Embedded System with Robotics & IoT

Understand basic embedded systems

1. Embedded System definition, characteristics, applications, embedded vs general-purpose computer, real-time systemsvideo
2. Identify Arduino Uno, ESP32, Raspberry Pi, sensors and componentslab
3. Prepare an Embedded System block diagramlab

Select suitable controller for a project

1. MCU, MPU, CPU, RAM, ROM, Flash, GPIO, ADC, PWM, timersvideo
2. Compare Arduino Uno, ESP32 and Raspberry Pilab
3. Prepare comparison tablelab

Perform basic electrical measurements

1. Voltage, current, resistance, power, Ohm's law, series and parallel circuitsvideo
2. Use multimeter; measure voltage, resistance and continuitylab
3. Calculate resistance using Ohm's lawlab

Understand basic components

1. Resistor, capacitor, diode, LED, transistor, relay, switch, buzzervideo
2. Identify components and build LED, buzzer and switch circuitslab
3. Build LED ON/OFF circuitlab

Understand sensors and actuators

1. Digital/analog sensors, temperature, light, motion, distance; actuatorsvideo
2. Identify and test IR, ultrasonic, PIR, LDR, DHT11, soil moisture, MQ-2, servo, motor, relay, buzzerlab
3. Prepare sensor/actuator classificationlab

Set up Arduino development environment

1. Arduino Uno architecture, digital/analog pins, power pins, USB, ATmega328Pvideo
2. Identify Arduino Uno, install Arduino IDE, connect boardlab
3. Upload first Arduino programlab

Understand Arduino Embedded C/C++ basics

1. Arduino sketch, setup(), loop(), variables, data types, constants, operatorsvideo
2. Write basic Arduino programslab
3. Create addition, subtraction, multiplication and division programslab

Use programming logic

1. if, if-else, nested conditions, for, while, do-whilevideo
2. LED control using conditions and loopslab
3. Create conditional LED controllab

Control digital devices

1. Digital input/output, digitalRead(), digitalWrite(), push button, LEDvideo
2. LED blinking, push button, multiple LEDs, toggle switchlab
3. Build push-button LED controllab

Use analog sensors and PWM

1. Analog input, ADC, PWM, analogRead(), analogWrite()video
2. LDR, potentiometer and LED brightness controllab
3. Control LED brightness using potentiometerlab

Use serial communication

1. UART, Serial Monitor, baud rate, TX/RXvideo
2. Print sensor values and receive commandslab
3. Control LED using Serial Monitorlab

Write modular Arduino programs

1. Functions, parameters, return values, code reuse, modular programmingvideo
2. Create functions for LED, buzzer, motor and sensorlab
3. Build menu-based serial programlab

Control servo actuators

1. Servo motor, SG90, servo angle, PWM, Servo libraryvideo
2. Control servo at 0°, 45°, 90° and 180°; potentiometer controllab
3. Control servo using potentiometerlab

Measure distance and detect objects

1. HC-SR04, trigger, echo, distance measurement, time-of-flightvideo
2. Measure distance and detect objectslab
3. Create ultrasonic distance meterlab

Integrate multiple sensors

1. IR object detection, PIR motion detection, LDR analog sensingvideo
2. Object detection, motion detection and automatic lightinglab
3. Create motion detection alarmlab

Display real-time sensor information

1. 16x2 LCD, I2C LCD, SDA, SCL, LCD libraryvideo
2. Display text, sensor values, distance and statuslab
3. Build digital sensor monitorlab

Control DC motors

1. DC motor, gear motor, L298N, direction and PWM speed controlvideo
2. Forward, reverse, stop and speed controllab
3. Build motor-control circuitlab

Implement basic automation

1. Relay, NO, NC, COM, isolation, appliance control conceptsvideo
2. Relay ON/OFF with Arduinolab
3. Build automatic switching systemlab

Use hardware communication protocols

1. UART, I2C, SPI, master/slave, sensor communicationvideo
2. I2C LCD, I2C sensor, SPI device, UART communicationlab
3. Connect multiple devices using I2Clab

Complete an Arduino mini project

1. Requirement analysis, block diagram, circuit, programming, testingvideo
2. Develop Smart Dustbin, Smart Parking, Automatic Gate, Smart Street Light or Temperature Monitorproject
3. Complete mini projectproject

Understand ESP32 platform

1. ESP32 architecture, GPIO, ADC, PWM, Wi-Fi, Bluetooth, touch sensorvideo
2. ESP32 setup, GPIO and LED controllab
3. Create ESP32 LED controllab

Program ESP32 for embedded applications

1. GPIO, ADC, PWM, Serial, functions, sensor interfacevideo
2. LED, button, LDR and servo with ESP32lab
3. Build ESP32 sensor systemlab

