Gümüş Bilgi Teknolojileri · 2025
Holosentinel Akıllı Topluluk Sistemi
by Hey July
- A' Design Award Gümüş Ödülü 2025 in Bilgi Teknolojileri
- CLIENT: Hey July
- Estimated Number of Design Views: 81,501
- Verification code C53C25BC37 · Verify this award
Colors
About Holosentinel Akıllı Topluluk Sistemi
Hibrit 3D sistem, havacılık standardında netliği sezgisel kontrollerle birleştirir. 3D katmanlar bina yapılarını ve dinamik riskleri görselleştirirken, 2D paneller enerji kullanımını ve cihaz performansını izlemek için termal kodlama kullanır. Yapay zeka davranış modelleri yüksek riskli bölgeleri otomatik olarak işaretleyerek, olayların beş saniyede lokalize edilmesini sağlar. Mekansal algoritmalar, 3D kalabalık ısı haritaları aracılığıyla HVAC ve aydınlatmayı optimize ederek enerji kullanımını yüzde 30 oranında azaltır. Hareket tabanlı navigasyon, makro ve mikro görünümler arasında kesintisiz geçişler sağlayarak arayüz algısı ve operasyonel verimlilikte atılımlar gerçekleştirir.
About the A' Design Award Gümüş Ödülü
Holosentinel Akıllı Topluluk Sistemi, A' Design Award Gümüş Ödülü kazananıdır; bu, göz alıcı, yüce ve etkileyici birinci sınıf tasarımlara verilen olağanüstü prestijli bir tanınırlıktır. Gümüş kazananlar, tasarımcılarının olağanüstü uzmanlığını, yeteneğini ve keskin zekasını gösteren son derece parlak ve çok yaratıcı eserlerdir. Holosentinel Akıllı Topluluk Sistemi, harika, örnek gösterilen, dikkat çekici derecede profesyonel ve derinlemesine yenilikçi bir eser olması beklenir. A' Design Award Gümüş Ödülü kazanan bu tasarım, sanat, bilim, tasarım ve teknolojinin sınırlarına fayda sağlayan ve onları ilerleten oldukça dikkat çekici, beğenilen bir buluştur. Holosentinel Akıllı Topluluk Sistemi, büyük kıskançlıkla bakılan, arzuları uyandıran, olumlu duygular getiren ve şaşkınlık ve hayranlık uyandıran bir yaratımdır.
Press Kit
- 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.
- 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.
