Augmented Reality to Supplement Work Instructions. Model-Based Enterprise Summit 2013 December 18-19, 2013, Gaithersburg, MD Rafael Radkowski

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Augmented Reality to Supplement Work Instructions Model-Based Enterprise Summit 2013 December 18-19, 2013, Gaithersburg, MD Rafael Radkowski

Augmented Reality to Supplement Work Instructions Augmented Reality AR for assembly User study example Key feature: object tracking AR for design

Augmented Reality Augmented Reality (AR) technology is a type of human-computer interaction that superimposes the natural visual perception of a human user with computer-generated information (i.e., 3D models, annotation, and text). According to Azuma, AR combines real and virtual, is interactive in real time, and registered in 3D Azuma, Ronald: A Survey of Augmented Reality. In: Presence: Teleoperators and Virtual Environment 6, pp 355-385. 1997

How does Augmented Reality work? Head Mounted Display Augmented Reality Software video + Video Image 3D Model Two integrated cameras Capture video stream of the environment Rendering Three major components: Display Tracking Rendering ARToolkit marker for tracking

Motivation Challenges: Long learning / re-learning process Lost assembly time Product callback due to assembly mistakes Per year, global automotive warranties are estimated as USD 40 billion, 3-5 % loss in sales. [...] due to lack of knowledge concerning techniques and processes [...] From Recall to Prevention SGS Consumer Information Bulletin, 2012 Opportunities: (reported in previous studies) Increased learning performance Up to 30% faster assembly Reduced number of assembly mistakes Combine assembly

AR Assembly Station - Concept Design Video camera A monitor provides assembly information A animated 3D model shows the assembly location and how the part becomes assembled. View on monitor Part to become assembled The setup of the AR assembly station

Information Presentation Three major functions: Indicate the next part to assemble Show the assembly location Explain the assembly operation Blue object: 3D models of tools are used to explain the assembly operation. Photorealistic 3D model of the part to assemble Red object: abstract 3D model indicates the next part Possible solutions for the presentation of assembly related information

Assembly User Study Goal: assessment of the efficiency of AR-based assembly instructions. Tablet computer: instructions are shown on the display Three setups are compared: Desktop instructions Mobile instructions Augmented Reality instructions A animated 3D model shows the assembly location and how the part becomes assembled.

Assembly User Study Green frame: indicates the part that need to be assembled next. Blue 3D model: shows the position of a part Parts table Mechanical structure Green frames: indicate which parts need to be picked. AR supports at three locations: Parts table Part bins Mechanical structure Part bins

Expected Data - Time and Errors Errors and assembly time are recorded and analyzed Avg Time to Assemble over Trials Avg Errors over Trials Time to Assemble (sec) Desktop AR Mobile 1 2 Trial Expected Results Average Errors per Trial Expected Results 1 2 Trial Desktop AR Mobile

Expected Data - Path User Movement Analysis Red triangle: mechanical assembly The path of the user during each trial is recorded Green circle: recorded user position Line: viewing direction Part bins Desktop position Data recorded during a desktop instruction trial

Tracking Augmented Reality relies on object tracking: Marker-based tracking Natural feature tracking 3D model tracking Artificial marker 3D model superimposes the artificial marker Natural marker 3D models superimpose the circuit board

Natural Feature Tracking Technology Input: photo of the object to track Find and store unambiguous points (feature) Identify these points in a video stream Red dot: feature, stored to identify the circuit board. White frame: indicates that the board is tracked Unambiguous points (left) are identified in a video stream (right) Photo of the object to track Everything can be a marker Multiple objects Real time Partner:

3D Model Tracking Technology (1/2) Tracking of rigid objects No planar surface No distinguishable features Combine gear switch Partner:

3D Model Tracking Technology (2/2) Depth video camera Matches 3D model with environment model Model to track Input: depth image of the environment and 3D model of the objects to track The matching algorithm matches both models The environment model Matched models Partner:

AR Testing Platform Tracking: Ascension Laserbird 2 HMD: Canon VH-2002 Power supply: 2,5 kw sinus wave inverter Video camera: two build-in cameras PC: 2x Pentium 4, 2,4GHz nvidia 6600GT CAN-signal processing: Tellert Sico 2b

AR Testing Platform Assessment of viewing conditions: Driver asses the car design when driving. Virtual parts cover the same part of the physical world than virtual parts Principle of the AR testing platform

Design Reviews Design review of a car design in an early development stage. physical foam model system. So all components are a in company internal PDM 1 - a designers are able to exchange their newest developments. In fi are superimposed on a van. physical foam model Virtual bumper and hood A virtual car front superimposes a physical car body made of foam. Figure3: Augmentation of diffe

Detailed Design Several companies already employ AR application on their factory floor. Blue lines: 3D model of a wire harness Red 3D-model: virtual tube system Physical engine Design Review application (Volkswagen, Germany) Virtual Design Review (Daimler, Germany) Physical body

Thank you! Questions? Contact: Rafael Radkowski, Ph.D. 2274 Howe Hall, Room 1620 Iowa State University Ames, IA, USA 50011 Email: rafael@iastate.edu Office: 515.294.5880 Mobile: 515.817.3034