Unleashing the Power of AI: Revolutionize Data-Processing with Deep Learning

Unleashing the Power of AI: Revolutionize Data-Processing with Deep Learning

Table of Contents

  1. Introduction
  2. Geoplus: A Leader in the AEC Industry
  3. The Power of Deep Learning
  4. Vision Lidar: The Most Comprehensive Point Cloud Software
  5. Processing Data from Different Lidar Scanners
  6. How Vision Lidar Works
  7. The Role of Neural Networks in Deep Learning
  8. Segmenting and Classifying Point Cloud Data
  9. Creating Trained Models for Customized Results
  10. Intelligent Selection Tools for Improved Workflow
  11. Applying Deep Learning to Imagery
  12. Vision Blurring for Privacy and Confidentiality
  13. Additional Powerful Features of Vision Lidar
  14. Integration with CAD Software
  15. Publishing and Sharing Data with Ease
  16. The Benefits of Using Geoplus's Deep Learning Technology
  17. Conclusion

Introduction

Welcome to this webinar hosted by Geoplus, where we will introduce You to our cutting-edge and revolutionary deep learning feature on our Vision Lidar software. In this webinar, we will explore how deep learning and neural networks can take your business to the next level and provide you with a competitive AdVantage in your field. Geoplus, with 33 years of experience in the AEC industry, is committed to being at the forefront of technology and enabling our clients to adopt the latest advancements.

Geoplus: A Leader in the AEC Industry

Geoplus has been a trusted partner in the AEC industry for over three decades. As industry experts and leaders, we have always been perched on the cutting edge of technology, enabling our clients to stay ahead of the competition. We have partnered with the biggest names in the CAD market, including Bentley, Autocad, and Briscad, to provide a seamless and smooth experience for our users. When you partner with Geoplus, you gain access to a team of industry experts who will be with you every step of the way.

The Power of Deep Learning

Deep learning, a Type of AI technology, has revolutionized various industries, including computer vision. With deep learning, computers can learn and improve their algorithms Based on the initial information provided. This allows them to perform complex tasks, such as pattern or object recognition, and automate repetitive tasks. In the Context of our Vision Lidar software, deep learning enables us to process point cloud data more efficiently and accurately, saving you time and improving productivity.

Vision Lidar: The Most Comprehensive Point Cloud Software

Vision Lidar is our powerful software designed for the point cloud market. It is the most comprehensive point cloud software available in the industry. With Vision Lidar, you can process data from all types of lidar scanners, whether mobile, terrestrial, or airborne, and from any manufacturer, such as Leica, Pharaoh, or Regal. Our software allows you to easily convert this data into point clouds that can be utilized in countless applications.

Processing Data from Different Lidar Scanners

One of the key strengths of Vision Lidar is its ability to process data from different lidar scanners. Whether you are using a mobile, terrestrial, or airborne scanner, Vision Lidar can handle it. Our software is compatible with various manufacturers, ensuring that you can utilize your preferred brand without any compatibility issues. This flexibility allows you to work seamlessly with the equipment you already have or explore new options based on your project requirements.

How Vision Lidar Works

Vision Lidar follows a streamlined workflow to process your point cloud data efficiently. The user initially imports a portion of their data into Vision Lidar and uses a process called segmentation to group points. They then Create classes to assign to these groups. The user-processed point cloud becomes a trained model, which Vision Lidar analyzes. It automatically continues the process of segmenting and classifying the rest of the user's point cloud data, saving them valuable time. This automation can be performed overnight or in the background, freeing the user from repetitive tasks.

The Role of Neural Networks in Deep Learning

Neural networks play a crucial role in deep learning. They take the information provided by the user and Continue to learn and refine their algorithms based on that information. A neural network remembers the initial lessons provided and improves the rate at which it can process information. In the context of Vision Lidar, neural networks enable the software to analyze and interpret lidar data more effectively, providing more accurate results and enhancing the user's overall experience.

Segmenting and Classifying Point Cloud Data

Segmenting and classifying point cloud data is a key step in working with neural networks. Vision Lidar allows you to isolate and classify specific objects in your point cloud data, such as cars, trees, or pools. By segmenting and classifying these objects, you create a trained model specific to your data and situation. This personalized approach ensures that you get accurate results tailored to your needs. With Vision Lidar, you have the flexibility to define your own classes and customize your trained model to suit your unique requirements.

Creating Trained Models for Customized Results

One of the strengths of Vision Lidar is the ability to create trained models for customizing your results. Since every customer in our market has their own scanner and workflow, their input data will look different. Using a generic trained model may not give you the desired results. With Vision Lidar, you can create trained models specific to your data, ensuring that you get accurate and customized results. These trained models become more precise as you use them, refining the algorithms and improving the software's ability to interpret lidar data.

Intelligent Selection Tools for Improved Workflow

Vision Lidar includes intelligent selection tools that enhance your workflow and productivity. These tools allow you to segment different groups of points in your point cloud data quickly. By using these tools, you can classify points faster and improve the efficiency of your data processing. Our software is compatible with LAS 1.4, giving you control over the naming of your classes. You can rename classes, Apply colors, and Visualize the classes in your model however you like. Additionally, Vision Lidar offers preset naming conventions and color differentiation options to further enhance your classification workflow.

