Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving accuracy and reducing false trips, for edge deployment. Learn how embedded ...

Abstract: Our aim is to provide a new interpretation of the SUSAN edge detector and to propose its modified version, which is still simple, robust against errors and provides thinner edges, without ...

Wan et al. (2018) proposed a method for fresh tomato maturity detection using HSV color space for segmentation and edge detection for shape analysis. The method demonstrated promising performance in ...

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This project implements a reconfigurable CNN coprocessor based on the RISC-V instruction set architecture, targeting efficient edge AI inference on FPGA. The coprocessor supports convolution, pooling, ...