Holosentinel Intelligent Gemeinschaftssystem vum Hey July

D'Wierk Holosentinel Intelligent Gemeinschaftssystem vum Designer Hey July ass en héich geschätzten Gewënner vum prestigiéisen 2025 A' Design Award an Sëlwer an der Wettbewerbskategorie Informatiounstechnologien Design.

SëlwerInformatiounstechnologien· 2025

Holosentinel Intelligent Gemeinschaftssystem

vum Hey July

Client: Hey July

A' Design Award an Sëlwer Gewënner an der Kategorie Informatiounstechnologien

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Den Design

Iwwer Holosentinel Intelligent Gemeinschaftssystem

Hybrid 3D-System kombinéiert Raumfaart-Kloerheet mat intuitiven Kontrollen. 3D-Schichten visualiséieren Gebaierstrukturen an dynamesch Risiken, wärend 2D-Panneauen thermal Kodéierung benotzen fir Energieverbrauch an Apparatsleeschtung ze iwwerwaachen. KI-Verhaalensmodeller markéieren automatesch Héichrisikoberäicher an erméiglechen Zwëschefallokaliséierung a fënnef Sekonnen. Räimlech Algorithmen optimiséieren HVAC an Beliichtung duerch 3D-Leit-Wärmkaarten an reduzéieren den Energieverbrauch ëm 30 Prozent. Gestbaséiert Navigatioun garantéiert nahtlos Iwwergäng tëschent Makro- an Mikrousiichten an erreecht Duerchbroch an Interface-Kognitioun an operationeller Effizienz.

D'Unerkennung

Iwwer den A' Design Award an Sëlwer

Holosentinel Intelligent Gemeinschaftssystem ass e Gewënner vum A' Design Award an Sëlwer, enger aussergewéinlech prestigiéiser Unerkennung, déi un Designe vun der héchster Qualitéit, prächteg a beandrockend vergi gëtt. Sëlwer-Gewënner si bemierkenswäert brillant a ganz kreativ Wierker, déi d'erausragend Expertise, d'Talent an d'Schaarfsënnegkeet vun hire Designer weisen. Et gëtt erwaart, datt Holosentinel Intelligent Gemeinschaftssystem e wonnerbart, mustergëlteg, bemierkenswäert professionellt an déif innovatiivt Wierk ass. Dëst mam Sëlwer ausgezeechent Design ass eng bemierkenswäert, bewonnert Erfindung, déi dozou bäidréit, d'Grenze vun der Konscht, der Wëssenschaft, vum Design an der Technologie ze erweideren. Holosentinel Intelligent Gemeinschaftssystem ass eng Kreatioun, op déi vill neidesch sinn, déi Wënsch erweckt, positiv Gefiller bréngt an Erstaunen a Wonner erweckt.

Hannert dem Design

Press Kit

Credits, Teammemberen an technesch Detailer vum Designer zur Verfügung gestallt.

Eenzegaarteg Eegeschaften: 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.
Dimensiounen & 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.
Tags: Digital Twin Community Safety, 3D Visualized Security Intelligence, Vulnerable Group Spatial Protection, Millimeter-Accurate Energy-Saving Modeling, Cross-Dimensional Cognitive Interface
Produktiounstechnologie: 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 Erausfuerderung: 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.
Fuerschung: 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.
Inspiratioun: 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.
Projetdauer: Development Began in September 2022, Followed by Pilot Testing in a Residential Community in Beijing. The System Was Successfully Deployed in January 2023.
Operatiounsablaf: The System Supports Both Mouse and Tablet Touch Controls, Allowing Users to Navigate 3D Spatial Models, Access Operational Features, and Conduct Precise Searches Seamlessly.
Teammemberen: Leader: Gao Chao
Technical Consultant: Bao Xiaopan
Designer: Zhang Shiqi
3D Modeler: Fan Shengming
Development Engineer: Wang Qi
Bildnoweis: 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.