IoT-Based Object Recognition with ESP8266 and Flask

Create an IoT system using Wemoss (ESP8266) to recognize objects and take actions based on the results.

️ Workflow:

1️⃣ Image Capture & Recognition:

Used my laptop or smartphone camera to capture images.

Implemented YOLOv5 (a pre-trained object detection model) for image recognition on my laptop.

Saved results in a JSON format.

2️⃣ Flask Server Hosting:

Set up a local Flask server to host the JSON file containing recognition results.

Made it accessible to the ESP8266 via HTTP.

3️⃣ ESP8266 Integration:

Configured the ESP8266 to fetch JSON data from the Flask server.

Parsed the JSON to identify detected objects and triggered IoT actions (e.g., turning on an LED if a specific object like a "cat" was detected).

Key Features:

Scalable Architecture: Easily extendable to other IoT devices or cloud-based APIs.

Efficient Communication: ESP8266 dynamically fetches and acts on the recognition results.

Real-Time Processing: Leveraged the power of YOLOv5 for accurate and fast object detection.

Tools & Technologies Used:

ESP8266/Wemoss

Python (Flask, OpenCV, PyTorch)

YOLOv5 for Object Detection

ArduinoJson for ESP8266 Parsing

Outcome:

A fully functional IoT-based object recognition system that bridges AI and IoT seamlessly!

Built using free or open-source tools, making it highly cost-effective and accessible.