Object Detector

Real-time object detection application with distance measurement using webcam.

Features

• Real-time object detection (80+ classes)
• Face and eye detection
• Distance estimation to objects
• Object tracking between frames
• Unknown object detection
• FPS counter and performance stats

Technologies Used

• Python - Main programming language
• OpenCV - Computer vision and camera processing
• YOLOv8 - Deep learning object detection
• Ultralytics - YOLO model integration
• Haar Cascades - Face and eye detection

Installation

1. Clone the repository

git clone https://github.com/yourusername/object-detector.git
cd object-detector

2. Install dependencies

pip install -r requirements.txt

3. Run the application

python detector.py

Detection Capabilities

YOLO Objects (80+ classes):

People, animals, vehicles

Household items, electronics

Food, sports equipment

OpenCV Detection:

Faces

Eyes (within detected faces)

Output Information

For each detected object:

Object name and confidence level

Bounding box coordinates

Distance from camera (in meters)

Requirements

Python 3.7+

Webcam

2GB+ RAM

Windows/Linux/macOS