Ọlaọcha Teknụzụ Ozi · 2025
Holosentinel Sistemu Obodo Amamihe
by Hey July
- Ihe Nrite A' Design Award nke Ọlaọcha 2025 in Teknụzụ Ozi
- CLIENT: Hey July
- Estimated Number of Design Views: 81,501
- Verification code C53C25BC37 · Verify this award
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About Holosentinel Sistemu Obodo Amamihe
Usoro 3D ngwakọta na-ejikọta ịdị ọcha ọkwa mbara igwe na njikwa dị mfe ịghọta. Ọkwa 3D na-egosi nhazi ụlọ na ihe ize ndụ na-agbanwe agbanwe, ebe panel 2D na-eji usoro koodu okpomọkụ nyochaa ojiji ike na arụmọrụ ngwaọrụ. Ụdị omume AI na-amaa akara mpaghara ihe ize ndụ dị elu ozugbo, na-eme ka achọpụta ihe mberede n'ime sekọnd ise. Algọridim oghere na-eme ka HVAC na ọkụ dị mma karịa site na maapụ okpomọkụ igwe mmadụ 3D, na-ebelata ojiji ike ruo pasent 30. Ịnyagharị dabere na mmegharị aka na-eme ka mgbanwe dị n'etiti echiche sara mbara na nke nta dị mfe, na-enwe ọganihu na nghọta interface na ịrụ ọrụ nke ọma.
About the Ihe Nrite A' Design Award nke Ọlaọcha
Holosentinel Sistemu Obodo Amamihe meriri A' Design Award nke Ọlaọcha, nnabata dị oke ugwu e nyere design ndị dị n'ọkwa kachasị elu, mara mma ma na-eju anya. Ndị meriri na Ọlaọcha bụ ọrụ na-egbu maramara nke ukwuu ma dị oke nzụlite nke na-egosi ọmarịcha ihe ọmụma, talent na nghọta nke ndị designer ha. A na-atụ anya na Holosentinel Sistemu Obodo Amamihe ga-abụ ọrụ dị ịtụnanya, ihe nlereanya, nke dị oke ọrụ ma dị omimi n'ihe ọhụrụ. Design a meriri A' Design Award nke Ọlaọcha bụ ihe e mepụtara dị oke ịrịba ama, nke a na-eto nke na-erite uru ma na-ebuga oke nka, sayensị, design na teknụzụ n'ihu. Holosentinel Sistemu Obodo Amamihe bụ ihe e kere eke ọtụtụ ndị na-ekwo ekworo ya nke na-akpali ọchịchọ, na-eweta mmetụta ọma ma na-akpali ịtụnanya.
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.
