Blog

Yamaha Motor Releases YRi-V 3D Hybrid AOI System :: I-Connect007

One trend is to add box build and final assembly to your product offering. In this issue, we explore the opportunities and risks of adding system assembly to your service portfolio.

This month’s issue devotes its pages to a comprehensive preview of the IPC APEX EXPO 2024 event. Whether your role is technical or business, if you're new-to-the-industry or seasoned veteran, you'll find value throughout this program. small surface plate

Every part of your business can be evaluated as a process, including your sales funnel. Optimizing your selling process requires a coordinated effort between marketing and sales. In this issue, industry experts in marketing and sales offer their best advice on how to boost your sales efforts.  

Yamaha Motor Europe announced that on July 1, 2021, it will launch the YRi-V 3D hybrid automated optical inspection (AOI) system, which achieves both high speed and high precision in operation, for high-end factories mounting electronic components.

The YRi-V was developed as a higher-end version of the bestselling YSi-V 3D hybrid AOI system, which is equipped with 2D inspection, 3D inspection, and a 4-direction angular camera in a single machine. By adopting a newly developed inspection head equipped with a high-speed, high-resolution camera, an updated 3D projector, a high-performance GPU, and more, the YRi-V achieves the industry's fastest inspection speed. Further, inspection performance has been greatly improved while building on previous levels of convenience and functionality, such as raising the inspection capabilities for fine pitch ultra-small components and detecting scratches, cracks, chipped areas, and the like with mirror-surface finishes, a difficulty until now.

The main features include 1) high levels of both speed and precision by adopting a newly developed inspection head equipped with a high-speed, high-resolution camera and a high-precision 8-direction 3D projector, 2) more functionality such as greater component inspection compatibility thanks to new coaxial lightning and more compatible PCB lengths via revised conveyors, and 3) improved usability thanks to using AI-powered deep learning and other changes to simplify, automate and lower skill requirements for inspection data creation, conversion, tuning, etc.

Market Background and Product Outline

The reliability shown with SMT processes directly affects the market value of the products. The SMT field in recent years has seen the shift toward smaller sizes, higher densities, greater functionality, and more diversification accelerate rapidly, and in order to ensure the reliability of PCBs, fast yet precise inspection of mounting quality across all items via automated optical inspection (AOI) will be even more sought after. Also more recently, the use of thin and extremely small WLCSPs and FOWLPs, which have a specular gloss on the package surface, has risen significantly in the market. So, in addition to mirror-surface components that are difficult to inspect, the need for compatibility to mount ultra-small components at the fine pitch is increasing.

The YRi-V accommodates these changes and demands of the market early on. This AOI system dramatically improves inspection ability in terms of both speed and accuracy, with greater detection capability for 0201 sizes (0.25 mm x 0.125 mm) ultra-small components and mirror-glossed components.

In addition, with our unique 1-Stop Smart Solution concept, we take advantage of being the industry’s leading manufacturer with a full lineup of SMT equipment— from SMD storage, solder paste printers, and glue dispensers to surface mounters and AOIs—to offer new value via the high-level integration and coordination among our line equipment that removes the need for black boxes.

1. High speed and high precision

The newly developed inspection head features the current 12 ?m and 7 ?m resolution lenses as well as a new 5 ?m resolution lens compatible with 0201 size ultra-small chip components. The YRi-V gains all-new lighting with increased luminance and is also equipped with the industry's fastest high-speed, high-resolution camera with an increased frame rate. Employing high-performance GPU yields faster image processing capabilities that achieve incredible speeds, almost twice that of the current YSi-V TypeHS2 at 7 ?m and 1.6 times at 12 ?m.

Updating the 3D projector has also enabled even more precise inspections, with both measurement accuracy and range doubled compared to current models and high-precision measurement now possible for up to 25 mm in height.

Furthermore, by combining the 5 ?m lens and an 8-direction 3D projector, it is possible to perform high-precision 3D inspections of 0201 size ultra-small chip components and fine pitch components with imaging at high resolutions without the effects of component blind spots.

The inspection head’s new coaxial lighting bolsters the capability to detect scratches, cracks, and chipped areas on mirror-surface components and the detection sensitivity has also been improved.

In addition, the revised conveyors expand the range of compatible PCB lengths and it is possible to flexibly handle longer, 1,200 mm PCBs (with optional fittings). In a dual-lane setup, the freer adjustability of fixed positions for rails 2, 3, and 4 have improved versatility when linking up with other equipment.

Intuitive operation is possible with the new GUI’s next-generation design. Further, automating various functions, incorporating AI and more has enabled us to offer a full range of support functions for creating inspection data and for tuning data without the need for a high skillset among operators.

It is possible to convert CAD/CAM/YGX data into inspection data in a single step. In addition, the machine is compatible with Gerber data as standard and automatically generates virtual board images.

It is easier to create inspection data with features like offline data creation, individual 3D projector condition settings and automatic creation of through-hole data from raw board images. 

Data tuning time is halved by eliminating inspection frames (automatic calculation), automating lighting parameters and automatic position correction that accurately accounts for the degree of component misalignment.

wafer oxidation In addition, AI deep learning identifies the component type from the component image and automatically sets the ideal component library. It also greatly promotes further automation and labor-saving, such as automating new component library creation and aiding with secondary visual checks and decisions.