Spatial Intelligence for Education
Education campuses are complex, asset-intensive environments. From multi-building universities to distributed school estates, leaders are under pressure to improve operational efficiency, meet sustainability and accessibility requirements, and deliver better experiences for students, staff, and visitors.
With solutions from Viabo, education providers gain spatial clarity, seamless navigation, and automation readiness across their physical environments.
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Campus Intelligence and Asset Visibility
High-fidelity digital twins of campuses are developed using LiDAR, photogrammetry, and advanced spatial data techniques, forming a living record of buildings, infrastructure, and assets.
What this enables
- AI-assisted asset recognition and tagging (lighting, HVAC, equipment, classrooms, labs, accessibility features)
- Centralised visibility for estates, facilities, and capital works teams
- Preventative maintenance and lifecycle planning
- Faster condition assessments without repeated site visits
Value
- Reduced operational costs and reactive maintenance
- Improved compliance with safety, accessibility, and regulatory requirements
- Smoother handover from construction to operations for new builds and refurbishments
Smart and Inclusive Wayfinding
Indoor and outdoor navigation layers are derived from spatial data to support wayfinding across complex, multi-building campuses. These navigation models account for campus layouts, connectivity between spaces, and accessibility considerations, providing consistent routing where consumer mapping tools are insufficient.
What this enables
- Mobile-first indoor and outdoor wayfinding across multi-building sites
- Accessibility-aware routing (step-free access, lifts, mobility-friendly paths)
- No specialist hardware requirements
- Scalable deployment across single or multi-campus portfolios
Value
- Improved student and visitor experience
- Reduced staff time spent on wayfinding assistance
- Supports inclusive design and accessibility obligations
Automation across campus operation
Robotics within education environments are enabled through spatial intelligence and robotics-ready mapping derived from digital twins. These spatial foundations support the safe operation of a range of autonomous and semi-autonomous systems across indoor and outdoor campus settings, integrating with existing operational and facilities workflows.
What this enables
- Advisory and planning for the use of robotics across campus operations
- Robotics-ready maps and navigation layers derived from spatial data
- Deployment of cleaning, logistics, security, inspection, and service robots
- Integration with facilities management systems, schedules, and reporting processes
- Vendor-agnostic assessment and selection of robotics platforms suited to campus needs
Value
- More consistent and predictable operational outcomes across large estates
- Improved safety and risk management in routine and repetitive tasks
- Reduced manual workload and long-term operational pressure
- A scalable foundation for future automation and smart-campus initiatives
Ready to take the next step?
Let's explore how spatial intelligence and automation can support your campus or portfolio.