing, visualization techniques, and even integration with other robotic or automation systems. The project aims to provide an accessible and affordable entry point into the world of LiDAR technology, empowering users to explore its capabilities and develop their own applications based on this foundational framework.

  • Raspberry Pi
  • LiDAR
  • Scanner
  • 3D Scanning
  • Robotics
  • Point Cloud
  • DIY
  • Hardware
  • Python
  • Sensor
  • SLAM
  • autonomous navigation
  • Laser Scanning

  Summary of Comments ( 158 )
  https://news.ycombinator.com/item?id=43738561

  Verbose tl;dr

  Hacker News users discussed the PiLiDAR project with a focus on its practicality and potential applications. Several commenters questioned the effective range and resolution of the lidar given the Raspberry Pi's processing power and the motor's speed, expressing skepticism about its usefulness for anything beyond very short-range scanning. Others were more optimistic, suggesting applications like indoor mapping, robotics projects, and 3D scanning of small objects. The cost-effectiveness of the project compared to dedicated lidar units was also a point of discussion, with some suggesting that readily available and more powerful lidar units might offer better value. A few users highlighted the educational value of the project, particularly for learning about lidar technology and interfacing hardware with the Raspberry Pi.

  The Hacker News post titled "Raspberry Pi Lidar Scanner" (linking to a GitHub project called PiLiDAR) has generated several comments, offering a variety of perspectives on the project.

  Several users discuss the practicality and applications of such a setup. One user highlights the potential limitations due to the Raspberry Pi's processing power, suggesting that a more powerful platform might be necessary for real-time, high-resolution scanning, especially with more advanced SLAM algorithms. They also express interest in the project's potential for robotics applications. Another user suggests the possibility of using it for indoor mapping and navigation, emphasizing the affordability of the setup. A different commenter points out the previous existence of similar projects using the Raspberry Pi and lidar, indicating this isn't an entirely novel concept.

  The discussion also touches upon the specific components used in the project. One comment mentions the RPLidar A1M8, a specific lidar model, and notes its limited range and resolution, suggesting alternative lidar units for improved performance depending on the desired application. This comment thread also delves into the cost-effectiveness of using the RPLidar A1 with a Raspberry Pi, considering other processing options. A separate comment chain discusses the intricacies of processing lidar data on resource-constrained devices like the Raspberry Pi, with suggestions for optimizing code and algorithms.

  Some comments focus on the software aspects. One user inquires about the specific SLAM algorithm being used and its suitability for the Raspberry Pi's hardware. Another user expresses interest in the project's potential for creating 3D models of environments. There's also mention of the project's use of Python and its libraries, with some users expressing appreciation for the language choice.

  A few comments touch upon the safety aspects of using lidar, particularly regarding eye safety and the power of the laser used.

  In summary, the comments section explores various facets of the project, including its technical feasibility, potential applications, component choices, software implementation, and safety considerations. The discussion reveals both enthusiasm for the project's potential and a pragmatic awareness of its limitations.

• OpenVertebrate Presents a Database of 13,000 3D Scans of Specimens

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  Posted: 2025-04-05 02:15:35

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  OpenVertebrate has launched a free, accessible database containing over 13,000 3D scans of vertebrate specimens, including skeletons and soft tissue. Sourced from museums and research institutions worldwide, these scans allow researchers, educators, and the public to explore vertebrate anatomy and evolution in detail. The project aims to democratize access to these resources, enabling new discoveries and educational opportunities without requiring physical access to the specimens themselves. Users can download, 3D print, or view the models online using a dedicated viewer.

  The digital landscape of vertebrate morphology has undergone a significant expansion with the unveiling of OpenVertebrate, a monumental online repository containing over 13,000 meticulously crafted 3D scans of vertebrate specimens. This freely accessible database, highlighted in a recent Open Culture article, represents a monumental leap forward for researchers, educators, and anyone with an interest in the intricate world of vertebrate anatomy. Sourced from prestigious institutions like the University of Michigan Museum of Zoology, the University of Washington Burke Museum, and Harvard University’s Museum of Comparative Zoology, the collection boasts an impressive breadth, encompassing skeletal structures, preserved specimens, and even individual bones representing a wide spectrum of vertebrate classes, from fish and amphibians to reptiles, birds, and mammals.

