Project Hub /Audio Displays & Interactive Media/LED Matrix & Cube Displays/KinoVision - Where Visual Sensing Meets Motion-Driven Control
KinoVision - Where Visual Sensing Meets Motion-Driven Control
Intermediate
ESP32
₹5,000 – ₹15,000
6 – 12 Hours
Partial Kit

KinoVision - Where Visual Sensing Meets Motion-Driven Control

KinoVision is a wearable, gesture-controlled smart home automation system that lets users turn appliances ON or OFF using natural hand gestures and a vision pendant.

Originally published on CircuitDigest
View original tutorial
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Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

We don't carry yet: Bio / Health Sensor (GSR / ECG / breathing)

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How It Works

Why Build This

Develop advanced undergraduate-level proficiency in IoT system integration by combining computer vision pendants, motion tracking, and cloud-based MQTT broker communication.
Design assistive technology prototypes aimed at improving accessibility and touchless interaction for individuals with limited mobility.
Gain hands-on engineering experience in safely bridging low-voltage microcontroller logic with high-voltage AC appliance control using electromechanical relays.

Real-World Application

Touchless smart home control, assistive technology for individuals with limited mobility, and prototype systems for future augmented reality (AR) smart home interfaces.

Skills You'll Learn

Computer vision integration
IMU motion tracking
MQTT broker communication
wireless IoT protocol implementation
relay-based AC power switching
power management with LiPo batteries
embedded system firmware development

Safety Precautions

Ensure correct polarity when connecting the 3.7V LiPo battery. Exercise extreme caution when working with AC mains voltage connected to the relay module to avoid electric shock.

Technology Tags

ESP-NOW
MQTT
AI VISION
MPU6050
IMU
ADAFRUIT MEMENTO
RELAY MODULE
CIRCUITPYTHON
ARDUINO C++
SMART HOME AUTOMATION

Frequently Asked Questions

No, the project specifically requires 3.7V LiPo batteries to provide the correct rechargeable voltage and current profile needed to power the ESP32 boards and portable sensors safely.
The components utilize onboard processing and wireless connectivity features of the ESP32 boards to transmit sensor and vision data, often routing commands through the Adafruit IO MQTT broker.
Working with AC mains voltage carries a severe risk of electric shock and should only be attempted if you strictly follow proper electrical safety protocols or supervise the setup with an experienced mentor.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

Kitkraft Project Hub — curated from the maker community, credited at the source.
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