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Holosentinel Sistem Inteligent pentru Comunități by Hey July

Holosentinel Sistem Inteligent pentru Comunități by Hey July is a highly esteemed winner of the very prestigious 2025 A' Design Award de Argint in Design în Tehnologia Informației Competition Category.


ArgintTehnologia Informației· 2025

Holosentinel Sistem Inteligent pentru Comunități

by Hey July

Client: Hey July

A' Design Award de Argint Winner in Tehnologia Informației Category

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The Design

About Holosentinel Sistem Inteligent pentru Comunități

Sistemul 3D hibrid combină claritatea de clasă aerospațială cu comenzi intuitive. Straturile 3D vizualizează structurile clădirilor și riscurile dinamice, în timp ce panourile 2D utilizează codificare termică pentru monitorizarea consumului energetic și a performanței dispozitivelor. Modelele comportamentale AI semnalează automat zonele cu risc ridicat, permițând localizarea incidentelor în cinci secunde. Algoritmii spațiali optimizează sistemele HVAC și iluminatul prin hărți termice 3D ale mulțimilor, reducând consumul energetic cu 30 la sută. Navigarea bazată pe gesturi asigură tranziții fluide între vizualizările macro și micro, realizând progrese remarcabile în cogniția interfeței și eficiența operațională.

The Recognition

About the A' Design Award de Argint

Holosentinel Sistem Inteligent pentru Comunități a câștigat A' Design Award de Argint, o recunoaștere extraordinar de prestigioasă acordată designurilor de top, superbe și impresionante. Câștigătorii Argintului sunt lucrări extraordinar de strălucite și extrem de creative, care ilustrează expertiza, talentul și perspicacitatea remarcabile ale designerilor lor. Se așteaptă ca Holosentinel Sistem Inteligent pentru Comunități să fie o lucrare minunată, de referință, remarcabil de profesionistă și profund inovatoare. Acest design câștigător al A' Design Award de Argint este o invenție foarte notabilă și admirată, care aduce beneficii și împinge limitele artei, științei, designului și tehnologiei. Holosentinel Sistem Inteligent pentru Comunități este o creație extrem de invidiată, care trezește dorințe, aduce sentimente pozitive și stârnește uimire și mirare.

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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