FPGA-based hardware convolution accelerator for detecting digits 8 and 9 in a 64×64 grayscale image using Verilog, AXI4-Lite, Zynq, and RemoteFPGA.
-
Updated
Aug 28, 2026 - VHDL
FPGA-based hardware convolution accelerator for detecting digits 8 and 9 in a 64×64 grayscale image using Verilog, AXI4-Lite, Zynq, and RemoteFPGA.
A Raspberry Pi robot that detects handwritten digits (0-4) using YOLOv8 and executes movement commands
High Throughput, Realistic Data-Augmentation Toolkit for Opitical Digit Detection on Fabrics in Outdoors Enviroment
Using MNIST dataset and applying CNN to detect the digits
To associate your repository with the digit-detection topic, visit your repo's landing page and select "manage topics."