An arrayed waveguide grating (AWG) is a key passive component used in high-speed optical modules to perform wavelength multiplexing and demultiplexing. The processing quality of its chip end face and waveguide channels directly affects optical coupling efficiency and channel-to-channel consistency. Shenzhen Xingte Technology Co., Ltd. has developed an AWG end-face inspection machine for AWG mass production, which relies on high-magnification microscopy imaging and AI image algorithms to carry out non-contact inspection of the chip end face and waveguide channels, bringing micron-scale end-face defect detection into an automated quality-control process.
1. Common Types of AWG End-face Defects
During AWG chip dicing, polishing and cleaning, the end face is prone to scratches, chipping, contamination and waveguide damage. These defects are typically on the order of a few micrometers and are difficult to identify reliably by eye or with a common magnifier, yet they can cause increased insertion loss, abnormal back reflection or inter-channel crosstalk. Placing a dedicated end-face inspection station on the production line to objectively judge the end-face condition of each chip is therefore a prerequisite for protecting downstream coupling yield.
2. High-magnification Microscopy and AI Inspection Workflow
The machine captures clear images of the AWG chip end face through a high-magnification microscopy imaging system, and its built-in AI image algorithms then interpret the acquired images automatically. Based on embedded inspection criteria, the system automatically classifies end-face scratches, chipping, contamination and waveguide damage, and outputs a pass or fail result. Compared with manual visual inspection, AI interpretation fixes the judgment criteria for a given part number and reduces misclassification caused by differences in operator experience.
3. Geometric Measurement of Channel Position and Pitch
Beyond appearance defect recognition, the machine can simultaneously measure key geometric parameters such as channel position and channel pitch. Geometry data are stored together with defect images, so process engineers can judge whether dicing or polishing has shifted, and use the data as a reference for subsequent coupling alignment with fiber arrays. End-face inspection thus serves not only as an appearance screen but also as an input to closed-loop process optimization.
4. Non-contact Inspection to Avoid Secondary Damage
The AWG chip end face is an optical mirror surface. Conventional contact measurement, in which probes or fixtures approach the end face, can introduce new scratches, indentations or oil contamination. The machine uses a non-contact inspection method in which the optical lens never touches the device surface, avoiding secondary damage by design. It is therefore suitable for placement after fine polishing and before coupling and assembly, where end-face condition is particularly sensitive.
5. Quick Fixture Changeover and Continuous Batch Inspection
The tooling fixture supports quick changeover and is compatible with multiple AWG chip specifications, reducing setup and alignment time when a line switches between part numbers. Once set up, the machine supports continuous batch inspection, completing imaging, interpretation and result output part by part. Its pace matches the online quality-control requirements of high-speed optical module AWG production, and it avoids the missed detection and cycle-time bottlenecks associated with manual sampling.
6. Data Archiving and MES Integration
Every inspection image and judgment result is automatically archived, and inspection reports are output by batch. The data can be integrated with the line MES and linked to part lot numbers and process information, so that any quality issue can be traced back to a specific time window and piece of equipment. Shenzhen Xingte Technology Co., Ltd. continues to provide intelligent equipment covering end-face inspection, coupling and assembly for optical component mass production, helping customers bring end-face quality control into a quantifiable and traceable line-level system.
