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Greenflow Lighthouse

Greenflow Lighthouse

Greenflow Lighthouse

Where Light, Music, and AI Converge. ··AI

Where Light, Music, and AI Converge. ··AI

Where Light, Music, and AI Converge. ··AI

Description

Description

Project Greenflow Lighthouse is an AI-driven interactive garden luminaire that fuses real-time generative music, dynamic lighting, and millimeter-wave radar sensing to transform public spaces into engaging, immersive experiences.

Greenflow Lighthouse是一款融合AI实时音乐生成、动态灯光与毫米波雷达感应的交互式花园照明设备,旨在为公共空间带来身临其境的沉浸式体验。


Greenflow Lighthouse pushes the frontier of smart public utilities. Housed in a sleek, all-aluminum chassis, this cutting-edge luminaire integrates millimeter-wave radar and edge computing to sense environmental and user presence in real time, generating AI-powered ambient music on the fly. By blending advanced engineering with an elegant form factor, Lighthouse enriches urban venues such as the Shenzhen Civic Center, offering a next-level fusion of light, sound, and aesthetic appeal. Recognized academically via a published research paper, it stands as a testament to how design and technology can converge to elevate everyday public experiences.

Greenflow Lighthouse在智能公共设施领域实现重大突破。它采用一体化铝合金外壳,将毫米波雷达与边缘计算技术相结合,可根据环境与人流情况实时生成AI音乐,并配合灯光呈现沉浸氛围。该设备已在深圳市民中心等城市场景投入使用,融合设计美感与技术实力,让日常公共空间焕发新生。通过在学术期刊发表的研究论文,Lighthouse不仅具备前沿实践价值,更为AI多模态交互的学术研究作出重要贡献。

Project Greenflow Lighthouse is an AI-driven interactive garden luminaire that fuses real-time generative music, dynamic lighting, and millimeter-wave radar sensing to transform public spaces into engaging, immersive experiences.

Greenflow Lighthouse是一款融合AI实时音乐生成、动态灯光与毫米波雷达感应的交互式花园照明设备,旨在为公共空间带来身临其境的沉浸式体验。


Greenflow Lighthouse pushes the frontier of smart public utilities. Housed in a sleek, all-aluminum chassis, this cutting-edge luminaire integrates millimeter-wave radar and edge computing to sense environmental and user presence in real time, generating AI-powered ambient music on the fly. By blending advanced engineering with an elegant form factor, Lighthouse enriches urban venues such as the Shenzhen Civic Center, offering a next-level fusion of light, sound, and aesthetic appeal. Recognized academically via a published research paper, it stands as a testament to how design and technology can converge to elevate everyday public experiences.

Greenflow Lighthouse在智能公共设施领域实现重大突破。它采用一体化铝合金外壳,将毫米波雷达与边缘计算技术相结合,可根据环境与人流情况实时生成AI音乐,并配合灯光呈现沉浸氛围。该设备已在深圳市民中心等城市场景投入使用,融合设计美感与技术实力,让日常公共空间焕发新生。通过在学术期刊发表的研究论文,Lighthouse不仅具备前沿实践价值,更为AI多模态交互的学术研究作出重要贡献。

Keywords

Keywords

Industrial Design 工业设计

Industrial Design 工业设计

AI-Generated Music AI音乐生成

AI-Generated Music AI音乐生成

User-Centric Interaction 以用户为中心的交互

User-Centric Interaction 以用户为中心的交互

Edge Computing 边缘计算

Public Space Innovation 公共空间创新

Year

Year

2024

2024

Technical Details

Technical Details

Positioning & Background
Project Greenflow Lighthouse addresses the need for more dynamic, engaging public utilities by merging cutting-edge design with advanced sensing and AI capabilities. Existing outdoor lights often lack meaningful interaction; Lighthouse redefines urban experiences by seamlessly integrating real-time radar detection, generative music, and vibrant RGBWW illumination.

Solution & Methodology
Drawing on user-centric design, computer science methods, and iterative prototyping, our team implemented an embedded system architecture that leverages millimeter-wave radar and cloud-based AI music generation. User movements and environmental data are processed via edge computing, enabling each Lighthouse to adapt its sound and lighting patterns instantly. Our approach integrates user research, pilot testing, and data-driven refinements to ensure both technical reliability and aesthetic sophistication.

