在COVID-19中开发了基于人工智能的人脸检测模型，对人脸的检测准确率为97.68%，并对人体温度进行了检测...，
We developed Artificial intelligence based model in COVID-19 which detect face mask with accuracy 97.68% and sense the body temperature from distance 1.5meter. System embedded on raspberry pi 4. This system is IoT based. Technologies: Python, openCV, IR Thermal sensors, tensorflow/keras, numpy and pandas. (2020-12-25, Python, 0KB, 下载0次)
基于张量流的轻量级ECG CNN分类器的开发及其在CMOD A7 FPGA上的实现
Lightweight ECG CNN classifier developed with tensorflow and implemented on CMOD A7 FPGA for edge computing (2022-07-26, VHDL, 69600KB, 下载0次)
雅典娜-A1，，
Athena-A1,, (2020-01-08, Makefile, 128499KB, 下载0次)
物联网项目，大学四年级。使用arduino和A7模块的GPS跟踪器。这是团队合作Vaidas Siupienius和...
IoT project 4th year in the college. GPS tracker using arduino and A7 module. This is team work Vaidas Siupienius and Zoltan Fuzesi. (2018-04-27, CSS, 58149KB, 下载0次)