An Integrated Hardware-Software Design for Low-Data Spatial Defect Detection in Robotic Visual Inspection with Hybrid Optoelectronic Neural Networks
面向机器人视觉检测中低数据空间缺陷检测的软硬件集成设计:混合光电神经网络
机构 * School of Artificial Intelligence and Automation, Huazhong University of Science and Technology(华中科技大学人工智能与自动化学院) ; China Belt and Road Joint Lab on Measurement and Control(中国一带一路测量与控制联合实验室) ; School of Electric and Electrical Engineering, Chongqing University of Technology(重庆理工大学电气与电子工程学院) ; Department of Precision Instrument, Tsinghua University(清华大学精密仪器系)
专题命中 其他机器人 :robotic(title,abstract);分类 cs.RO、cs.CV
AI总结 提出一种软硬件集成的光电架构,通过非成像低数据范式和传感器在环策略,结合压缩感知与CLIP引导注意力,实现缺陷检测数据量减少90%、计算量降低60%。