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Computer Vision 3D Flow and Function AI with LiDAR
Introduction
Introduction
Executive summary
Business challenges
Solution overview Partner overview Architecture overview Sizing and scaling Use case validation Conclusions References

Executive summary

Home > Workload Solutions > Computer Vision > White Papers > Computer Vision 3D Flow and Function AI with LiDAR > Executive summary

Executive summary

  • Computer Vision is a field of Artificial Intelligence (AI) that provides computers and systems with the ability to extract relevant information from digital images, videos, and other digital sensor inputs. It uses algorithms to process data streams from digital devices and extract the information that helps people understand and manage the environments they rely on. Although humans excel at visual tasks, with approximately 60% of the human brain involved in various aspects of visual perception, current AI vision technology can compete with and even surpass human capabilities for many tasks.

    Around the world, organizations are using AI enabled computer vision solutions from Dell Technologies to create safer and more efficient public and private spaces. Data scientists have developed various machine learning and deep neural network tools that can identify and label objects using data from different camera types such as optical, thermal, and infrared. Dell Technologies has combined these hardware and software advancements to create a wide range of AI solutions that are currently being used in industrial, commercial, residential, and public sector applications, providing significant value.

    We have recently been working with a new and emerging area of AI known as LiDAR-based 3D perception. LiDAR is an acronym of Light Detection and Ranging, a method for determining ranges by targeting an object or a surface with a laser and measuring the time for the reflected light to return to the receiver. Our testing was designed to understand how LiDAR 3D perception can help create a more complete understanding of how people and objects flow and function within public and private spaces. Our key partner in this research is Seoul Robotics, a leader in LiDAR 3D perception and analytics tools.

    For this project we choose to use our Dell Validated Design for Computer Vision platform an enterprise-grade engineered platform that has been leveraged for multiple validated designs and has had many successful deployments in the field. The design supports GPU virtualization and runs on Dell VxRail HCI (hyperconverged infrastructure) with Dell PowerEdge servers.

    We chose this platform for LiDAR testing to ensure that LiDAR workloads can run parallel with traditional camera stream analytics processing on a flexible engineered platform and validated the computing, networking, and storage requirements for typical use cases in the transportation industry.

    The first three chapters of our white paper are intended for a broad audience, including those with both business and technical interests. The entire paper is relevant to technical staff and managers who are currently working with computer vision technologies and those who are researching how this technology can improve situational awareness.