Outcome & Deliverables
The resulting product is a sleek, aluminum-alloy pillar that harmonizes function and form. Beyond illumination, it generates immersive, adaptive soundscapes and mesmerizing light patterns. This multi-sensory experience not only elevates the ambiance of public gardens or city plazas but also demonstrates the potential for large-scale AI-driven installations to enhance community engagement. In collaboration with academic partners, a formal research paper has been published, underscoring Lighthouse’s novel contributions to multimodal interaction design.

定位与背景
Project Greenflow Lighthouse 旨在突破传统公共照明的局限,将前沿设计与传感技术、AI能力完美融合。当前市场上的户外照明设施多缺乏互动性,Lighthouse 借助实时毫米波雷达检测、AI音乐生成与炫彩灯光,将城市公共空间演变为交互式体验场。

解决方案与方法论
通过以用户为中心的设计思维、计算机科学算法研发及多轮迭代原型测试,我们构建了一个嵌入式系统:利用毫米波雷达和云端AI音乐生成服务,实时获取并分析环境及用户行为数据,实现灯光与音效的智能自适应。团队在项目过程中开展了用户访谈、功能测试及数据分析,不断优化技术稳定性与视觉/听觉表现。

最终呈现与成果
Lighthouse 采用一体式铝合金外壳,实现了兼具功能性与艺术感的工业设计。它不仅提供照明,更在用户接近时播放即时生成的音乐,并呈现沉浸式的动态光影效果。此多感官融合的体验为公共场所(如屋顶花园、城市广场)注入活力,也从学术角度证明了 AI 在大规模公共交互中的潜力。项目已成功发表在相关学术论文中,为多模态交互设计领域增添了新的研究案例与思考方向。

Positioning & Background
Project Greenflow Lighthouse addresses the need for more dynamic, engaging public utilities by merging cutting-edge design with advanced sensing and AI capabilities. Existing outdoor lights often lack meaningful interaction; Lighthouse redefines urban experiences by seamlessly integrating real-time radar detection, generative music, and vibrant RGBWW illumination.

Solution & Methodology
Drawing on user-centric design, computer science methods, and iterative prototyping, our team implemented an embedded system architecture that leverages millimeter-wave radar and cloud-based AI music generation. User movements and environmental data are processed via edge computing, enabling each Lighthouse to adapt its sound and lighting patterns instantly. Our approach integrates user research, pilot testing, and data-driven refinements to ensure both technical reliability and aesthetic sophistication.

Outcome & Deliverables
The resulting product is a sleek, aluminum-alloy pillar that harmonizes function and form. Beyond illumination, it generates immersive, adaptive soundscapes and mesmerizing light patterns. This multi-sensory experience not only elevates the ambiance of public gardens or city plazas but also demonstrates the potential for large-scale AI-driven installations to enhance community engagement. In collaboration with academic partners, a formal research paper has been published, underscoring Lighthouse’s novel contributions to multimodal interaction design.

定位与背景
Project Greenflow Lighthouse 旨在突破传统公共照明的局限,将前沿设计与传感技术、AI能力完美融合。当前市场上的户外照明设施多缺乏互动性,Lighthouse 借助实时毫米波雷达检测、AI音乐生成与炫彩灯光,将城市公共空间演变为交互式体验场。

解决方案与方法论
通过以用户为中心的设计思维、计算机科学算法研发及多轮迭代原型测试,我们构建了一个嵌入式系统:利用毫米波雷达和云端AI音乐生成服务,实时获取并分析环境及用户行为数据,实现灯光与音效的智能自适应。团队在项目过程中开展了用户访谈、功能测试及数据分析,不断优化技术稳定性与视觉/听觉表现。

最终呈现与成果
Lighthouse 采用一体式铝合金外壳,实现了兼具功能性与艺术感的工业设计。它不仅提供照明,更在用户接近时播放即时生成的音乐,并呈现沉浸式的动态光影效果。此多感官融合的体验为公共场所(如屋顶花园、城市广场)注入活力,也从学术角度证明了 AI 在大规模公共交互中的潜力。项目已成功发表在相关学术论文中,为多模态交互设计领域增添了新的研究案例与思考方向。

Highlights

Highlights

  • Innovation
    Pioneers the fusion of radar sensing, generative music, and RGBWW lighting in a robust public installation.