  OpenVertebrate leverages cutting-edge photogrammetry techniques, a process involving the synthesis of multiple photographs taken from various angles to construct detailed three-dimensional models. This methodology allows for the creation of remarkably accurate and interactive digital representations of the physical specimens, offering a level of access previously unattainable. Users can explore these intricate models online, rotating and zooming to examine specific features with unprecedented clarity. The project is particularly noteworthy for its emphasis on accessibility and open access principles. The scans themselves, along with the metadata describing each specimen, are freely available for download under a Creative Commons Attribution license, fostering a collaborative environment where researchers can readily share and utilize this valuable data in their own studies.

  The implications of OpenVertebrate are far-reaching. For researchers, this readily accessible collection facilitates comparative anatomical studies, enabling in-depth analysis of evolutionary relationships and morphological variations across different vertebrate groups. Educators can utilize the 3D models as engaging teaching tools, bringing the intricacies of vertebrate anatomy to life in the classroom and enriching the learning experience for students. Moreover, the open access nature of the database democratizes access to these invaluable scientific resources, placing them within reach of a global audience, including those who may not have traditional access to museum collections. OpenVertebrate stands as a testament to the potential of digital technologies to revolutionize scientific research and education, paving the way for a deeper understanding and appreciation of the remarkable diversity of vertebrate life on Earth.

  • 3D Scanning
  • 3D Models
  • Vertebrates
  • Open Data
  • Database
  • Zoology
  • Biology
  • Paleontology
  • anatomy
  • scientific research
  • open access
  • Digital Collections
  • OpenVertebrate
  • Specimens

  Summary of Comments ( 12 )
  https://news.ycombinator.com/item?id=43589989

  Verbose tl;dr

  HN commenters generally expressed enthusiasm for the OpenVertebrate project, viewing it as a valuable resource for research, education, and art. Some highlighted the potential for 3D printing and its implications for paleontology and museum studies, allowing access to specimens without handling fragile originals. Others discussed the technical aspects, inquiring about file formats and the scanning process. A few expressed concerns about the long-term sustainability of such projects and the need for consistent funding and metadata standards. Several pointed out the utility for comparative anatomy and evolutionary biology studies. Finally, some users shared links to related projects and resources involving 3D scanning of biological specimens.

  The Hacker News post titled "OpenVertebrate Presents a Database of 13,000 3D Scans of Specimens" has generated several comments discussing the significance and potential applications of the database.

  Several commenters express enthusiasm for the resource. One highlights the potential for 3D printing, envisioning the possibility of printing and assembling a complete skeleton, while acknowledging potential licensing issues. Another user points out the educational value, particularly for those in remote areas or without access to physical specimens. The ability to manipulate and examine the models in 3D is seen as a significant advantage over traditional 2D images.

  Some comments focus on the technical aspects. One user questions the accessibility of the data for those with limited internet access, given the large file sizes. Another inquires about the scanning methodology and file formats used. A commenter with experience in the field points out that the quality of 3D scans can vary significantly and suggests that the database would benefit from including metadata about scan quality. This same commenter expresses excitement about the potential to use the database for geometric morphometrics, a powerful technique for analyzing shape variation.

  There's a discussion about potential applications beyond education and research. One commenter suggests uses in art and design, while another envisions applications in paleontology and comparative anatomy. The possibility of using the models for virtual and augmented reality experiences is also mentioned.

  Finally, a few comments raise important considerations about the ethical implications of digitizing natural history collections, including issues of cultural heritage and repatriation. One commenter raises the point that many of these specimens were likely collected during periods of colonialism and emphasizes the importance of acknowledging the historical context.

  Overall, the comments reflect a positive reception to the OpenVertebrate database, with commenters recognizing its potential to revolutionize fields like education, research, and even art and design. However, the discussion also highlights crucial considerations regarding data accessibility, quality, and the ethical implications of digitizing natural history collections.