From an image
to an inspection.
Bringing computer vision into chip inspection means connecting the model to the machine, the workflow and the people who use its results.
Detection is one part
of the job.
Chip inspection sits inside a production process. Images must be acquired consistently, defects need to be located, and the result has to reach the equipment and quality workflow in a useful form.
The work described in this project combines object detection with image preprocessing, edge processing and integration into manufacturing systems. The engineering challenge is the connection between those parts.
A connected inspection flow.
Follow the image from acquisition to the inspection result. Each stage has a different responsibility, and each interface matters.
Acquire
Industrial cameraImage preparation
Detect
Defect classesLocation in the image
Interpret
Detection thresholdsInspection result
Integrate
Equipment interfaceQuality reporting
Simplified explanatory diagram of the inspection workflow.
Build around the process.
Make the input useful.
Image acquisition and preprocessing belong in the system design. The detection model needs consistent inputs that preserve the detail required for small defects.
Connect predictions to action.
Defect classes and locations need to become inspection results. Configurable thresholds support different product specifications and inspection needs.
Fit the production environment.
Edge processing and equipment integration connect the model to the existing workflow. Reporting makes the output useful beyond an individual prediction.
The model. And everything around it.
- Computer visionObject detection for chip defects, with image preprocessing and localization.
- System integrationConnections between industrial cameras, edge processing and manufacturing equipment.
- Inspection outputsConfigurable detection thresholds, quality reporting and process information.
This is the perspective ModelShifts brings to new engagements: understand the workflow, develop the technical core and connect it to a system the team can use.
Let's look at your system.
Start with the problem, the current setup and what needs to work better.