GoKawiilDeveloper builds SIMD-accelerated FAST corner detector for ESP32-S3 chip
An independent developer wrote an assembly-level implementation of the FAST feature detector using the ESP32-S3 microcontroller's 128-bit SIMD instructions, achieving about double the speed of the reference implementation and processing a 320x240 frame in roughly 6 milliseconds. The project, including a custom register allocator called basm, has been published as open-source code.
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The ESP32-S3 costs only a few dollars, so demonstrating real-time-capable computer vision on it could make cheap, low-power edge devices more viable for feature detection tasks typically reserved for more powerful hardware. The developer notes that documentation on these SIMD instructions is sparse, suggesting this work could serve as a reference for others exploring embedded vision on commodity microcontrollers.
- A SIMD-accelerated FAST corner detector now runs on the $2-class ESP32-S3 microcontroller
- Processing speed reaches about 6ms per QVGA (320x240) frame, roughly 2x the reference implementation
- The source code and a custom assembly register allocator (basm) have been released publicly
ESP32-S3-DevKitC-1 Development Board — If you want to try out SIMD-accelerated computer vision yourself, the ESP32-S3-DevKitC-1 is the easiest way to get hands-on with this chip's dual-core CPU and vector instructions. It's a great breakout board for experimenting with camera modules and custom assembly like the FAST detector described in the article.
See ESP32-S3-DevKitC-1 Development Board on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: shraiwi.com, 2026-10-25
Published there as: “SIMD-accelerated computer vision on a $2 microcontroller”
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