O le mamanu Holosentinel Faiga Nu'u Atamai e Hey July o se manumalo maualuga tele o le fa'ailoga mamalu 2025 A' Design Award Ario i le Vaega Tauva Tekinolosi Fa'amatalaga.
ArioTekinolosi Fa'amatalaga· 2025
Holosentinel Faiga Nu'u Atamai
na mamanuina e Hey July
Tagata Fa'atau: Hey July
Manumalo o le A' Design Award Ario i le Vaega Tekinolosi Fa'amatalaga
Manumalo Fa'ailoga Fa'amaonia
Fa'amaonia le Tulaga o le Fa'ailoga mo #171198Le Mamanu
E Uiga ia Holosentinel Faiga Nu'u Atamai
O le Faiga Fa'akomepiuta 3D Fa'afefiloi e tu'ufa'atasia ai le manino lelei i le tulaga o tekinolosi va'alele ma fa'atonuga faigofie. E fa'aalia manino e fa'asologa 3D fausaga o fale ma lamatiaga suia, ae fa'aogaina e pa'u 2D le fa'ailoga vevela e mata'itu'ina ai le fa'aogaina o le malosi ma le fa'atinoga o masini. O fa'ata'ita'iga amioga AI e fa'ailoa otometi ai nofoaga matuā lamatiaga, ma mafai ai ona iloa vave le nofoaga o mea tutupu i totonu o sekone lima. O fa'ata'ita'iga fua avanoa e fa'aleleia ai le HVAC ma le malamalama e ala i fa'afanua vevela 3D o motu o tagata, ma fa'aitiitia ai le fa'aogaina o le malosi e 30 pasene. O le ta'ita'iga e fa'avae i fa'ailoga lima e mautinoa ai fesuia'iga lelei i le va o va'aiga tetele ma va'aiga laiti, ma ausia ai ausiaga fou i le malamalama i feso'ota'iga ma le lelei o le fa'atino.
Le Fa'ailogaina
E Uiga i le A' Design Award Ario
O le A' Design Award Ario na manumalo ai Holosentinel Faiga Nu'u Atamai, o se faamaoniga matuā mamalu e tuuina atu i mamanu sili ona lelei, matagofie ma mataʻutia. O ē manumalo i le Ario o galuega susulu tele ma fatufatuaʻi e faaalia ai le poto, le taleni ma le atamai o tagata mamanu. E faamoemoeina Holosentinel Faiga Nu'u Atamai e avea ma galuega matagofie, o se fesuiaiga mo isi, e iloga i le tomai faapolofesa ma mea fou loloto. O lenei mamanu na manumalo i le A' Design Award Ario o se mea e iloga, ua mataʻina e aogā ma tuleia atu tapulaʻa o le faatufugaga, saienisi, mamanu ma tekonolosi. Holosentinel Faiga Nu'u Atamai o se mea e fiafia i ai le toatele, e fafagu ai manaʻoga, aumaia ai lagona lelei ma tupu ai le ofo.
I Tua o le Mamanu
Pepa Fa'asalalau
Fa'amaoniaga, sui o le 'au ma fa'amatalaga fa'atekinisi na saunia e le tagata mamanu.
- Uiga Fa'apitoa
- 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.
- Fua & Fa'apipi'i
- 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.
- Fa'ailoga
- Digital Twin Community Safety, 3D Visualized Security Intelligence, Vulnerable Group Spatial Protection, Millimeter-Accurate Energy-Saving Modeling, Cross-Dimensional Cognitive Interface
- Tekonolosi Gaosiga
- 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.
- Lu'itau o le Mamanu
- 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.
- Su'esu'ega
- 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. - Fa'aosofia
- 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.
- Umi o le Poloketi
- Development Began in September 2022, Followed by Pilot Testing in a Residential Community in Beijing. The System Was Successfully Deployed in January 2023.
- Fa'agasologa o Galuega
- The System Supports Both Mouse and Tablet Touch Controls, Allowing Users to Navigate 3D Spatial Models, Access Operational Features, and Conduct Precise Searches Seamlessly.
- Sui o le 'Au
- Leader: Gao Chao
Technical Consultant: Bao Xiaopan
Designer: Zhang Shiqi
3D Modeler: Fan Shengming
Development Engineer: Wang Qi - Fa'aaloaloga o Ata
- 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.
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