{"type":"ScholarlyArticle","title":"OpenIAI-SNIO: A Systematic AR-Based Assembly Guidance System for Small-Scale, High-Density Industrial Components","authors":[{"name":"Yuntao Wang","slug":"yuntao-wang","given":"Yuntao","family":"Wang","affiliation":""},{"name":"Yu Cheng","slug":"yu-cheng","given":"Yu","family":"Cheng","affiliation":""},{"name":"Junhao Geng","slug":"junhao-geng","given":"Junhao","family":"Geng","affiliation":""}],"abstract":"This paper develops an AR-based assembly guidance system, OpenIAI-SNIO, for small-scale, high-density industrial components (SHIC), which addresses the challenge of existing AR technology's inability to achieve complete, accurate, and stable visual cognition and assembly operation guidance for SHIC. OpenIAI-SNIO combines artificial intelligence methods such as computer vision and deep learning with rule-based reasoning and augmented reality to achieve adaptive, whole process, and precise guidance of SHIC assembly in situations where visual information is insufficient. The application case shows that OpenIAI-SNIO can effectively improve the efficiency and quality of SHIC assembly, and reduce the workload of operators, realizing the systematic and practical application of AR technology in SHIC assembly.","doi":"10.24963/ijcai.2025/1275","url":"https://ijcai.org/proceedings/2025/1275","pdf":"https://ijcai.org/proceedings/2025/1275.pdf","markdown":"https://ijcai.org/proceedings/2025/1275.md","bibtex":"https://ijcai.org/proceedings/2025/bibtex/1275","volume":{"slug":"2025","title":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2025","url":"https://ijcai.org/proceedings/2025/","year":2025,"location":"Montreal, Canada","dates":"16-22 August 2025","editors":"James Kwok","isbn":"978-1-956792-06-5","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2025"},"section":"Demo Track","track":"Demo Track","number":1275,"pages":{"first":11119,"last":11122},"keywords":["Computer Vision: CV: Applications and Systems","Humans and AI: HAI: Applications","Humans and AI: HAI: Human-AI collaboration","Computer Vision: CV: Recognition (object detection, categorization)"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}