Holosentinel Dongosolo la Dera Lanzeru by Hey July is a highly esteemed winner of the very prestigious 2025 Mphoto ya Siliva ya A' Design Award in Mapangidwe a Ukadaulo wa Zambiri Competition Category.
SilivaUkadaulo wa Zambiri· 2025
Holosentinel Dongosolo la Dera Lanzeru
by Hey July
Client: Hey July
Mphoto ya Siliva ya A' Design Award Winner in Ukadaulo wa Zambiri Category
- 81,501
- Verified Award Winner
- Verify Award Status for #171198
The Design
About Holosentinel Dongosolo la Dera Lanzeru
Dongosolo la 3D lophatikizidwa limaphatikiza kuwoneka bwino kwapamwamba kwambiri ndi zowongolera zosavuta kumvetsa. Zigawo za 3D zimawonetsa mapangidwe a nyumba ndi zoopsa zosinthika, pomwe mapanelo a 2D amagwiritsa ntchito makodedwe a kutentha kuyang'anira kugwiritsa ntchito mphamvu ndi magwiriro a zipangizo. Mitundu ya makhalidwe a AI imadziwonetsa yokha madera oopsa kwambiri, ndikuthandiza kupeza zochitika m'masekonde asanu okha. Ma-algorithm a malo amakonza HVAC ndi kuunika kudzera m'mapu a kutentha kwa anthu ochuluka a 3D, kuchepetsa kugwiritsa ntchito mphamvu ndi 30 peresenti. Kayendedwe wochita ndi manja kumawonetsetsa kusintha kosalekana pakati pa mawonedwe aakulu ndi aang'ono, kukwaniritsa zopindula pakumvetsetsa mawonekedwe ndi kugwira ntchito bwino.
The Recognition
About the Mphoto ya Siliva ya A' Design Award
Holosentinel Dongosolo la Dera Lanzeru ndi mmodzi mwa opambana a Mphoto ya Siliva ya A' Design Award, kuzindikirika kolemekezeka modabwitsa komwe kumaperekedwa kwa mapangidwe a pamwamba, okongola ndi ochititsa chidwi. Opambana a Siliva ndi ntchito zowala kwambiri ndi zolenga kwambiri zomwe zimaonetsa ukatswiri, luso ndi nzeru zakuthwa za opanga awo. Holosentinel Dongosolo la Dera Lanzeru akuyembekezeka kukhala ntchito yodabwitsa yoonetsedwa, yaukatswiri wapadera ndi yatsopano kwambiri. Mapangidwe opambana Mphoto ya Siliva ya A' Design Award awa ndi chopangidwa chodziwika kwambiri ndi choyamikiridwa chomwe chimapindulitsa ndi kukulitsa malire a luso, sayansi, kapangidwe ndi ukadaulo. Holosentinel Dongosolo la Dera Lanzeru ndi cholengedwa chomwe anthu ambiri amachichitira nsanje, chomwe chimadzutsa zilakolako, kubweretsa maganizo abwino ndi kuyatsa kudabwa ndi chidwi.
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.
Sponsored
Explore Beyond Designers.org
Discover products, services and opportunities from our advertising partners.
More to Explore
Related Designs
Explore more award-winning designs from the same category, selected by merit.
