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Educational Technology
CARIMO's educational technology portfolio includes hands-on learning kits and intelligent tutoring systems designed to bridge the gap between theoretical knowledge and practical application in engineering and science education.
Educational Kits: DC Motor Kit
Discover the legacy of excellence embodied by our flagship DC Motor Kit, revolutionizing control systems education for over 15 years. Born at IIT Bombay, this versatile system offers hands-on exploration of control principles, system identification, and practical execution. Affordable, portable, with interactive software featuring a runtime engine and MATLAB/SIMULINK interface. Now accessible on the Government e-Marketplace (GeM).
DC Motor Kit Components
DC Motor with Encoder
High-quality DC motor with an integrated encoder for precise control
Embedded Interface
Advanced embedded interface for seamless communication and control
Driver Circuitry
Robust driver circuitry for reliable motor operation
The DC Motor Kit
Bridging Theory and Practice in Control Systems Education
DC Motor Kit
1
Classroom Tested
Used in classroom teaching for control systems at IIT Bombay for over 15 years
2
Portable and Affordable
Low-cost, highly portable kit creating real-world plant experience for students
3
Interactive Software
Interactive front-end software for implementing control algorithms
4
Make-in-India Initiative
Developed under the MHRD Virtual labs project, aligning with Make-in-India initiative
15+
Years of Use
Designed at IIT Bombay and used for over 15 years
20+
Institutions
Successfully deployed in numerous top institutions across India
10+
Control Strategies
From basic to advanced (P, PI, PID, Classical, Modern, MPC, Robust)
DC Motor Kit Applications
1
Speed and Position Control
Control speed and position under variable loads
2
Traditional Control
Implement P, PI, and PID control strategies
3
Advanced Control Techniques
Explore Classical Control, Modern Control, Model Predictive Control, and Robust Control
4
System Identification
Perform system identification experiments
DC Motor Kit Technical Specifications
DC Motor Kit Experiments
A bundle of seven interactive control experiments is provided as a software package, including:
1
Transfer Function Analysis
Finding and validating the motor speed transfer function
2
Speed Control
Setpoint tracking for speed control (PI), Disturbance rejection for speed control (PI), Effects of setpoint weighting for speed control (PI), Effects of integrator anti-windup for speed control (PI)
3
Position Control
Finding and validating a motor position transfer function, PID controller tuning for motor position control (PID)
Educational Kits: Machine Learning Kit
Our Machine Learning Kit is an innovative system designed to bridge the gap between theoretical knowledge and practical application in the field of machine learning. This versatile, compact kit empowers users to generate their own real-world data from multiple sensors, providing a unique hands-on platform for applying theoretical concepts to actual datasets.
Real-World Data Generation
Generate speed, current, voltage, and 3-axis vibration data from a DC motor
Interactive Software
Explore ML techniques using our highly interactive and visual software - no coding required
Comprehensive Learning
Comprehensive learning experience covering the entire machine learning workflow
Versatile Application
Suitable for faculty, undergraduate and postgraduate students, and professionals in any engineering discipline
Machine Learning Kit
Hardware Platform
An innovative, compact system enabling users to generate real-world data (speed, current, voltage, 3-axis vibration) from a DC motor for practical ML application.
Interactive Software
Features a highly visual platform covering the entire ML workflow (data collection, preprocessing, EDA, feature engineering, model development) – no coding required.
Broad Accessibility
Suitable for students and professionals across engineering disciplines, launching soon on the Government e-Marketplace (GeM) in summer of 2025.
Machine Learning Kit Components
Sensor-Equipped DC Motor
DC motor with Quadrature encoder, Current sensor, and MEMS Vibration sensor (3-axis)
Interface and Circuitry
Embedded interface & Driver circuitry for seamless data collection
Interactive Software
Interactive front-end software for data collection and highly visual machine learning software for data analysis and model development
The ML Kit
Transforming AI Theory into Tangible Experience
Machine Learning Kit Learning Objectives
1
1
Data Collection and Preprocessing
Gain practical experience in gathering real-time data from multiple sensors, learning crucial skills in data collection, cleaning, and preprocessing.
2
2
Exploratory Data Analysis
Conduct in-depth exploration of collected data through various visualization techniques, developing critical data interpretation skills.
3
3
Feature Engineering
Learn to identify, create, and select relevant features from raw data, a crucial step in developing effective ML models.
4
4
Model Development and Evaluation
Apply various machine learning algorithms, from basic regression to advanced clustering and classification techniques. Build, train, and evaluate models using your own data.
5
5
Real-world Problem Solving
Tackle realistic scenarios using actual sensor data, bridging the gap between theoretical knowledge and practical application of machine learning.
6
6
Algorithm Comparison
Easily compare different ML algorithms on the same dataset, gaining insights into algorithm selection and performance evaluation.
Intelligent Tutoring Systems
Currently under development, our Intelligent Tutoring Systems leverage our Agentic RAG expertise to create on-demand, personalized guidance for engineering and science subjects. These systems will potentially integrate with our educational kits to provide a comprehensive learning experience with real-time feedback and adaptive content.
Engineering Subjects
Primary focus area representing 40% of our development efforts, covering control systems, robotics, and electrical engineering fundamentals.
Science Education
Comprises 25% of our tutoring systems development, featuring interactive simulations and virtual experiments for physics and chemistry.
Kit Integration
20% of development focused on seamless integration with our educational hardware, enabling hands-on learning enhanced by digital guidance.
Personalized Learning
15% dedicated to adaptive content and customized learning paths that respond to individual student progress and learning styles.
Our Impact
CARIMO's educational kits have been successfully deployed in top institutions across India, including:
IIT Bombay
Manipal Inst. of Technology
NIT Trichy
NIT Calicut
IIIT Kurnool
NMAMIT, NITTE