IoT & Hardware Automation

Automated Smart Blinds System

A smart blinds system featuring voice control, automation, and custom hardware integration.

Role

Solo Hardware & Embedded Engineer

Environment

ESP32 Ecosystem & Local Server Network

Tech Stack

ESP32 FirmwarePythonFlaskSinric Pro APIAlexa Smart Home3D Printing / CAD

Gallery

The Challenge

I often sleep through regular audio alarms, so I wanted to build something that could use the morning sunlight to help wake me up instead. I decided to create my own hands-free automation system.


The Solution

I engineered a fully autonomous smart blinds setup powered by an ESP32 microcontroller connected to a precision stepper motor. The motor assembly was securely mounted into a custom 3D-printed housing with integrated bearings sourced from Thingiverse.

By leveraging Sinric Pro, I bridged the ESP32 directly into the Amazon Alexa ecosystem and mobile app. This configuration allowed me to pass granular state commands, meaning the blinds could be set smoothly to exact custom percentages instead of simple binary open and close limits.


System Architecture

How the smart blinds system manages mechanical sweeps, voice endpoints, and remote synchronization pipelines.

01 Voice Assistant & App Command Routing

When a user issues an Alexa command or interacts with the mobile slider interface, Sinric Pro broadcasts a secure WebSocket event down to the ESP32 microcontroller listening on the local Wi-Fi network.

02 Firmware Traversal & Stepper Motor Actuation

The ESP32 translates target percentage payloads into explicit mechanical signals. It fires step sequences across a dedicated driver to spin the stepper motor nestled inside the custom 3D-printed bearing rig.

03 Persistent State Storage

Current rotation and position data are stored locally on the ESP32 using Preferences, allowing the system to restore its state after power loss or restarts.


Technical Hurdles

Stepper Motor Torque Constraints: During testing, I hit a mechanical roadblock: I opted for a cheaper and lighter stepper motor to keep the build compact and budget-friendly, but it lacked the raw, out-of-the-box strength required to lift and rotate the heavy blind mechanism.

To solve this without upgrading to an expensive, bulky motor, I sourced a clever 3D-printed housing design featuring an integrated gear reduction system. By connecting the motor's small drive gear to a much larger gear assembly, the setup leverages mechanical advantage to drastically multiply the physical torque output.

To complement this physical gear advantage, I modified the ESP32 firmware to reduce the motor's operational speed. In stepper motor physics, slowing down the step pulse frequency allows the coils to fully energize, maximizing holding and driving torque. While the blinds open and close quite slowly, this dual hardware-software workaround successfully allowed a budget component to reliably get the job done.


Impact & Results

Voice Connected

Bridges custom DIY mechanical components directly into modern consumer ecosystems like Alexa.

Decoupled State

Safely isolated volatile micro-stepping track states using an external Python API pipeline.

Natural Routine

Automated the physical workspace based on sunrise and sunset clocks for zero-friction morning routines.


Skills Gained & Applied

IoT & Embedded Firmware Programmed ESP32 microcontrollers to parse network packets and execute low-level stepper driver signals.
Hardware Integration Assembled operational microelectronics with physical 3D-printed structural mechanical units.
Firmware Development Developed the ESP32 firmware to save positional data locally and improve motor performance through software tuning.
Mechanical Design Designed a 3D-printed gear reduction system and supporting control software to help a low-power motor reliably operate the blinds.