Holosentinel Eto Awujọ Oloye by Hey July is a highly esteemed winner of the very prestigious 2025 Àmì-ẹ̀yẹ Fàdákà A' Design Award in Àpẹẹrẹ Ìmọ̀-ẹ̀rọ Alàyè Competition Category.
FàdákàÌmọ̀-ẹ̀rọ Alàyè· 2025
Holosentinel Eto Awujọ Oloye
by Hey July
Client: Hey July
Àmì-ẹ̀yẹ Fàdákà A' Design Award Winner in Ìmọ̀-ẹ̀rọ Alàyè Category
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The Design
About Holosentinel Eto Awujọ Oloye
Eto Hybrid 3D yii darapọ mọ imọran ti o ga julọ ti aerospace pẹlu awọn iṣakoso ti o rọrun lati lo. Awọn ipele 3D ṣe afihan eto ile ati awọn ewu ti o n yipada, nigba ti awọn panẹẹli 2D nlo ikoodu ooru lati ṣe abojuto lilo agbara ati iṣẹ ṣiṣe awọn ẹrọ. Awọn awoṣe ihuwasi AI laifọwọyi samisi awọn agbegbe ewu giga, ti o mu ki wiwa ipo iṣẹlẹ laarin iṣẹju aaya marun ṣee ṣe. Awọn algorithm aaye mu HVAC ati imọlẹ pọ si nipasẹ awọn maapu ooru ọpọ eniyan 3D, ti o n dinku lilo agbara ni ogorun mẹtala. Lilọ kiri ti o da lori afọwọkọ rii daju awọn iyipada ailopin laarin awọn iwo nla ati kekere, ti o ṣaṣeyọri awọn ilọsiwaju nla ninu oye interface ati iṣẹ ṣiṣe iṣẹ.
The Recognition
About the Àmì-ẹ̀yẹ Fàdákà A' Design Award
Holosentinel Eto Awujọ Oloye jẹ́ olùborí Àmì-ẹ̀yẹ Fàdákà A' Design Award, ìdánimọ̀ onípọ̀nlé lọ́nà àrà ọ̀tọ̀ tí a fún àwọn àwòṣe ìpele gíga jùlọ tó dára tó sì ń kan ọkàn. Àwọn olùborí Fàdákà jẹ́ àwọn iṣẹ́ tó ń tàn yòò gidigidi tó sì ní ìṣẹ̀dá púpọ̀ tí wọ́n ń ṣàfihàn ìmọ̀ ìjìnlẹ̀, ẹ̀bùn àti ìmọ̀ràn àwọn olùṣàwòṣe wọn. A retí pé Holosentinel Eto Awujọ Oloye yóò jẹ́ iṣẹ́ àgbàyanu, àpẹẹrẹ rere, ti ọ̀jáfáfá lọ́nà tó ṣe pàtàkì tó sì ní ìmúṣẹ̀dá tuntun jinlẹ̀. Àwòṣe tó borí Àmì-ẹ̀yẹ Fàdákà A' Design Award yìí jẹ́ ohun ìmúṣẹ̀dá tó hàn gbangba gidigidi tí a mọrírì tó ń ṣe anfàní tó sì ń tì ààlà iṣẹ́ ọnà, sáyẹ́ǹsì, àwòṣe àti ìmọ̀-ẹ̀rọ síwájú. Holosentinel Eto Awujọ Oloye jẹ́ ẹ̀dá tí ọ̀pọ̀lọpọ̀ ń ṣe ìlara, tó ń jí ìfẹ́ inú, tó ń mú ìmọ̀lára rere wá tó sì ń jí ìyàlẹ́nu àti ìyanu.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- Featuring a hybrid 2D and 3D interface with aerospace-grade clarity, the system offers an intuitive spatial view. The 3D layer highlights structures and risks like stalking alerts, while 2D panels show real-time energy and device status via thermal coding. Users can tap floor plans for details or swipe to shift views. AI-driven models detect high-risk zones, enabling five-second security responses. Spatial optimization cuts energy use by 30 percent, enhancing both visual cognition and operational intelligence.
