摘要
With the acceleration of digitization and informatization,graphic visualization has already become an indispensable tool and medium in modern society.Electroluminescent devices(EL),which refer to certain materials that release photons through internal electron leaps when excited by an electric field,can construct low-cost and flexible multispectral image sensors.In this paper,we propose an alternating current EL device based on a pyramidal conical structure luminescent layer and design a luminescent display image recognition system in combination with a convolutional neural network.The system can recognize the shapes of objects made of different materials while effectively reducing the influence of environmental factors on recognition accuracy,thus achieving a more efficient and reliable image recognition function.Multi-spectral imaging technology provides rich spectral information for the robot,which can provide richer and more comprehensive environment perception capability to meet the needs of diverse dynamic application scenarios.With the significant advantages of EL technology-based image recognition devices,such as high brightness,high contrast,low power consumption,long life,flexibility,and multispectral imaging capability,robots can adapt to complex dynamic environments and achieve higher recognition accuracy and operational efficiency.
随着数字化和信息化进程的加快,图形可视化已成为现代社会不可或缺的工具和媒介.电致发光器件(EL)是指某些材料在电场激励下通过内部电子跃迁释放光子,可构建低成本、灵活的多光谱图像传感器.本文提出了一种基于金字塔锥形结构发光层的交流电致发光器件,并结合卷积神经网络设计了一种发光显示图像识别系统.该系统能够识别不同材料制成的物体形状,同时有效降低了环境因素对识别精度的影响,从而实现了更高效、更可靠的图像识别功能.多光谱成像技术为机器人提供了丰富的光谱信息,能够提供更丰富、更全面的环境感知能力,满足多样化动态应用场景的需求.基于EL技术的图像识别设备具有高亮度、高对比度、低功耗、长寿命、灵活性和多光谱成像能力等显著优势,机器人可以适应复杂的动态环境,实现更高的识别精度和运行效率.
基金
the National Key R&D Program of China(2022YFB3606603)
Fujian Science&Technology Innovation Laboratory for Optoelectronic Information of China(2020ZZ111,2020ZZ113)。
