Real-time Car Occupant Detection and Counting System

This system is a real-time car occupant detection and counting system, which is developed using OpenCV and Qt. It utilizes IP-cameras for video capture and model training. The system includes an end-user interface and uses a relational data model for data storage.

Demo

You can check out the demo here.

Pre-requisites

• NVIDIA GPU (CUDA compatible)
• Qt

Installation

Step 1: Install CUDA

CUDA can be installed by following the instructions on the official NVIDIA page.

Step 2: Install NVIDIA Video Codec SDK

The NVIDIA Video Codec SDK can be obtained from the official NVIDIA website. Follow the instructions provided for installation.

Step 3: Install Qt

You can download and install Qt from their official website.

Building from source

After installing the above dependencies, you can build the project from source by following these steps:

1. Clone the repository:

git clone https://github.com/pouya1991/FaceIdentifier.git

2. Navigate into the project directory:

cd FaceIdentifier

3. Build the project using Qt:

qmake FaceIdentifier.pro
make

Usage

After successfully building the project, you can run the application.

Please refer to the user manual for detailed instructions on how to use the system.