Holosentinel Smart Community Systeem by Hey July

Holosentinel Smart Community Systeem by Hey July is a highly esteemed winner of the very prestigious 2025 A' Design Award in Zilver in Informatietechnologie Ontwerp Competition Category.

ZilverInformatietechnologie· 2025

Holosentinel Smart Community Systeem

by Hey July

Client: Hey July

A' Design Award in Zilver Winner in Informatietechnologie Category

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Verified Award Winner
Verify Award Status for #171198

View at A' Design Award Press Release Award Badge

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The Design

About Holosentinel Smart Community Systeem

Hybride 3D-systeem combineert helderheid van luchtvaartklasse met intuïtieve bediening. 3D-lagen visualiseren gebouwstructuren en dynamische risico's, terwijl 2D-panelen thermische codering gebruiken om energieverbruik en apparaatprestaties te monitoren. AI-gedragsmodellen markeren automatisch hoge-risicozones, waardoor incidentlokalisatie binnen vijf seconden mogelijk is. Ruimtelijke algoritmen optimaliseren HVAC en verlichting via 3D-drukte-heatmaps, waardoor het energieverbruik met 30 procent wordt verminderd. Gebaargestuurde navigatie zorgt voor naadloze overgangen tussen macro- en microweergaven, met doorbraken in interface-cognitie en operationele efficiëntie.

The Recognition

About the A' Design Award in Zilver

Holosentinel Smart Community Systeem is winnaar van de A' Design Award in Zilver, een buitengewoon prestigieuze erkenning die wordt toegekend aan topontwerpen die prachtig en indrukwekkend zijn. Winnaars in Zilver zijn enorm briljante en uiterst creatieve werken die de uitmuntende expertise, het talent en de scherpzinnigheid van hun ontwerpers illustreren. Holosentinel Smart Community Systeem wordt verwacht een prachtig paradepaardje te zijn dat opmerkelijk professioneel en diepgaand innovatief is. Dit ontwerp dat de A' Design Award in Zilver heeft gewonnen, is een hoogst opmerkelijke, bewonderde uitvinding die baat en de grenzen van kunst, wetenschap, ontwerp en technologie verlegt. Holosentinel Smart Community Systeem is een zeer benijde creatie die verlangens oproept, positieve gevoelens brengt en verbazing en verwondering doet ontvlammen.

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.