  • Academic Rigor
    Accompanied by a peer-reviewed paper, exploring HCI theories and real-world usage data.

  • Technical Highlights
    Utilizes millimeter-wave radar, AI-based music algorithms, and edge computing for real-time, large-scale interaction.

  • Design Excellence
    One-piece aluminum chassis ensures durability and a contemporary aesthetic; modular components enable future expandability.

  • Impact & Application
    Deployed in urban public spacessuch as a civic center rooftop gardenoffering novel experiences that foster relaxation and social interaction.


AI RGBWW


使


AI


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  • Innovation
    Pioneers the fusion of radar sensing, generative music, and RGBWW lighting in a robust public installation.

  • Academic Rigor
    Accompanied by a peer-reviewed paper, exploring HCI theories and real-world usage data.

  • Technical Highlights
    Utilizes millimeter-wave radar, AI-based music algorithms, and edge computing for real-time, large-scale interaction.

  • Design Excellence
    One-piece aluminum chassis ensures durability and a contemporary aesthetic; modular components enable future expandability.

  • Impact & Application
    Deployed in urban public spaces—such as a civic center rooftop garden—offering novel experiences that foster relaxation and social interaction.

创新性
首创将雷达感应、AI音乐生成与 RGBWW 灯光相结合,打造稳定而灵活的公共交互体验。

学术支撑
已发表相关论文,探讨人机交互理论与实际使用数据的结合。

技术细节
采用毫米波雷达检测算法、边缘计算与云端 AI 音乐生成架构,多设备同步播放与实时光效联动。

设计策略
一体化铝合金结构兼具强度与现代美感;模块化硬件便于后续功能扩展。

影响与应用场景
已在城市公共空间部署(如屋顶花园),呈现独特的沉浸体验,有效提升市民休闲与社交氛围。

Credits

Creative Design/Algorithm

Yueze Zhang

Hardware/PCB

Tianrui Wang, Zheng Zeng, Yueze Zhang

Fabrication/Manufacturing

Ping Chen, Zekai Chen

Advisors

Prof. Stephen Chininis, Prof. Ameersing Luximon

Appendix

Read our paper presented at CHCHI 2023

Yueze Zhang, Zheng Zeng , Tianrui Wang , Zekai Chen, and Ping Chen . Reimagining Public Utilities through AI-Driv en User-Centric Multimodal Interaction: A Case Study on the Lighthouse System. In Proceedings of the Eleventh Internatio nal Symposium of Chinese CHI.(pp.81-96)


BibTeX
@inproceedings{inproceedings,
author = {Zhang, Yueze and Zeng, Zheng and Wang, Tianrui and Chen, Zekai and Chen, Ping},
year = {2024},
month = {02},
pages = {81-96},
title = {Reimagining Public Utilities through AI-Driven User-Centric Multimodal Interaction: A Case Study on the Lighthouse System},
doi = {10.1145/3629606.3629616}
}

Credits

Creative Design/Algorithm

Yueze Zhang

Hardware/PCB

Tianrui Wang, Zheng Zeng, Yueze Zhang

Fabrication/Manufacturing

Ping Chen, Zekai Chen

Advisors

Prof. Stephen Chininis, Prof. Ameersing Luximon

Appendix

Read our paper presented at CHCHI 2023

Yueze Zhang, Zheng Zeng , Tianrui Wang , Zekai Chen, and Ping Chen . Reimagining Public Utilities through AI-Driv en User-Centric Multimodal Interaction: A Case Study on the Lighthouse System. In Proceedings of the Eleventh Internatio nal Symposium of Chinese CHI.(pp.81-96)


BibTeX
@inproceedings{inproceedings,
author = {Zhang, Yueze and Zeng, Zheng and Wang, Tianrui and Chen, Zekai and Chen, Ping},
year = {2024},
month = {02},
pages = {81-96},
title = {Reimagining Public Utilities through AI-Driven User-Centric Multimodal Interaction: A Case Study on the Lighthouse System},
doi = {10.1145/3629606.3629616}
}