⭐ AI + Computer Vision

🧠 Advanced Robotics

Raspberry Pi + Python + AI

Build AI-powered robots with computer vision, voice control, and autonomous navigation.

📅 20 Sessions · 40 Hours👤 Ages 12–18💻 Python🔧 Raspberry Pi 4👥 Max 12 students📊 Advanced Level
₹12,000
Full program fee
✅ 20 Sessions · 40 Hours
✅ Ages 12–18
✅ Max 12 students
✅ Certificate of Completion
✅ All components & materials
✅ Project portfolio
✅ Demo Day for parents
✅ Starts April 28, 2026
Register Now
📞 83743 77311 · Limited seats

About This Course

The flagship program. Students use Raspberry Pi 4 and Python to build robots that see, listen, speak, and think. From YOLO object detection to voice commands to autonomous navigation — this is university-level AI robotics adapted for students ages 12–18.

What You'll Get

✓Raspberry Pi 4 kit included
✓YOLO real-time object detection
✓Face recognition security system
✓Voice-controlled robot
✓Autonomous navigation with obstacle avoidance
✓OpenCV computer vision
✓TensorFlow Lite on-device AI
✓ROS (Robot Operating System) intro

📅 Course Curriculum

20 sessions · 20 Sessions · 40 Hours

D1
Raspberry Pi Setup & Linux Basics
Install Raspbian. Linux terminal. Python on Pi. GPIO introduction.
D2
Python Fundamentals for Robotics
Variables, lists, dicts. Functions. Classes intro. RPi.GPIO library.
D3
GPIO Control & Sensors
Digital I/O with RPi.GPIO. PWM for motors. Read sensors via Python.
D4
Pi Camera & OpenCV Setup
PiCamera2 library. Capture frames. OpenCV installation. First image processing.
D5
Color Detection Robot
HSV color space. Create color mask. Detect colored objects. Robot tracks ball.
D6
Face Detection (Haar Cascades)
cv2.CascadeClassifier. Detect faces in live video. Draw bounding boxes.
D7
Face Recognition
face_recognition library. Encode known faces. Recognize and name in real-time.
D8
YOLO Object Detection
YOLOv8 on Raspberry Pi. Detect 80 classes. Performance optimisation.
D9
Voice Command Control
SpeechRecognition library. Google STT API. Map commands to robot actions.
D10
Text-to-Speech Robot
pyttsx3 / gTTS. Robot speaks status messages. Conversational feedback.
D11
Ultrasonic + Pi Navigation
RPi + Arduino serial bridge. Sensor fusion. Autonomous obstacle avoidance.
D12
Autonomous Room Navigation
Mapping rooms with ultrasonic sweeps. Path planning logic. Navigate without hitting walls.
D13
Robot Data Analytics
NumPy + pandas on Pi. Log sensor data. Matplotlib graphs on screen.
D14
ML Gesture Control
Collect gesture image dataset. Train KNN classifier. Control robot with gestures.
D15
TensorFlow Lite on Pi
TFLite runtime. Convert Keras model. Real-time inference on Pi camera.
D16
Full AI Robot Integration
Combine vision + voice + navigation. AI decision pipeline. End-to-end system.
D17
ROS Introduction
Robot Operating System basics. Nodes and topics. First ROS node in Python.
D18
Capstone Project Design
Define AI robot project. Architecture diagram. Hardware list. Mentor approval.
D19
Capstone Build & Integration
Full build. AI model deployment. System testing and optimisation.
D20
Demo Day & Certificate
Present AI robot to parents and judges. Live demo. Certificate of Advanced Robotics.

🏗️ Projects You'll Build

9 hands-on projects — from Day 1

👁️
Object Detection Robot
YOLO detects 80 object classes.
🧑
Face Recognition
Unlock system by recognizing faces.
🎤
Voice Robot
Control robot by speaking commands.
🗺️
Autonomous Navigator
Robot navigates rooms by itself.
✋
Gesture Control
ML model recognizes hand gestures.
⚡
TFLite AI Bot
Edge AI inference on Pi.
📹
Camera Surveillance
Motion-triggered recording system.
🎨
Color-Following Robot
Robot tracks a colored object.
📊
Data Analytics Robot
Robot logs and visualises sensor data.

Frequently Asked Questions

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Ready to join Advanced Robotics?

Limited to max 12 students. Starts April 28, 2026.

Enroll for ₹12,000 →📞 83743 77311

All programs · 20 sessions · 2 hrs/day · Certificate included · Above Agarwal Bhavan, Chambenhalli Sarjapura Road, Bangalore