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Holosentinel Greint samfélagskerfi by Hey July

Holosentinel Greint samfélagskerfi by Hey July is a highly esteemed winner of the very prestigious 2025 A' Design Award í silfri in Hönnun upplýsingatækni Competition Category.


SilfurUpplýsingatækni· 2025

Holosentinel Greint samfélagskerfi

by Hey July

Client: Hey July

A' Design Award í silfri Winner in Upplýsingatækni Category

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The Design

About Holosentinel Greint samfélagskerfi

Blandað 3D-kerfi sameinar geimferðagæða skýrleika við innsæisstýringar. 3D-lög sýna byggingaskipulag og breytilega áhættu á sjónrænan hátt, á meðan 2D-spjöld nota hitakóðun til að fylgjast með orkunotkun og afköstum tækja. Gervigreindar hegðunarlíkön merkja sjálfkrafa háhættusvæði og gera kleift að staðsetja atvik á fimm sekúndum. Rúmfræðireiknirit hagræða loftræstingu, upphitun og lýsingu með 3D hitakortum mannfjölda, sem minnkar orkunotkun um 30 prósent. Bendingastýrð leiðsögn tryggir hnökralaus umskipti milli stórra og nákvæmra yfirlita og nær byltingarkenndum árangri í skilningi viðmóts og rekstrarhagkvæmni.

The Recognition

About the A' Design Award í silfri

Holosentinel Greint samfélagskerfi vann A' Design Award í silfri, gífurlega virta viðurkenningu sem veitt er hönnunarverkum í fremstu röð, stórfallegum og áhrifamiklum. Sigurvegarar í silfri eru ákaflega snjöll og afar skapandi verk sem sýna framúrskarandi sérfræðiþekkingu, hæfileika og skarpskyggni hönnuða sinna. Þess er vænst að Holosentinel Greint samfélagskerfi sé dásamlegt sýningarverk sem er einstaklega fagmannlegt og djúpt nýstárlegt. Þetta hönnunarverk sem vann A' Design Award í silfri er mjög athyglisverð, dáð uppfinning sem gagnast og færir mörk listar, vísinda, hönnunar og tækni fram á við. Holosentinel Greint samfélagskerfi er mjög öfunduð sköpun sem vekur langanir, færir jákvæðar tilfinningar og kveikir undrun og aðdáun.

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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