image sensing

简明释义

图像检测

英英释义

例句

1.The new smartphone features advanced image sensing 图像传感 technology that enhances photo quality in low light conditions.

这款新智能手机配备了先进的图像传感 图像传感技术，能够在低光条件下提升照片质量。

2.Medical imaging devices utilize image sensing 图像传感 technology to provide detailed visuals of internal organs.

医学成像设备利用图像传感 图像传感技术提供内部器官的详细图像。

3.Self-driving cars rely on image sensing 图像传感 to interpret their surroundings and make driving decisions.

自动驾驶汽车依赖于图像传感 图像传感来解读周围环境并做出驾驶决策。

4.The security system uses image sensing 图像传感 to detect motion and capture video footage.

该安全系统使用图像传感 图像传感来检测运动并捕捉视频画面。

5.In robotics, image sensing 图像传感 is crucial for object recognition and navigation.

在机器人技术中，图像传感 图像传感对于物体识别和导航至关重要。

作文

In today's rapidly advancing technological landscape, the concept of image sensing has gained significant importance. Image sensing refers to the process by which devices capture and convert visual information into electronic signals. This technology is fundamental in various applications, from digital cameras to medical imaging systems. Understanding how image sensing works can provide insight into its impact on our daily lives and the future of technology. The core principle behind image sensing involves the use of sensors that detect light and convert it into electrical signals. These sensors can be found in a variety of devices, including smartphones, surveillance cameras, and autonomous vehicles. For instance, in a digital camera, the image sensing sensor captures light through the lens and converts it into an image that can be stored or displayed. The quality of the image sensing technology directly affects the clarity and detail of the images produced. One of the most common types of image sensing technology is the charge-coupled device (CCD). CCD sensors have been widely used in photography and video recording due to their ability to produce high-quality images with low noise levels. Another popular type is the complementary metal-oxide-semiconductor (CMOS) sensor, which has become increasingly prevalent in recent years because of its lower power consumption and faster processing speeds. Both types of sensors play a crucial role in enhancing our ability to capture and share moments, making photography more accessible to the masses. Moreover, image sensing technology extends beyond traditional photography. In the medical field, it is utilized in imaging techniques such as MRI and CT scans, allowing healthcare professionals to visualize the internal structures of the human body. This application of image sensing is vital for accurate diagnosis and treatment planning, showcasing how this technology can save lives. In addition to its applications in photography and medicine, image sensing is also pivotal in the development of artificial intelligence (AI) and machine learning. AI systems rely on image sensing to interpret visual data, enabling machines to recognize objects, faces, and even emotions. For example, facial recognition technology, which is increasingly used in security systems and social media platforms, relies heavily on advanced image sensing algorithms. This intersection of technology and image sensing raises important questions about privacy and ethical considerations in the digital age. As we look to the future, the advancements in image sensing technology promise exciting possibilities. With the development of 3D imaging and enhanced depth perception capabilities, we can expect to see innovations in virtual reality (VR) and augmented reality (AR) applications. These technologies will revolutionize industries such as gaming, education, and training, creating immersive experiences that were previously unimaginable. In conclusion, image sensing is a fundamental technology that underpins many aspects of modern life. From capturing memories through photography to enabling critical medical diagnoses and powering AI systems, its influence is far-reaching. As technology continues to evolve, understanding image sensing will be essential for navigating the future landscape of innovation and its implications for society. In Chinese, image sensing translates to "图像传感". This term encapsulates the essence of how we interact with visual data and highlights the significance of this technology in shaping our world today.

在当今快速发展的技术环境中，图像传感的概念变得越来越重要。图像传感指的是设备捕获并将视觉信息转换为电子信号的过程。这项技术在从数码相机到医学成像系统等各种应用中都是基础。理解图像传感的工作原理可以提供对其对我们日常生活和未来技术影响的深入了解。图像传感的核心原理涉及使用传感器来检测光并将其转换为电信号。这些传感器可以在多种设备中找到，包括智能手机、监控摄像头和自动驾驶汽车。例如，在数码相机中，图像传感传感器通过镜头捕获光并将其转换为可以存储或显示的图像。图像传感技术的质量直接影响所产生图像的清晰度和细节。最常见的图像传感技术之一是电荷耦合器件（CCD）。由于其能够以低噪声水平生成高质量图像，CCD传感器在摄影和视频录制中被广泛使用。另一种流行的类型是互补金属氧化物半导体（CMOS）传感器，近年来由于其较低的功耗和更快的处理速度而变得越来越普遍。这两种类型的传感器在增强我们捕获和分享瞬间的能力方面发挥着至关重要的作用，使摄影变得更加普及。此外，图像传感技术超越了传统摄影。在医学领域，它被用于成像技术，如MRI和CT扫描，使医疗专业人员能够可视化人体内部结构。这种图像传感的应用对准确诊断和治疗计划至关重要，展示了这项技术如何拯救生命。除了在摄影和医学中的应用外，图像传感在人工智能（AI）和机器学习的发展中也至关重要。AI系统依赖于图像传感来解释视觉数据，使机器能够识别物体、面孔甚至情感。例如，面部识别技术越来越多地用于安全系统和社交媒体平台，这在很大程度上依赖于先进的图像传感算法。这种技术与图像传感的交集提出了关于隐私和道德考量的重要问题。展望未来，图像传感技术的进步承诺带来令人兴奋的可能性。随着3D成像和增强深度感知能力的发展，我们可以期待虚拟现实（VR）和增强现实（AR）应用的创新。这些技术将彻底改变游戏、教育和培训等行业，创造出以前无法想象的沉浸式体验。总之，图像传感是一项基础技术，支撑着现代生活的许多方面。从通过摄影捕捉记忆到实现关键的医学诊断和驱动AI系统，其影响深远。随着技术的不断发展，理解图像传感将对导航未来的创新景观及其对社会的影响至关重要。在中文中，图像传感的翻译是“图像传感”。这个术语概括了我们如何与视觉数据互动的本质，并强调了这项技术在塑造我们今天世界中的重要性。