Holosentinel Smart Community System von Hey July

Das Design Holosentinel Smart Community System von Hey July ist ein hoch angesehener Gewinner des sehr prestigeträchtigen 2025 A' Design Award in Silber in der Wettbewerbskategorie Informationstechnologie-Design.

SilberInformationstechnologie· 2025

Holosentinel Smart Community System

von Hey July

Auftraggeber: Hey July

Gewinner des A' Design Award in Silber in der Kategorie Informationstechnologie

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Das Design

Über Holosentinel Smart Community System

Hybrides 3D-System kombiniert Klarheit in Luftfahrtqualität mit intuitiven Bedienelementen. 3D-Ebenen visualisieren Gebäudestrukturen und dynamische Risiken, während 2D-Panels thermische Codierung zur Überwachung des Energieverbrauchs und der Geräteleistung nutzen. KI-Verhaltensmodelle markieren automatisch Hochrisikozonen und ermöglichen eine Vorfallslokalisierung in fünf Sekunden. Räumliche Algorithmen optimieren HLK und Beleuchtung mittels 3D-Crowd-Heatmaps und reduzieren den Energieverbrauch um 30 Prozent. Gestenbasierte Navigation gewährleistet nahtlose Übergänge zwischen Makro- und Mikroansichten und erzielt Durchbrüche in der Interface-Kognition und operativen Effizienz.

Die Auszeichnung

Über den A' Design Award in Silber

Holosentinel Smart Community System ist Gewinner des A' Design Award in Silber, einer enorm prestigeträchtigen Anerkennung für erstklassige, großartige und beeindruckende Spitzendesigns. Silber-Gewinner sind ungemein brillante und äußerst kreative Werke, die die herausragende Expertise, das Talent und den Scharfsinn ihrer Designer veranschaulichen. Von Holosentinel Smart Community System wird erwartet, dass es ein wunderbares Vorzeigewerk ist, das bemerkenswert professionell und zutiefst innovativ ist. Dieses mit dem A' Design Award in Silber prämierte Design ist eine höchst bemerkenswerte, bewunderte Erfindung, die den Grenzen von Kunst, Wissenschaft, Design und Technologie zugutekommt und sie voranbringt. Holosentinel Smart Community System ist eine vielbeneidete Schöpfung, die Wünsche weckt, positive Gefühle vermittelt und Staunen und Verwunderung entfacht.

Hinter dem Design

Pressemappe

Danksagungen, Teammitglieder und technische Details, bereitgestellt vom Designer.

Einzigartige Eigenschaften: 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.
Abmessungen & Verpackung: 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.
Schlagwörter: Digital Twin Community Safety, 3D Visualized Security Intelligence, Vulnerable Group Spatial Protection, Millimeter-Accurate Energy-Saving Modeling, Cross-Dimensional Cognitive Interface
Produktionstechnologie: 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.
Designherausforderung: 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.
Forschung: 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.
Projektdauer: Development Began in September 2022, Followed by Pilot Testing in a Residential Community in Beijing. The System Was Successfully Deployed in January 2023.
Betriebsablauf: The System Supports Both Mouse and Tablet Touch Controls, Allowing Users to Navigate 3D Spatial Models, Access Operational Features, and Conduct Precise Searches Seamlessly.
Teammitglieder: Leader: Gao Chao
Technical Consultant: Bao Xiaopan
Designer: Zhang Shiqi
3D Modeler: Fan Shengming
Development Engineer: Wang Qi
Bildnachweise: 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.