Summary of Logic-free Building Automation: Learning the Control Of Room Facilities with Wall Switches and Ceiling Camera, by Hideya Ochiai et al.
Logic-Free Building Automation: Learning the Control of Room Facilities with Wall Switches and Ceiling Camera
by Hideya Ochiai, Kohki Hashimoto, Takuya Sakamoto, Seiya Watanabe, Ryosuke Hara, Ryo Yagi, Yuji Aizono, Hiroshi Esaki
First submitted to arxiv on: 18 Sep 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC); Robotics (cs.RO)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a novel approach to building automation using deep learning (DL) to control room facilities without predefined logic. The authors leverage wall switches as supervised signals and a ceiling camera to monitor the environment, allowing the DL model to learn users’ preferred controls directly from scenes and switch states. This architecture, known as logic-free building automation (LFBA), outperforms reinforcement learning (RL) in real-world implementations. The authors test their system using various conditions and user activities, achieving 93%-98% control accuracy with VGG, outperforming other DL models such as Vision Transformer and ResNet. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps make buildings smarter by letting artificial intelligence learn how people like to control things. It uses cameras and sensors to figure out what people want, rather than using rules set by humans. The result is a more user-friendly and efficient way to control building facilities. The experiment shows that this method can get it right most of the time. |
Keywords
» Artificial intelligence » Deep learning » Reinforcement learning » Resnet » Supervised » Vision transformer
