Holosentinel Sistem Pametne Zajednice od Hey July

Dizajn Holosentinel Sistem Pametne Zajednice od dizajnera Hey July je visoko cijenjeni dobitnik prestižne nagrade 2025 Srebrna nagrada A' Design Award u kategoriji Dizajn Informacionih Tehnologija.

SrebroInformacione Tehnologije· 2025

Holosentinel Sistem Pametne Zajednice

autor Hey July

Klijent: Hey July

Dobitnik nagrade Srebrna nagrada A' Design Award u kategoriji Informacione Tehnologije

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Boje

Dizajn

O dizajnu Holosentinel Sistem Pametne Zajednice

Hibridni 3D sistem kombinuje jasnoću aerospacijalnog nivoa sa intuitivnim kontrolama. 3D slojevi vizualizuju strukture zgrada i dinamičke rizike, dok 2D paneli koriste termičko kodiranje za praćenje potrošnje energije i performansi uređaja. AI bihevioralni modeli automatski označavaju visokorizične zone, omogućavajući lokalizaciju incidenata za pet sekundi. Prostorni algoritmi optimizuju HVAC i rasvjetu kroz 3D toplotne mape gužve, smanjujući potrošnju energije za 30 procenata. Navigacija zasnovana na gestovima osigurava besprijekorne prelaze između makro i mikro prikaza, postižući proboje u kognitivnosti interfejsa i operativnoj efikasnosti.

Priznanje

O nagradi Srebrna nagrada A' Design Award

Holosentinel Sistem Pametne Zajednice je pobjednik Srebrne nagrade A' Design Award, izuzetno prestižnog priznanja koje se dodjeljuje vrhunskim, veličanstvenim i impresivnim dizajnima. Srebrni pobjednici iznimno su briljantna i vrlo kreativna djela koja ilustriraju izuzetnu stručnost, talent i oštroumnost svojih dizajnera. Očekuje se da Holosentinel Sistem Pametne Zajednice bude divno, reprezentativno djelo koje je izuzetno profesionalno i duboko inovativno. Ovaj dizajn koji je osvojio Srebrnu nagradu A' Design Award vrlo je zapažen, nadaleko cijenjen izum koji koristi i pomjera granice umjetnosti, nauke, dizajna i tehnologije. Holosentinel Sistem Pametne Zajednice je kreacija kojoj se mnogi dive i zavide, koja budi želje, donosi pozitivne osjećaje i raspiruje čuđenje i divljenje.

Iza dizajna

Press komplet

Zasluge, članovi tima i tehnički detalji koje je dostavio dizajner.

Jedinstvena svojstva: 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.
Dimenzije i pakovanje: 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.
Oznake: Digital Twin Community Safety, 3D Visualized Security Intelligence, Vulnerable Group Spatial Protection, Millimeter-Accurate Energy-Saving Modeling, Cross-Dimensional Cognitive Interface
Tehnologija proizvodnje: 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.
Dizajnerski izazov: 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.
Istraživanje: 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.
Inspiracija: 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.
Trajanje projekta: Development Began in September 2022, Followed by Pilot Testing in a Residential Community in Beijing. The System Was Successfully Deployed in January 2023.
Tok rada: The System Supports Both Mouse and Tablet Touch Controls, Allowing Users to Navigate 3D Spatial Models, Access Operational Features, and Conduct Precise Searches Seamlessly.
Članovi tima: Leader: Gao Chao
Technical Consultant: Bao Xiaopan
Designer: Zhang Shiqi
3D Modeler: Fan Shengming
Development Engineer: Wang Qi
Autorstvo slika: 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.