Designing A Robust Industrial Augmented Reality SolutionAuthors: Jay Gorajia, Nir Sagi, Eran Nadel, Shai Newman
Company: Siemens Industry Software and Compedia
Date Published: 9/22/2019 Conference: SMTA International
One of the key challenges to a scalable, robust AR solution is an accurate and reliable visual experience which requires accurate positioning/tracking and visual processing. Tracking is how the augmented reality algorithm can recognize real-world objects in the camera feed, so it can accurately overlay virtual objects onto it. Most of the common commercial solutions that perform tracking today such as ARCore by Google and ARKit by Apple, utilize vision algorithms that inspect visual features in the camera feed to determine the exact position of the camera in space enabling, in turn, the algorithm to place the correlated 3D model. These solutions allow flexibility and simplicity but are sensitive to environmental factors such as light, line of sight, and require the existence of clear enough visual features in the physical environment, to achieve accuracy.
This paper describes the design and implementation of a robust industrial augmented reality assembly instruction and validation solution in which various choices of tracking methodology is reviewed to address challenges of environmental factors such as light, and the prerequisite of having fixed visual features in an environment. The resulting solution is being tested in an actual production line at the Siemens gas and power factory, gas-insulated switchgear manufacturing line in Berlin, Germany.
Augmented reality, manufacturing, industry 4.0, shop floor, production line, work instructions
Members download articles for free:
Not a member yet?
What else do you get when you join SMTA? Read about all of the benefits that go along with membership.
Notice: Sharing of articles is restricted to just your immediate work group. Downloaded papers should not be stored on an external network or shared on the internet.