Holosentinel Inkqubo Yoluntu Ehlakaniphile by Hey July

Holosentinel Inkqubo Yoluntu Ehlakaniphile by Hey July is a highly esteemed winner of the very prestigious 2025 Ibhaso Lesilivere le-A' Design Award in Uyilo loBuxhakaxhaka boLwazi Competition Category.

IsilivereUbuxhakaxhaka boLwazi· 2025

Holosentinel Inkqubo Yoluntu Ehlakaniphile

by Hey July

Client: Hey July

Ibhaso Lesilivere le-A' Design Award Winner in Ubuxhakaxhaka boLwazi Category

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The Design

About Holosentinel Inkqubo Yoluntu Ehlakaniphile

Inkqubo ye-3D exubeneyo idibanisa ukucaca komgangatho wendiza yesibhakabhaka nolawulo olulula. Iinguqulelo ze-3D zibonisa izakhiwo zezakhiwo kunye nomngcipheko oguqukayo, ngelixa amaphaneli e-2D esebenzisa ukunxulumana okusebenzisa ubushushu ukubeka iliso ekusetyenzisweni kwamandla nakwisebenzo sezixhobo. Iimodeli zokuziphatha ze-AI ziphawula ngokuzenzekelayo iindawo ezinomngcipheko omkhulu, zivumela ukufumanisa indawo yeziganeko kwimizuzwana emihlanu. Ii-algorithms zendawo zenza ngcono i-HVAC nokukhanyisa ngokusebenzisa iimephu zobushushu bezixuku ze-3D, zinciphisa ukusetyenziswa kwamandla ngamapesenti angama-30. Ukukhangela okusekwe kwizibonakaliso kuqinisekisa utshintsho olugudileyo phakathi kwembonakalo enkulu nencinci, kufezekisa uqhankqalazo ekuqondeni kojongano lomsebenzisi nakwisebenzo esisebenzayo.

The Recognition

About the Ibhaso Lesilivere le-A' Design Award

Holosentinel Inkqubo Yoluntu Ehlakaniphile ngumphumeleli weIbhaso Lesilivere le-A' Design Award, ukuqatshelwa okuhlonitshwayo ngokungaqhelekanga okunikwa imiyilo yomgangatho ophezulu, entle nechukumisayo. Abaphumeleleyo beSilivere ziimveliso ezikhazimlayo kakhulu nezidala kakhulu ezibonisa ubungcali obuphawulekayo, italente nobukrelekrele babayili bazo. Holosentinel Inkqubo Yoluntu Ehlakaniphile iyathenjwa ukuba ibe ngumsebenzi omhle womzekelo, onobungcali obuphawulekayo nezinto ezintsha ezinzulu. Lo myilo uphumeleleyo weIbhaso Lesilivere le-A' Design Award yimveliso ebonakalayo kakhulu, ethandwayo enceda kwaye inyusa imida yobugcisa, inzululwazi, uyilo kunye nobuchwephesha. Holosentinel Inkqubo Yoluntu Ehlakaniphile yimveliso enomona omkhulu kuyo evusa iinqwenelo, izisa iimvakalelo ezintle kwaye ivuselela ukumangaliswa nokumangala.

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.