Holosentinel Sistema de Comunidade Inteligente por Hey July

O design Holosentinel Sistema de Comunidade Inteligente por Hey July é um vencedor altamente estimado do prestigioso 2025 A' Design Award de Prata na Categoria de Competição Design de Tecnologias de Informação.

PrataTecnologias de Informação· 2025

Holosentinel Sistema de Comunidade Inteligente

por Hey July

Cliente: Hey July

Vencedor do A' Design Award de Prata na Categoria Tecnologias de Informação

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O Design

Sobre Holosentinel Sistema de Comunidade Inteligente

Sistema híbrido 3D combina clareza de nível aeroespacial com controles intuitivos. Camadas 3D visualizam estruturas prediais e riscos dinâmicos, enquanto painéis 2D utilizam codificação térmica para monitorar o consumo de energia e o desempenho de dispositivos. Modelos comportamentais de IA identificam automaticamente zonas de alto risco, permitindo a localização de incidentes em cinco segundos. Algoritmos espaciais otimizam HVAC e iluminação através de mapas de calor de multidões 3D, reduzindo o uso de energia em 30 por cento. Navegação baseada em gestos garante transições suaves entre visualizações macro e micro, alcançando avanços em cognição de interface e eficiência operacional.

O Reconhecimento

Sobre o A' Design Award de Prata

Holosentinel Sistema de Comunidade Inteligente conquistou o A' Design Award de Prata, um reconhecimento extraordinariamente prestigiado atribuído a designs de topo de gama, deslumbrantes e impressionantes. Os vencedores da Prata são obras tremendamente brilhantes e extremamente criativas que ilustram a perícia, o talento e a acuidade excecionais dos seus designers. Espera-se que Holosentinel Sistema de Comunidade Inteligente seja uma obra maravilhosa e de referência, notavelmente profissional e profundamente inovadora. Este design vencedor do A' Design Award de Prata é uma invenção muito notável e admirada, que beneficia e faz avançar as fronteiras da arte, da ciência, do design e da tecnologia. Holosentinel Sistema de Comunidade Inteligente é uma criação imensamente invejada que desperta desejos, traz sentimentos positivos e faz nascer espanto e deslumbramento.

Por Trás do Design

Kit de Imprensa

Créditos, membros da equipa e detalhes técnicos fornecidos pelo designer.

Propriedades Únicas: 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.
Dimensões e Embalagem: 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.
Etiquetas: Digital Twin Community Safety, 3D Visualized Security Intelligence, Vulnerable Group Spatial Protection, Millimeter-Accurate Energy-Saving Modeling, Cross-Dimensional Cognitive Interface
Tecnologia de Produção: 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.
Desafio de Design: 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.
Pesquisa: 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.
Inspiração: 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.
Duração do Projeto: Development Began in September 2022, Followed by Pilot Testing in a Residential Community in Beijing. The System Was Successfully Deployed in January 2023.
Fluxo de Operação: The System Supports Both Mouse and Tablet Touch Controls, Allowing Users to Navigate 3D Spatial Models, Access Operational Features, and Conduct Precise Searches Seamlessly.
Membros da Equipa: Leader: Gao Chao
Technical Consultant: Bao Xiaopan
Designer: Zhang Shiqi
3D Modeler: Fan Shengming
Development Engineer: Wang Qi
Créditos de Imagem: 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.