- Dimensions & Packaging
- The System Is Compatible With Mainstream 16:9 Screen Ratios (e.g., 1920 x 1080, 3840 x 2160), Ensuring High-Clarity 3D Visualization Across Various Devices While Maintaining Spatial Accuracy.
- Tags
- Digital Twin Community Safety, 3D Visualized Security Intelligence, Vulnerable Group Spatial Protection, Millimeter-Accurate Energy-Saving Modeling, Cross-Dimensional Cognitive Interface
- Production Technology
- Utilizing precise one-to-one 3D modeling with sensor positioning accuracy of less than 2 cm, the system integrates real-time IoT data, including surveillance feeds and access logs, into its digital twin. Light and shadow physics enhance realism, while aerospace-grade mission color coding improves clarity: blue for security alerts, orange for energy issues, and a dark background for hierarchy. This design enables 0.3-second critical data recognition, ensuring seamless spatial-to-operational response.
- Design Challenge
- Internally, the Challenge Was to Develop a Fully Functional 3D Engine, AI Models, and UX Design Within Just Three Months. A Modular Architecture Was Implemented to Decouple the Real-Time 3D Framework From Backend Algorithms, Enabling Parallel Workflows That Reduced Development Time by 40 Percent. Externally, the Biggest Obstacle Was IoT Fragmentation Across Seven Different Protocols. To Address This, a Lightweight Middleware Was Created to Standardize Proprietary Protocols Into a Unified Data Stream. Automated Compatibility Testing Further Ensured Interoperability Among Six Major Security Brands, Effectively Bridging Ecosystem Silos.
- Research
- Type of Research: Applied Design Research.
Research Objectives: Validate digital twin technology for enhancing community safety and energy optimization.
Methodology: Mixed-methods integrating IoT sensor analytics with user behavior observation.
Data Collection/Tools: IoT sensor data and digital twin modeling for spatial data fusion.
Participants: 385 residents and 18 managers from a Beijing pilot community.
Results: Achieved 42% faster emergency responses and 27% reduced energy use.
Insights/Impacts: Predictive risk management redefines smart city governance, bolstering property tech, societal safety, and energy-efficient design. - Inspiration
- Leveraging Cutting-Edge Digital Twin Technology, This System Reconstructs Communities With Millimeter-Accurate 3D Modeling. Its Virtual Engine Analyzes Real-Time Data From Surveillance Cameras and Access Controls, Identifying Spatiotemporal Anomalies Such as Loitering Near Children's Areas for Proactive Crime Prediction. When Prolonged Inactivity Is Detected in Elderly Residents' Homes, the System Initiates Automated 3D Location Verification. By Transforming Fragmented Data Into Actionable Spatial Intelligence, It Evolves From a Passive Monitoring Tool Into a Proactive Guardian of Community Safety.
- Project Duration
- Development Began in September 2022, Followed by Pilot Testing in a Residential Community in Beijing. The System Was Successfully Deployed in January 2023.
- Operation Flow
- The System Supports Both Mouse and Tablet Touch Controls, Allowing Users to Navigate 3D Spatial Models, Access Operational Features, and Conduct Precise Searches Seamlessly.
- Team Members
- Leader: Gao Chao
Technical Consultant: Bao Xiaopan
Designer: Zhang Shiqi
3D Modeler: Fan Shengming
Development Engineer: Wang Qi - Image Credits
- Image #1 : Creator Gao Chao, Holosentinel, 2024.
Image #2 : Creator Gao Chao, Holosentinel, 2024.
Image #3 : Creator Gao Chao, Holosentinel, 2024.
Image #4 : Creator Gao Chao, Holosentinel, 2024.
Image #5 : Creator Gao Chao, Holosentinel, 2024.
Video Credits: Produced by Gao Chao, 2024.
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