Holosentinel Qhov System Zej Zog Ntse by Hey July

Holosentinel Qhov System Zej Zog Ntse by Hey July is a highly esteemed winner of the very prestigious 2025 A' Design Award Nyiaj in Tsim Thev Naus Laus Zis Xov Xwm Competition Category.

NyiajThev Naus Laus Zis Xov Xwm· 2025

Holosentinel Qhov System Zej Zog Ntse

by Hey July

Client: Hey July

A' Design Award Nyiaj Winner in Thev Naus Laus Zis Xov Xwm Category

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Verified Award Winner

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View at A' Design Award Press Release Award Badge

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The Design

About Holosentinel Qhov System Zej Zog Ntse

Qhov system 3D hybrid sib txuas cov kev pom tseeb qib aerospace nrog rau kev tswj yooj yim. Cov txheej 3D qhia pom cov qauv vaj tsev thiab kev pheej hmoo hloov pauv, thaum cov vaj huam sib luag 2D siv kev coding cua sov los saib xyuas kev siv hluav taws xob thiab kev ua haujlwm ntawm cov cuab yeej. AI cov qauv tus cwj pwm cia li cim thaj chaw muaj kev pheej hmoo siab, ua kom nrhiav tau qhov chaw muaj xwm txheej hauv tsib vib nas this. Cov algorithms qhov chaw ua kom zoo tshaj HVAC thiab teeb pom kev zoo los ntawm 3D daim ntawv qhia cua sov ntawm cov neeg coob, txo kev siv hluav taws xob 30 feem pua. Kev taw qhia raws li tes tsa kom muaj kev hloov pauv tsis muaj teeb meem ntawm kev saib loj thiab me, ua tiav qhov kev vam meej hauv kev paub txog interface thiab kev ua haujlwm tau zoo.

The Recognition

About the A' Design Award Nyiaj

Holosentinel Qhov System Zej Zog Ntse yog tus yeej ntawm A' Design Award Nyiaj, ib qho kev lees paub muaj meej mom heev tshaj li qub uas muab rau cov qauv tsim qib siab, zoo nkauj thiab ua rau neeg xav tsis thoob. Cov neeg yeej Nyiaj yog cov haujlwm ci ntsa iab heev thiab tsim tshiab heev uas qhia txog kev paub, kev txawj ntse thiab kev ntse ntawm cov kws tsim qauv. Holosentinel Qhov System Zej Zog Ntse xav tias yuav yog ib qho haujlwm zoo kawg nkaus uas tsim rau qhia, tshaj lij heev thiab tsim tshiab tob. Cov qauv tsim yeej A' Design Award Nyiaj no yog ib qho khoom tsim uas pom tseeb heev thiab neeg qhuas uas pab tau thiab nthuav dav ciam teb ntawm kev kos duab, kev tshawb fawb, kev tsim qauv thiab thev naus laus zis. Holosentinel Qhov System Zej Zog Ntse yog ib qho khoom tsim uas neeg coob xav tau, uas ua rau xav, coj kev xav zoo thiab ua rau xav tsis thoob thiab xav paub.

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.