Sensor Interfacing and Signal Conditioning for Embedded Systems

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Course provided by Model Institute of Engineering & Technology

4 modules

Explore the fundamentals of Cyber Physical Systems

3-4 Level NCrF 

National Credit Framework

30 Hours 

Flexible Learning

Beginner Level 

No prior experience required

Certificate Program

01 Credits

Course Overview

This course provides learners with a solid foundation in sensor technologies and their integration with embedded systems. Students will explore the operating principles of thermal, rotary, and flow sensors, and gain hands-on experience in interfacing them with microcontrollers through proper circuit design. The course emphasizes signal conditioning using amplifiers and filters, along with methods to analyze and minimize noise in sensor signals. Learners will also develop skills in coding for sensor integration using C language and testing with measurement tools, preparing them for real-world applications in automation, robotics, and industrial monitoring.

Key Learning Highlights

  • Gain a strong understanding of thermal, rotary, and flow sensor principles.

  • Learn to interface analog sensors with microcontrollers through circuit design.

  • Apply signal conditioning techniques with amplifiers and filters for accurate data acquisition.

  • Analyze and reduce sensor signal noise to improve reliability.

  • Develop embedded C code for sensor integration and perform testing using measurement tools.

Tools & Platform Used

Learning Outcome

By the end of this course, learners will be able to:

  • Explain the operating principles of thermal, rotary, and flow sensors.

  • Design circuits to interface analog sensors with microcontrollers.

  • Apply amplifiers and filters for effective signal conditioning.

  • Evaluate sensor signals for noise and implement reduction strategies.

  • Integrate sensors into embedded platforms, write C-based programs, and validate performance using measurement tools.

Master the course with just 4 Modules

This course begins with an introduction to various types of sensors and their industrial applications, highlighting their role in measurement and control systems. Learners will then explore analog signal interfaces and techniques for integrating sensors with microcontrollers. The course further delves into the principles and working of thermal and rotary sensors, before covering essential concepts of signal conditioning, including filtering, amplification, and noise reduction strategies for reliable sensor performance.

Introduction to Sensor Types and Applications
  • Overview of thermal, rotary, and flow sensors in automation and control.
  • Industrial use cases of sensors in monitoring and feedback systems.
  • Classification of sensors based on measurement principles.
  • Techniques for connecting sensors to microcontrollers.
  • Circuit design considerations for accurate signal acquisition.
  • Practical interfacing with ADCs, DACs, and digital I/O.
  • Operating principles of thermal sensors (RTDs, thermocouples, thermistors).
  • Design and application of rotary sensors for position and speed measurement.
  • Calibration methods for accurate sensor output.

  • Role of amplifiers, filters, and converters in signal processing.

  • Methods for reducing sensor signal noise and distortion.

  • Real-world troubleshooting and optimization of sensor circuits.

Roles

  • Embedded Systems Engineer
  • Instrumentation Engineer
  • IoT Hardware Engineer
  • Control Systems Engineer
  • Electronics Design Engineer
  • Test & Validation Engineer
 
 

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