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Augmented Reality Systems Applied to Poultry Grading and Inspection

Augmented Reality Systems Applied to Poultry Grading and Inspection. Simeon Harbert Georgia Tech Research Institute, Food Processing Technology Division Parth Bhawalkar Blair MacIntyre Georgia Institute of Technology, College of Computing.

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Augmented Reality Systems Applied to Poultry Grading and Inspection

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  1. Augmented Reality Systems Applied to Poultry Grading and Inspection Simeon Harbert Georgia Tech Research Institute, Food Processing Technology Division Parth Bhawalkar Blair MacIntyre Georgia Institute of Technology, College of Computing

  2. Situation: Introduction of Automated Inspection Systems • Currently: • Product flows along shackle line • Inspectors, workers communicate directly • One inspector per trimmer • Leverage gesture, speech • Develop efficient shorthand • Inspection technologies being introduced • Trim tasks not yet automated

  3. New Problem: Communication between Systems and Trimmers • Automated systems need to communicate information about product on lines • No direct human communication • How to display information to trimmer? • How to associate tasks with specific birds?

  4. Investigated Various Possibilities • Solution must • Keep workers hands free • Not require technology near line • Looked at wearable auditory and visual displays • Problem: relating tasks to specific bird

  5. Solution: Augmented Reality • Directly merge graphical display with worker’s view of world • Task info spatially aligned with relevant product

  6. Example Symbolic Instructions

  7. Monocular, transparent display Very little visual obstruction See-through Head-Worn Display

  8. Laser Scanner

  9. Comparison • Wearable Heads-up Display • No active technology installed in factory • Potential for wide area use • Display anywhere, esp. on product • Fragile, potentially encumbering • Laser Scanner • Hardened, permanent install done once • Difficult to display on product • Nothing carried by worker

  10. Experimental Evaluation Planned for Coming Year • Compare human, HMD, Laser • Use synthetic, similarly demanding “task”

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