Holosentinel Sistem Komuniti Pintar by Hey July is a highly esteemed winner of the very prestigious 2025 A' Design Award Perak in Reka Bentuk Teknologi Maklumat Competition Category.
PerakTeknologi Maklumat· 2025
Holosentinel Sistem Komuniti Pintar
by Hey July
Client: Hey July
A' Design Award Perak Winner in Teknologi Maklumat Category
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The Design
About Holosentinel Sistem Komuniti Pintar
Sistem 3D hibrid menggabungkan kejelasan gred aeroangkasa dengan kawalan intuitif. Lapisan 3D menvisualisasikan struktur bangunan dan risiko dinamik, manakala panel 2D menggunakan pengekodan terma untuk memantau penggunaan tenaga dan prestasi peranti. Model tingkah laku AI secara automatik menandakan zon berisiko tinggi, membolehkan pengesanan lokasi insiden dalam lima saat. Algoritma spatial mengoptimumkan HVAC dan pencahayaan melalui peta haba kumpulan 3D, mengurangkan penggunaan tenaga sebanyak 30 peratus. Navigasi berasaskan gerak isyarat memastikan peralihan lancar antara pandangan makro dan mikro, mencapai terobosan dalam kognisi antara muka dan kecekapan operasi.
The Recognition
About the A' Design Award Perak
Holosentinel Sistem Komuniti Pintar ialah pemenang A' Design Award Perak, pengiktirafan yang sangat berprestij yang dianugerahkan kepada reka bentuk bertaraf tinggi, indah dan mengagumkan. Pemenang Perak ialah karya yang amat cemerlang dan sangat kreatif yang menggambarkan kepakaran, bakat dan ketajaman fikiran yang luar biasa pereka bentuknya. Holosentinel Sistem Komuniti Pintar diharapkan menjadi karya yang menakjubkan, contoh teladan, sangat profesional dan sangat inovatif. Reka bentuk pemenang A' Design Award Perak ini ialah ciptaan yang sangat ketara dan dikagumi yang memberi manfaat kepada dan memajukan batas seni, sains, reka bentuk dan teknologi. Holosentinel Sistem Komuniti Pintar ialah ciptaan yang sangat dicemburui yang membangkitkan keinginan, membawa perasaan positif dan mencetuskan rasa hairan serta kagum.
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.
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