Connect embedded device to network

1. Wi-Fi, SSID, password, IP address, client, access pointvideo
2. Connect ESP32 to Wi-Fi and scan networkslab
3. Create ESP32 Wi-Fi connectionlab

Build basic web-enabled IoT device

1. Web server, HTTP, HTML, IP address, GET requestvideo
2. ESP32 web server, web LED control and sensor displaylab
3. Control LED from mobile browserlab

Set up MicroPython development

1. Python vs MicroPython, MicroPython firmware, Thonny IDE, REPLvideo
2. Install MicroPython, flash ESP32, connect Thonny, run first programlab
3. ESP32 LED blinking using MicroPythonlab

Program ESP32 using MicroPython

1. Variables, data types, conditions, loops, functions, modulesvideo
2. LED, button, buzzer and conditional controllab
3. Build button-based automationlab

Interface sensors and actuators in MicroPython

1. GPIO, PWM, ADC, sensor reading, servovideo
2. LDR, potentiometer, servo and buzzerlab
3. Control servo based on sensor valuelab

Use MicroPython communication interfaces

1. I2C, UART, SPI, LCD, sensor modulesvideo
2. I2C LCD, UART communication and sensor displaylab
3. Create I2C sensor monitorlab

Understand IoT architecture

1. IoT definition, architecture, device/network/cloud/application layersvideo
2. Connect ESP32 to Internetlab
3. Draw complete IoT architecturelab

Use IoT communication protocols

1. MQTT, HTTP, broker, publisher, subscriber, topics, REST APIvideo
2. MQTT publish/subscribe and HTTP requestlab
3. Send sensor data using MQTTlab

Monitor data remotely

1. Cloud platform, dashboard, data logging, remote monitoring and device controlvideo
2. Create dashboard and send ESP32 sensor datalab
3. Create remote monitoring systemlab

Implement remote IoT control

1. Remote device control, digital control, sensor monitoring, mobile/web controlvideo
2. Remote LED, relay, fan and servo controllab
3. Control three devices remotelylab

Implement event-based IoT automation

1. Automation rules, thresholds, notifications, event detection, data loggingvideo
2. Temperature, motion and gas alerts; threshold automationlab
3. Build automatic alert systemlab

Understand basic IoT security

1. Authentication, passwords, API keys, secure communication, device security, data privacyvideo
2. Basic secure device access and authentication conceptslab
3. Create secure access demonstrationlab

Build an integrated IoT project

1. Hardware, software, cloud, dashboard and testingvideo
2. Smart Home, Smart Agriculture, Weather Monitoring, Energy Meter or IoT Security Systemproject
3. Complete IoT mini projectproject

Set up Raspberry Pi

1. Raspberry Pi architecture, Raspberry Pi OS, GPIO, USB, HDMI, networking, storagevideo
2. Install/configure Raspberry Pi OS, network and GPIOlab
3. GPIO testlab

Program Raspberry Pi with Python

1. Linux commands, terminal, Python, GPIO, libraries, file systemvideo
2. Python LED, button, buzzer and relay controllab
3. Create Python GPIO automationlab

Interface sensors and motors

1. Sensors, motor driver, DC motor, servo, ultrasonic, IRvideo
2. Ultrasonic, motor driver, servo and sensor readinglab
3. Create Raspberry Pi motor-control systemlab

Understand robot architecture

1. Robot types, architecture, sensors, actuators, motors, controllers, power supplyvideo
2. Assemble robot chassis, motors and sensorslab
3. Prepare complete robot block diagramlab

Build autonomous obstacle-avoiding robot

1. Ultrasonic sensing, motor driver, navigation, obstacle detection, decision makingvideo
2. Build obstacle-avoiding robot with forward, stop, left, right and reverselab
3. Implement obstacle avoidancelab

Build basic autonomous line follower

1. IR sensors, line detection, motor control, navigation algorithmvideo
2. Build line-following robotlab
3. Configure left/right sensors and motorslab

Integrate Raspberry Pi into robotics

1. Raspberry Pi robot, Python motor control, multiple sensors, autonomous navigation, wireless controlvideo
2. Build Raspberry Pi robot and control with Pythonlab
3. Implement autonomous obstacle avoidancelab

Understand intelligent/vision-based robotics

1. Pi Camera, OpenCV, image processing, object detection, human detection, computer vision basicsvideo
2. Camera capture, image processing and basic object detectionlab
3. Use camera input for robot decision-makinglab

Integrate complete project

1. Requirement analysis, hardware/software integration, debugging, testing, documentationvideo
2. Assemble hardware, upload code, connect sensors, test communication, debug and integrateproject
3. Complete final project integrationproject

Demonstrate and defend final project

1. Project presentation, viva, documentation, results, applications, future scopevideo
2. Final hardware/software demonstration and vivaproject
3. Demonstrate complete projectproject