Case Study
Industry
Headquarters
Employees
Thermal Drywall Panel Inspection
Thermal Drywall Panel Inspection
TAGS
Building Material
Industry
Construction Materials
Headquarters
Canada
Employees
3,000
Company Profile
This leading building materials manufacturer specializes in gypsum-based drywall solutions. With a network of high-throughput facilities, the company produces a wide range of drywall and plasterboard products for large-scale distribution.
This leading building materials manufacturer specializes in gypsum-based drywall solutions. With a network of high-throughput facilities, the company produces a wide range of drywall and plasterboard products for large-scale distribution.
Challenge
To improve quality control on continuous drywall sheets, the manufacturer needed a way to detect internal voids and soft lumps - defects that are difficult to catch with manual inspection. These issues, when undetected, led to panel rejections and rework further down the line. The company wanted an automated solution to detect these anomalies early and guide wet-end adjustments before the product was finalized.
To improve quality control on continuous drywall sheets, the manufacturer needed a way to detect internal voids and soft lumps - defects that are difficult to catch with manual inspection. These issues, when undetected, led to panel rejections and rework further down the line. The company wanted an automated solution to detect these anomalies early and guide wet-end adjustments before the product was finalized.
Solution
Eigen implemented a vision system positioned before the final cutting stage to enable early detection of material inconsistencies. Dual thermal cameras continuously scan the surface of drywall sheets, capturing data that is processed by Eigen’s OneView software. The system uses AI models to detect, count, and consolidate defect data into standardized inspection zones.
Operators are alerted to critical trends and defect areas in real time, while digital records are automatically uploaded to the OneView platform. These records provide end-to-end traceability and allow teams to link product issues back to process conditions, enabling continuous optimization.
Eigen implemented a vision system positioned before the final cutting stage to enable early detection of material inconsistencies. Dual thermal cameras continuously scan the surface of drywall sheets, capturing data that is processed by Eigen’s OneView software. The system uses AI models to detect, count, and consolidate defect data into standardized inspection zones.
Operators are alerted to critical trends and defect areas in real time, while digital records are automatically uploaded to the OneView platform. These records provide end-to-end traceability and allow teams to link product issues back to process conditions, enabling continuous optimization.
Impact
Real Time Detection of Voids and Soft Lumps
Automated Alerts to Prevent Defective Product
Consistent and Standardized Quality Inspection
Digital Records for Process Improvement and Traceability
Real Time Detection of Voids and Soft Lumps
Automated Alerts to Prevent Defective Product
Consistent and Standardized Quality Inspection
Digital Records for Process Improvement and Traceability
