BMU-mounted building envelope inspection: AI defect detection and condition mapping across high-rise and commercial facades, captured during the building's normal maintenance unit operation. No drones, no dedicated rope-access campaign.
Rope access and elevated work platforms require specialist crews and extensive planning, making comprehensive facade surveys expensive, infrequent and hazardous.
Rope access and EWP operations expose workers to serious fall risk, requiring extensive safety planning, permits and specialist crews.
Each inspection campaign requires significant equipment hire, crew staging and access planning, making comprehensive surveys rare and expensive.
Facades are often inspected just once every five years. Condition changes constantly, so for most of that cycle you have minimal, outdated visibility of the building.
Manual records are coarse and limited to the inspector's notes, typically a level and drop reference such as 'Level 5, drop X'. Defects are hard to pinpoint, track over time or integrate with maintenance systems.
Capture → Upload → Analyse → Review → Report
The inspection system is retrofitted to the building's BMU. It localises against the facade and runs within normal BMU operation, with no dedicated inspection setup required.
As the BMU runs day-to-day window cleaning and facade maintenance, the system captures high-resolution imagery of the facade and monitors the operators in the cradle. No need to engage BMU drivers for a dedicated facade survey, so you save the cost of a separate inspection campaign.
Captured data is uploaded to the cloud, where AI and human reviewers analyse it and classify defects across the facade: spalling, cracking, efflorescence, water damage, sealant failure, cladding delamination and more.
A georeferenced condition report is generated with severity ratings per panel, an evidence pack and a maintenance schedule. Known defects are tracked over time and new defects flagged as they appear.


The facade inspection system learns your facade. No two facades are the same, so the models are trained and tuned to your facade's materials, construction and conditions.
Surface delamination and spalled sections identified by visual pattern recognition across concrete panels.
Hairline to structural cracks classified by width, length and propagation pattern.
Salt crystallisation, mineral deposits and moisture-migration staining mapped across masonry and concrete surfaces.
Staining, discolouration and moisture infiltration zones identified by visual inspection. Thermal imaging available as an option for active or subsurface moisture.
Joint sealant deterioration, voids and adhesion failures identified between panels and at penetrations.
Separation of facade cladding panels identified by visual inspection, with optional thermal differential for subsurface detection.
Inspection rides the building's BMU during its normal operation, removing the crew, equipment hire and extended site presence of a rope-access campaign.
Inspection happens during normal BMU operation, so no separate crew is sent up to survey the facade. The operators already in the cradle are monitored by the system for added safety.
Inspection accumulates as the BMU runs its routine cleaning and maintenance, covering the whole envelope without a dedicated campaign, no panels missed.
Every defect is spatially located on the building envelope to centimetre accuracy, rated by severity, and linked to a prioritised maintenance schedule and photographic evidence.
The inspection system is retrofitted to the building's BMU. Access, scope and the inspection plan are agreed with the building manager.
The system is calibrated against a representative facade section and validated before live operation. A thermal baseline is established only where thermal is included.
Condition reports are delivered as PDFs and digitally on the NXTGEN Inspect platform, and integrated with your existing building maintenance management system. As inspections accumulate through normal BMU operation, the AI models are tuned continuously, so detection improves over time.
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