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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-opencv-based-iot-using-raspberry-pi/
课程评论：没有评论
课程名称：基于OpenCV的树莓派物联网机器学习 课程概述： 本课程将深入探讨监督式机器学习与物联网（IoT）的结合应用，特别侧重于使用树莓派实现。与许多仅关注模拟数据的机器学习课程不同，本课程强调在真实世界场景中处理和利用实时数据的重要性，无论是来自传感器还是应用程序。 课程独特之处在于整合了监督式机器学习和物联网技术。该课程将以智能建筑自动化为例，展示如何结合这两种技术来创建实际应用，例如： * **智能家居自动化：** 根据是否有人存在来自动开关照明和控制温度。 * **自动考勤系统：** 通过员工的自动识别来标记出勤。 * **智能停车系统：** 识别空闲停车位。 * **车牌识别：** 自动识别车辆的车牌。 * **安防应用：** 识别有犯罪记录的人员。 * **更多创新应用** 这些应用的核心是将监督式学习技术与物联网集成，通过树莓派平台收集和处理实时数据。 此外，课程还将涵盖基于语音控制的物联网应用开发，利用树莓派、OpenCV、Google Assistant、Adafruit IO平台和IFTTT等开源软件和平台，构建更具交互性的物联网解决方案。 学习目标： * 掌握监督式机器学习的基本概念和应用。 * 理解物联网的基本原理和实现方式。 * 学习如何使用树莓派集成机器学习和物联网。 * 能够开发基于计算机视觉的物联网应用，如智能建筑自动化。 * 了解并实践如何构建语音控制的物联网应用。 本课程旨在帮助学员理解核心概念，并为他们提供探索和扩展到其他机器学习算法和物联网应用的能力，为迎接日益增长的物联网应用需求做好准备。
You will find course in Supervised machine learning course - OPEN CV generally for computer. But, hardly you will find an integrated course which covers Internet of things based on supervised machine learning output. In really, for machine learning in real time has no meaning when it works with simulated data. Getting real time data be in from Sensor or an Application, poses it own challenges and this is generally over looked while learning about machine learning.This unique covers covers both Supervised machine learning and Internet of things using Raspberry pi.There is a growing demand for these kind of application, For example:Building automation - Switch on Electrical device such as lighting and temperature control instrument when human being in present.Attendance marking based on automatically identification of an employee.Identify parking free parking lots.Identify number plate in car.Prevent Crime - Identify a person with criminal record.And many more.All these operate on combination of supervised learning technique coupled with IOT. Hence this course covers supervised learning coupled with IOT from a building building automation perspective. Once participants are clear about the concept they can then develop /extend it for other applications listed above or on the other machine learning algorithms.Additionally, voice control IOT application is also growing at a rapid pace. This course also covers topic related to building voice based IOT application using Raspberry pi and other open source software and platforms like OPEN CV, Google assistant, Adafruit IO platform, IFTTT.Happy learning!!!
