object identification

简明释义

目标识别

英英释义

例句

1.The training dataset used for object identification 物体识别 must be diverse and comprehensive.

用于物体识别的训练数据集必须多样且全面。

2.The new software uses advanced algorithms for object identification 物体识别 in real-time video feeds.

新软件使用先进算法进行实时视频流中的物体识别。

3.The app's object identification 物体识别 feature allows users to identify plants and animals instantly.

该应用的物体识别功能使用户能够即时识别植物和动物。

4.Researchers are improving object identification 物体识别 systems to enhance security measures.

研究人员正在改进物体识别系统以增强安全措施。

5.In the field of robotics, object identification 物体识别 is crucial for navigating environments.

在机器人领域，物体识别对环境导航至关重要。

作文

Object identification is a crucial process in various fields, including computer vision, robotics, and artificial intelligence. It refers to the ability of a system to recognize and categorize objects within a given environment. This process involves analyzing visual data, extracting features, and matching them against known object categories. The significance of object identification (物体识别) lies in its wide range of applications, from autonomous vehicles to security systems and even medical imaging.In the realm of autonomous vehicles, object identification (物体识别) plays a pivotal role in ensuring safety and efficiency. Self-driving cars rely on advanced algorithms to detect pedestrians, traffic signs, and other vehicles on the road. By accurately identifying these objects, the vehicle can make informed decisions, such as when to stop, accelerate, or change lanes. This capability not only enhances the driving experience but also significantly reduces the risk of accidents.Moreover, in the field of robotics, object identification (物体识别) enables robots to interact with their surroundings effectively. For instance, service robots in hotels or hospitals must identify objects like luggage, food trays, or medical equipment to perform their tasks efficiently. Through machine learning techniques, robots can improve their object identification (物体识别) capabilities over time, leading to more precise and reliable interactions with the environment.Another important application of object identification (物体识别) is in security systems. Surveillance cameras equipped with object identification (物体识别) technology can detect unusual activities or unauthorized individuals in restricted areas. By analyzing video feeds in real-time, these systems can alert security personnel to potential threats, enabling a quicker response to incidents. This technology has become increasingly vital in maintaining safety in public spaces, airports, and sensitive facilities.In the healthcare sector, object identification (物体识别) aids in medical imaging analysis. Radiologists use advanced software that incorporates object identification (物体识别) algorithms to identify tumors, fractures, or other abnormalities in X-rays, MRIs, and CT scans. By enhancing the accuracy of diagnoses, this technology contributes to better patient outcomes and more effective treatment plans.The development of object identification (物体识别) technologies has been fueled by advancements in machine learning and deep learning methodologies. Neural networks, particularly convolutional neural networks (CNNs), have proven to be highly effective in recognizing patterns and features in images. As these models are trained on vast datasets, they become adept at distinguishing between different objects, even in complex environments.However, challenges remain in the field of object identification (物体识别). Variability in lighting conditions, occlusions, and the presence of similar-looking objects can hinder accurate identification. Researchers are continuously working to improve the robustness of these systems, ensuring they can perform reliably under diverse conditions.In conclusion, object identification (物体识别) is a fundamental aspect of modern technology with far-reaching implications across various industries. Its applications in autonomous vehicles, robotics, security systems, and healthcare illustrate its importance in enhancing safety, efficiency, and accuracy. As technology continues to evolve, the capabilities of object identification (物体识别) will undoubtedly expand, paving the way for innovative solutions to complex problems.

物体识别是计算机视觉、机器人技术和人工智能等多个领域中的一个关键过程。它指的是系统在给定环境中识别和分类物体的能力。这个过程涉及分析视觉数据、提取特征，并将其与已知物体类别进行匹配。物体识别的重要性在于它广泛的应用范围，从自主驾驶车辆到安全系统，甚至医学成像。在自主驾驶车辆领域，物体识别发挥着确保安全和效率的关键作用。自动驾驶汽车依赖先进的算法来检测行人、交通标志和道路上的其他车辆。通过准确识别这些物体，车辆可以做出明智的决策，例如何时停止、加速或变道。这种能力不仅提升了驾驶体验，还显著降低了事故风险。此外，在机器人技术领域，物体识别使机器人能够有效地与周围环境互动。例如，酒店或医院的服务机器人必须识别行李、餐盘或医疗设备等物体，以高效执行任务。通过机器学习技术，机器人可以随着时间的推移提高其物体识别能力，从而实现更精确和可靠的环境互动。物体识别的另一个重要应用是安全系统。配备物体识别技术的监控摄像头可以检测限制区域内的异常活动或未经授权的人。通过实时分析视频流，这些系统可以向安保人员发出潜在威胁的警报，从而更快地对事件做出反应。这项技术在维护公共场所、机场和敏感设施的安全方面变得越来越重要。在医疗领域，物体识别有助于医学影像分析。放射科医生使用先进的软件，其中包含物体识别算法，以识别X光、MRI和CT扫描中的肿瘤、骨折或其他异常。通过提高诊断的准确性，这项技术有助于改善患者的治疗效果和更有效的治疗方案。物体识别技术的发展得益于机器学习和深度学习方法的进步。神经网络，特别是卷积神经网络（CNN），在识别图像中的模式和特征方面被证明是非常有效的。随着这些模型在大量数据集上进行训练，它们在复杂环境中区分不同物体的能力不断增强。然而，物体识别领域仍然面临挑战。光照条件的变化、遮挡以及相似物体的存在可能会妨碍准确识别。研究人员正在不断努力提高这些系统的鲁棒性，确保它们在多样化条件下可靠地执行。总之，物体识别是现代技术的一个基本方面，对各个行业具有深远的影响。它在自主驾驶车辆、机器人技术、安全系统和医疗保健中的应用表明了其在提高安全性、效率和准确性方面的重要性。随着技术的不断发展，物体识别的能力无疑会扩展，为解决复杂问题铺平道路。