Most general-purpose automated optical inspection (AOI) equipment cannot fully adapt to all product categories and multi-scenario inspection needs. Only standardized general-purpose models that have been specifically optimized can cover most routine inspections for consumer electronics, while specialized industrial applications still require customized adjustments.
1. Routine Coverage Capability of General-Purpose AOI
Basic appearance and dimensional inspection:
General-purpose AOI can cover common defects in consumer electronics and PCB processing, including solder paste printing offset, component misalignment, missing components, cold solder joints, solder joint shorts or opens, and trace burrs. It can also perform routine dimensional measurements such as component lead spacing, solder joint diameter, and PCB trace width, with typical measurement accuracy ranging from ±0.01 mm to ±0.05 mm.
Adaptation to standardized batch scenarios:
Most basic general-purpose AOI systems can handle batch inspection of products with the same process and specifications, such as routine appearance sampling for mobile phone mainboards or home appliance control boards.
2. Adaptation Limitations of General-Purpose AOI
Incompatibility with specialized industry requirements:
In semiconductor packaging, micro solder joints may be only a few microns in size. The lens resolution and algorithm recognition accuracy of general-purpose AOI cannot meet nano-scale defect detection requirements.
In photovoltaic and new energy applications, defects such as backsheet cracks and crystalline silicon micro-cracks require lighting solutions that general-purpose AOI cannot adapt to for large curved surfaces or low-reflectivity materials.
In flexible electronics, dynamic appearance defects such as wrinkles and bending damage on FPC cannot be captured by ordinary 2D AOI, which lacks three-dimensional shape detection.
Missing special inspection functions:
Functional inspection needs such as OCR recognition of silkscreen characters or component polarity judgment require image semantic recognition. General-purpose algorithm packages often have poor adaptability for these scenarios.
Three-dimensional shape inspection, including 3D solder joint height and lead coplanarity, cannot be achieved by ordinary 2D general-purpose AOI.
Recognition errors caused by process differences:
Defect characteristics such as solder balls and cold solder joints produced by different soldering processes like wave soldering and reflow soldering vary significantly. The recognition accuracy of general-purpose algorithms may drop by 15% to 30% under such variations.
3. Adjustment Directions for General-Purpose AOI to Cover Multiple Inspection Needs
Customized algorithm optimization:
By adjusting the algorithm model according to the defect characteristics of target product categories, recognition accuracy can be improved to over 98% when covering routine defects on PCBs and small home appliance control boards simultaneously.
Hardware adaptation:
Replacing high-resolution lenses and adjustable lighting systems can help the equipment adapt to products with different reflective materials and sizes. For such hardware modifications, Hansheng Automation provides custom-machined lens mounting brackets, adjustable light source supports, and precision positioning components based on equipment specifications, enabling faster adaptation without replacing the entire system.
Multi-station combination configuration:
Combining different inspection stations can cover appearance, dimensional, and three-dimensional shape inspections. However, this approach is essentially a customized combination rather than a purely general-purpose machine.