Applying Deep Learning to Imagery

Deep learning has fascinating applications in the realm of imagery. Just like Facebook's algorithms can recognize faces and tag individuals in photos, Vision Lidar uses deep learning to process imagery data. One application of this technology is our Vision Blurring software, which automatically blurs out faces and license plates to comply with privacy and confidentiality regulations. Whether you are working with standard or spherical images, Vision Blurring utilizes a trained model to accurately locate and blur out the desired elements. This saves time, ensures compliance, and enhances data confidentiality.

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Additional Powerful Features of Vision Lidar

Apart from the deep learning capabilities, Vision Lidar offers a wide range of powerful features to help you work with your data more efficiently. For example, you can use feature codes directly within Vision Lidar to streamline your workflow when working with CAD software. This ensures that the necessary parameters, such as color and block information, are already present in your CAD files. Our software also includes vectorization tools that allow you to vectorize wires, count and measure poles, detect interference zones, and Trace roads and curbs automatically. These features significantly reduce manual effort, improve accuracy, and enhance your overall productivity.

Integration with CAD Software

Vision Lidar seamlessly integrates with popular CAD software systems such as Autocad, Briscad, and Microstation. This integration allows you to easily exchange data between Vision Lidar and your preferred CAD platform. By vectorizing your data within Vision Lidar, your CAD files are automatically updated with the most Current information. This efficient integration saves time, eliminates errors, and optimizes your workflow. You can draft CAD work directly in Vision Lidar, further streamlining your design process.

Publishing and Sharing Data with Ease

Vision Lidar includes a publishing platform that enables you to distribute your data easily over the web. This platform is secure and compatible with OpenID Connect, ensuring data confidentiality and accessibility. Sharing your data with clients or colleagues outside of your organization is simple and safe. They can access the data, take measurements, and even embed OBJ files. If you have vectorized your data, these vectors will also be readily available. The publishing platform is a convenient way to collaborate and share information with stakeholders.

The Benefits of Using Geoplus's Deep Learning Technology

Partnering with Geoplus and utilizing our deep learning technology provides your business with numerous benefits. By harnessing the power of Vision Lidar, you can reduce errors in your data, integrate and synchronize your data with popular CAD systems, and potentially replace multiple software tools with a single, seamless solution. The speed, efficiency, and productivity enhancements offered by our deep learning technology give your business a competitive edge in the industry, saving you time and money. Geoplus's outstanding technical support ensures that you have the assistance you need to maximize the potential of deep learning for your business and clients.

Conclusion

In conclusion, Geoplus's Vision Lidar software, empowered by deep learning and neural networks, revolutionizes the way point clouds are processed. The combination of our industry-leading point cloud processing capabilities and the advancements in deep learning technology accelerates your workflow, improves accuracy, and enhances productivity. Geoplus is committed to providing outstanding technical support and ensuring that you stay at the forefront of the AEC industry. Do not miss out on the opportunity to leverage the power of deep learning to gain a competitive advantage in your field. Act now and partner with Geoplus to unlock the full potential of Vision Lidar and deep learning for your business.

Highlights

  • Geoplus's Vision Lidar software enables efficient processing of point cloud data using deep learning and neural networks.
  • Vision Lidar is compatible with various lidar scanners and manufacturers, providing flexibility for different project requirements.
  • The software automates the segmentation and classification of point cloud data, saving time and improving productivity.
  • User-created trained models ensure accurate and customized results for specific data and situations.
  • Vision Lidar offers intelligent selection tools, preset naming conventions, and color differentiation options for streamlined classification workflow.
  • Deep learning technology is applied to imagery processing, such as blurring faces and license plates for privacy and confidentiality compliance.
  • Additional powerful features include CAD integration, vectorization tools, and a publishing platform for easy data sharing.
  • Geoplus's deep learning technology provides numerous benefits, including reduced errors, improved workflow efficiency, and cost savings.
  • Geoplus offers outstanding technical support to assist clients in maximizing the potential of deep learning technology.

FAQ

Q: Is Vision Lidar compatible with different lidar scanner manufacturers? A: Yes, Vision Lidar is designed to process data from various lidar scanners, including those from manufacturers such as Leica, Pharaoh, and Regal.

Q: Can I create my own classes and trained models in Vision Lidar? A: Absolutely! Vision Lidar allows you to define your own classes and tailor your trained models to your specific data and workflow.

Q: How does deep learning improve the processing of point cloud data? A: Deep learning algorithms in Vision Lidar enable faster and more accurate segmentation and classification of point cloud data, saving time and improving productivity.

Q: Can Vision Lidar be integrated with popular CAD software systems? A: Yes, Vision Lidar seamlessly integrates with CAD software systems such as Autocad, Briscad, and Microstation, making data exchange and synchronization effortless.

Q: Is technical support available for Vision Lidar users? A: Geoplus provides outstanding technical support to assist users in maximizing the potential of deep learning technology and addressing any queries or concerns they may have.

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