Building a Smart Shoe for the Blind: IoT with GPS Tracking

Develop a smart shoe for the blind using Esp32, integrating ultrasonic distance sensing, GPS coordinates, and emergency push notifications via Gmail and SMS to the guardian.

Explore the ESP32 board, a low-cost, dual-core Wi-Fi and Bluetooth module enabling rapid IoT prototyping. Learn its security features, power management, peripherals (I2C, SPI, UART), and analog/digital capabilities.

Power the Esp32 within 2.2 to 3.6 volts with the onboard ldo regulator, providing a 3.3-volt supply for the circuit and sensors, with usb as power and vin.

Explore the ESP32 development board pinout and its power, gpio, pwm, adc, dac, touch sensors, and communication interfaces like i2c, spi, and serial.

Program the ESP32 with Arduino IDE, Micropython, or ESP-IDF. Explore form factors from development boards to modules and ICs for scalable IoT shoe projects.

Install the arduino ide by downloading the appropriate os version from the arduino home page, accept the license, and then write, compile, and upload programs to hardware boards.

Install the ESP32 Arduino core in the Arduino IDE by adding the ESP32 Board Manager URL, installing ESP32 from Boards Manager, and selecting ESP32 Dev Kit v1 for programming.

Blink an led using an esp32, a resistor, and breadboard connections to pin 25, then write a loop that turns the led on and off every second.

Explore how ultrasonic sensors detect objects and measure distance using echolocation and time of flight, including piezoelectric transducers and trigger and echo signals.

connect the ESP32 with the ultrasonic sensor on a breadboard, wire VCC to VIN, ground to ground, trigger to GPIO 5, and echo to GPIO 18, then measure distance.

Configure trigger and echo pins for ultrasonic sensor and measure distance from pulse duration. Convert to centimeters and inches with speed of sound and cm-to-inch conversion, and print results.

Understand how GPS receiver modules determine precise location via GNSS, trilateration, and time data, and how factors like PDOP, line-of-sight, and differential correction affect accuracy.

Interface a neo-6m GPS receiver with an ESP32 on a breadboard, wiring VCC to Vin, ground, and RX/TX lines to acquire location data for IoT tracking.

Acquire location data from a gps module by decoding with the tiny gps plus library, and read latitude and longitude via hardware serial on the esp32.

Understand the push button's anatomy and operation, including cap, actuator, spring, contacts, housing, and how normally open or closed configurations and pull up or pull down resistors influence gpio signals.

Learn to interface a two-pin push button with an Esp32 using a 10k resistor, breadboard wiring, and GPIO 15 for reading button values.

Explore reading values from a push button on the Esp32 with Arduino programming, using setup to configure pin modes and serial at 9600, and a loop to print states.

Explore how buzzers function as activators in IoT, distinguishing active and passive piezo buzzers, their oscillator or PWM requirements, and how they enable audible alerts for blind users.

Learn to interface a piezo buzzer with an ESP32, wire the anode to pin 22 and the cathode to ground on a breadboard, and control the buzzer with the microcontroller.

Learn to control a buzzer with an ESP32 using Arduino setup and loop routines, including pin mode, digitalWrite, serial monitor output, and 2-second on/off delays.

Explore three vibration motor types—coin vibration motor, brushless vibration motor, and linear resonant actuator—and highlight their design, applications, and performance for silent tactile alerts in IoT devices.

Connect the vibration motor to the ESP32 by wiring the motor's ground to ESP32 ground and its signal to GPIO 23, then learn basic motor control with the ESP32.

Learn to control a vibration motor with an ESP32 using Arduino basics, including setup and loop, pin modes, serial communication, and on/off timing via digitalWrite and delay.

Learn how to connect hardware to the blink IoT platform, remotely control devices, visualize data, and apply analytics and machine learning on cloud-stored data using blink apps, cloud, and libraries.

Create a Blynk cloud template with a pin data stream and label widget that turns green for zero and red otherwise, then configure events and notifications, Blink IoT app dashboards.