AI RESEARCH
Single Pixel Image Classification using an Ultrafast Digital Light Projector
arXiv CS.CV
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ArXi:2603.12036v1 Announce Type: new Pattern recognition and image classification are essential tasks in machine vision. Autonomous vehicles, for example, require being able to collect the complex information contained in a changing environment and classify it in real time. Here, we experimentally nstrate image classification at multi-kHz frame rates combining the technique of single pixel imaging (SPI) with a low complexity machine learning model. The use of a microLED-on-CMOS digital light projector for SPI enables ultrafast pattern generation for sub-ms image encoding.