ReferencesSmart Building IoT Integration - Amsterdam Campus

Smart Building IoT Integration - Amsterdam Campus

Draftv1

Created by Marcus Weber · Last updated 18 Feb 2026

Project Information

Client

ING Bank

Location

Amsterdam, Netherlands

Period

Sept 2025 Jun 2026

Sector

Smart Building

Activities

IoT sensor deploymentNetwork infrastructure designData analytics platform setupOccupancy monitoring systemsSmart lighting and climate control integration

Tags

iotsmart-buildingbankingamsterdamdigital-twinoccupancy

Completion

35%

x

Key Performance Indicators

€1.5M

Contract Value

2,000+

Sensors Deployed

85,000 m²

Campus Area

Client Description

ING Bank is a Dutch multinational banking and financial services corporation headquartered in Amsterdam, serving over 38 million customers worldwide. ING is recognised as a leader in sustainable finance and digital banking innovation. Their Amsterdam campus, known as the Cedar building, is a flagship workplace designed to foster collaboration and innovation among more than 15,000 employees.

Short Description

Deployment of a comprehensive IoT ecosystem across ING Bank's Amsterdam campus, enabling smart occupancy management, predictive climate control, and data-driven workspace optimization.

Long Description

SPIE is designing and deploying an integrated IoT platform for ING Bank's Amsterdam headquarters campus, transforming it into one of Europe's most advanced smart workplaces. The project involves installing over 2,000 IoT sensors covering occupancy detection, indoor air quality monitoring, lighting levels, and thermal comfort across 85,000 square metres of office space. A centralized data analytics platform aggregates sensor data in real time, feeding machine learning models that optimize HVAC schedules, lighting scenes, and space allocation. The system also powers a digital twin of the campus, providing facility managers with an intuitive 3D interface for monitoring and control. Integration with ING's existing building management and access control systems ensures a seamless user experience for employees.

Key Benefits
  • Projected 25% reduction in energy costs through AI-driven climate and lighting optimization
  • Real-time occupancy analytics enabling dynamic workspace allocation for 15,000+ employees
  • Digital twin platform providing unified facility management and predictive maintenance capabilities
SPIE Expertise
  • Large-scale IoT sensor deployment and network architecture for commercial buildings
  • Data analytics platform design with machine learning integration
  • Digital twin development for facility management applications
  • System integration with legacy BMS and access control infrastructure
Images
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Version History
v3

Updated KPIs and compliance section

Jean-Pierre Martin · 15 Mar 2026

v2

Revised technical descriptions

Claire Fontaine · 20 Feb 2026

v1(current)

Initial draft created

Jean-Pierre Martin · 10 Jan 2026

Collaborators
MW

Marcus Weber

SPIE Germany · contributor

TB

Thomas Berger

SPIE Netherlands · reader

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