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A developer created a SIMD-accelerated FAST feature detector for the ESP32-S3 microcontroller, achieving roughly double the performance of reference implementations while processing QVGA frames in around 6 milliseconds. The project involved learning assembly programming on the ESP32-S3 and developing a custom register allocator to work around the chip's limitations, demonstrating practical computer vision capabilities on a low-cost ($2) microcontroller with limited but functional SIMD instructions.
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