rueng
A digital 3D model of a residential district

Computer vision
for construction

A computer vision system for quality control on a 60,000 m² facility. The customer is a developer, under NDA.

Business effect (60,000 m² facility)

million RUB on lending
million RUB on inspections
inspection time
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Task

On a large construction site, deviations from the design are found by technical-supervision engineers: it is expensive, slow and subjective. Checking against the BIM model took 2-3 days and held up the acceptance of stages, while the bank tranches depended on an objective readiness figure.

  • shorten the cycle of control and BIM comparison
  • give the bank an objective readiness figure
  • stop arguing with contractors by eye
  • cover safety control
  • not stop the work on site during surveys

Solution

Comprehensive automation of quality control:

  • AI + computer vision + IoT
  • Equipment: 360° cameras, lidars, thermal imagers, humidity sensors
  • High-speed shooting: 1 minute per room
  • AI analysis and automatic defect detection: in 1 day
  • Comparison of actual conditions with BIM models
  • Web panel and mobile applications for operators
  • Integration with 1C and customer systems

Result

Business effect (60,000 m² facility)

160M RUB
savings on lending
29M RUB
savings on inspections
−70%
reduction of inspection time

Minimizing disputes with contractors through objective control

Technologies

  • Computer vision
  • 3D scanning
  • IoT (LiDAR, thermal imaging, sensors)
  • BIM integration
  • React Native + web platform

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