By Innofocus Photonics Technology Pty Ltd
Automatically tracing the surface of the material to be processed is a great challenge, which requires an AI vision recognition function simultaneously with targeted algorithms. We need to consider the response of material itself to laser (e.g. whether it is highly reflective or it is fluorescent etc.) and the material modification after being irradiated by laser (e.g. modulation of refractive index and amplitude). Therefore, it is necessary to implement tracing functions accordingly based on different mechanisms and different materials. Here we provide an example of photoreduction processing on graphene oxide films: First, graphene oxide has a relatively high refractive index (>1.8), thus we can determine whether the laser focus is on the surface of the graphene oxide film by detecting the reflected light pattern through machine vision. Meanwhile, we can determine the performance of laser focus on the film surface by looking at the amplitude modulation caused by laser fabrication, and we can also determine whether the laser is in the best position by judging its processing resolution. Additionally, here we demand excellence not just in software but also in hardware. Design and calibration of the laser device is necessary to achieve the best imaging quality and highest imaging resolution. Surface tracing is a systems engineering task and this is just a case of processing graphene oxide films. It is a complicated topic that is constantly changing according to requirements of different materials. Innofocus is an expert in this field and holds patents for relevant inventions. Do not hesitate to enquire with more specific demands. Surface tracing performs in real time. The speed of the process is determined by the sampling speed and frequency. The goal surface tracing is to keep the focal point on the surface of the substrate during processing by compensating for the focal point offset in real time. Surface tracing can further output the real-time position of the focal point, which can reconstruct the entire surface profile. This function can be used to design the 3D position of the entire multi-focus array for multi-focus machining. In the multi-focus scenario, in order to track each focus, the 3D spatial distribution of the entire multifocal array needs to be updated in real time, so that the multifocal array can be updated by refining the phase modulation. Ideally, this method is feasible. However, this process requires intensive computer computation, and the current computer capability is not prepared to enable the real-time surface tracing of multifocal arrays.
