Machine learning - OpenCV based IOT using Raspberry pi

Machine learning - OpenCV based IOT using Raspberry pi

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:

1. Building automation - Switch on Electrical device such as lighting and temperature control instrument when human being in present.

2. Attendance marking based on automatically identification of an employee.

3. Identify parking free parking lots.

4. Identify number plate in car.

5. Prevent Crime - Identify a person with criminal record.

6. 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!!!

Learn about Supervised Learning (computer vision) with Internet of things. A unique course with growing industry demand.

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What you will learn

• Supervised learning using OPEN CV
• Internet of things using Raspberry Pi
• Configuring and acquiring data from sensor(s) by interfacing with Raspberry Pi

Rating: 3.95

Level: All Levels

Duration: 4 hours

Instructor: Guha Rajan M., B.Engg, MBA, PMP