Voxelgrid scan
AI analysis
Automatic area determination
in record time

Deep learning technology

Trained with over 500,000 annotated façade images, automatically provides precise area information on windows, doors and materials - directly from the scan. Our AI technology captures components with 99% accuracy and creates detailed mass lists. This precise data is immediately ready for use in ERP, CAFM and management systems, including an SAP interface.

They provide a reliable basis for efficiently analysing, modernizing and optimizing buildings. Supplemented by thermal image analyses, thermal bridges can be precisely localized and targeted energy savings achieved.
Here is an interactive example result from the recording - you can also obtain equally detailed data for your properties:

Wall area - 689.35 ㎡
Window area - 610.43 ㎡
Windowframe area -82.12 ㎡
Balcony - 46.25 ㎡
Door area - 8.49 ㎡
Downspout area - 6.55 ㎡
Chimney area - 0.74 ㎡
Overhanging area - 3.64 ㎡

Area calculation according to DIN 277, GFA, GIF, living space - your basis for construction and energy optimization

Precise area calculations for economic efficiency, planning and billing. The precise determination of areas in accordance with DIN 277, BGF, GIF and the German Residential Space Ordinance (WoFlV) is essential for correct taxation, valuation, operating cost accounting and utilization concepts. It forms the basis for property tax calculations, tenders, energy performance certificates, rent index valuations and space management in ERP systems such as SAP or Wodis.

Architects, engineers and facility managers benefit from the high level of detail, which ensures more efficient communication and collaboration. By reducing errors and optimizing processes, 3D BIM models save time and costs and offer a forward-looking solution for building management.

Total rentable space according to DIN277 - 403,27 m²
Total rentable space according to MF-GIF - 458,4 m²
Tenant 1 area
Tenant 2 area
Hallway is allocated proportionately to tenants 1 & 2 as shared space
Hauptpodeste werden als gemeinschaftlich genutzte Fläche anteilig
auf Mieter 1 & 2 angerechnet
Load-bearing walls do not count as rentable space
Is divided proportionally between tenants 1 & 2 and can only be used to a limited
extent due to a clear room height of less than 1.50 m

Digital room book - automatic recording and DIN 277 evaluation

Voxelgrid's digital room book automatically records and structures all relevant room data - from floor coverings, room numbers and types of use to window sizes, accessibility features and attributes relevant to the rent index. The integrated automated DIN 277 evaluation ensures precise

Flächenberechnung und Klassifizierung nach Nutzungsarten. Dank nahtloser Anbindung an Wodis, SAP und andere Systeme lassen sich die Daten direkt importieren, aktualisieren und für Verwaltung, Planung und Abrechnung nutzen – schnell, präzise und ohne manuellen Aufwand.

The advantage

Precise deep learning for maximum efficiency, sustainable optimization, and lower operating costs.

Energy efficiency

Targeted detection of energy losses for sustainable optimizations.

Facility management

Exact area specifications for more efficient planning and cost savings.

Automation

Automated, cost-effective data collection without manual labor.

projects on deep learning

Projects where our deep learning have successfully contributed to optimizing energy efficiency and cost savings.

icon
Energy optimization at WBV Coswig
Deep learning
all projects
icon

Find out more about our 2D digitizing products and view reference projects!

icon

Get in touch

We believe in the power of teamwork & collaboration.

icon
photo

Individual solutions for individual requirements

icon

In a world of digitalization,            data is
          the new gold.

Update cookies preferences