The Engineering Challenge
High-speed electronics manufacturing lines produce thousands of printed circuit boards per hour, where manual optical inspection caught fewer than 85% of micro-soldering defects and caused severe production bottlenecks.
The manufacturer needed an automated computer vision quality inspection platform capable of detecting microscopic component misalignments and solder bridging in under 100 milliseconds per PCB on active conveyor belts without slowing line velocity.
Our Architectural Solution
Tech Singularity engineered an industrial IoT edge inspection system integrating high-resolution industrial cameras with custom YOLOv8 convolutional neural networks running on NVIDIA Jetson edge accelerators.
The system inspects up to 60 units per minute with 99.8% precision, triggering automated pneumatic reject arms for defective units and streaming telemetry to a centralized plant manager dashboard for real-time yield optimization and predictive maintenance.
Key Systems & Features
Measurable Business Outcomes
Up from 84.5% manual
Per circuit board
In annual waste
"Defect escapes dropped to virtually zero within the first 60 days of deployment."
