Project Hub /Artificial Intelligence & Edge ML/Object Detection & Tracking/Smart Car Washing System Using Edge Impulse for Object Detection
Smart Car Washing System Using Edge Impulse for Object Detection
Intermediate
ARDUINO
Project Specific
6 – 12 Hours
Partial Kit

Smart Car Washing System Using Edge Impulse for Object Detection

An automated smart car washing system utilizing an ESP32-CAM and Edge Impulse for AI-powered human detection, ensuring operational safety and optimized water usage.

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.

This list includes a generic resistor set as a placeholder — it is not matched to the exact value or part number this circuit needs. The correct one is specified on the original source page linked above; check it before buying.

We don't carry yet: Arduino Uno R4 / Minima
Water Pump / Valve
Thyristor / SCR / Triac / Varistor / Fuse
Screws / Nuts / Standoffs / Hardware
Pipes / Tubing / Hose / Fittings
Optocoupler (PC817 / 4N35)
10mm Fiber Glass
Toy Car

Browse all components

How It Works

Why Build This

Gain hands-on engineering experience integrating embedded computer vision models trained in Edge Impulse directly onto microcontroller hardware like the ESP32-CAM.
Design and assemble a closed-loop mechatronic system combining stepper motor linear actuation, relay-driven fluid pumping, and sensor-based safety interlocks.
Explore sustainable engineering applications by developing resource-efficient automated systems relevant to modern commercial water management and eco-friendly vehicle washing.

Real-World Application

Automated and eco-friendly vehicle washing facilities, commercial car wash safety enhancement, and resource-efficient water management systems.

Skills You'll Learn

Edge AI model deployment
Embedded computer vision
Stepper motor control with A4988 drivers
Relay module interfacing
Optocoupler signal isolation
Limit switch homing logic
DC water pump control

Safety Precautions

Includes an emergency stop feature utilizing AI human detection and a loud buzzer to immediately halt mechanical movement and prevent accidents if a person enters the washing zone.

Technology Tags

EDGE AI
MACHINE LEARNING
EDGE IMPULSE
OBJECT DETECTION
ESP32-CAM
ARDUINO
STEPPER MOTOR
AUTOMATION
COMPUTER VISION

Frequently Asked Questions

The ESP32-CAM runs an object detection model locally on its own processor using Edge Impulse, meaning all inference happens at the edge without requiring an active internet connection.
The optocouplers provide electrical isolation between different sections of the circuit, protecting sensitive microcontroller pins from voltage spikes and electrical noise generated by inductive components like the relay, pump, and motor driver.
The project specifically relies on the designated microcontrollers and pin mappings defined in the architecture; substituting boards would require rewriting the serial communication and control logic between the ESP32-CAM and the main controller.

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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