SolVisionCase Study
Optimizing PCB Assembly Processes
AI visual inspection of electronic components
Inspecting different component insertions
An assembled printed circuit board (PCB) comprises many small electronic components such as resistors, transformers and chipsets that require complicated manufacturing processes. Having checkpoints to make sure that each required component is present and placed correctly is a key task to boosting production throughput.
Error-prone manual visual comparisons
Assembled PCBs can have dozens of different parts and setup, and subtle differences may not be obvious to the human eye. Manual inspections are easily susceptible to missed or inaccurate detections, and are hard to optimize.
AI anomaly detection
Powered by AI, SolVision’s one-shot learning Anomaly Detection tool can learn from a golden sample to recognize undesired characteristics such as incorrect placement of parts or missing components on an assembled PCB. Through high speed image analysis, the system can identify precise differences between the sample and product to locate anomalies and improve inspection efficiency.
AI Inspection
Golden Sample
Defective PCB
Capacitor Defect
Missing Components
