Shivang Chaudhary
The project was designed as a cutting-edge solution for enhancing safety and efficiency in hazardous industrial environments, such as oil factories. Leveraging the powerful capabilities of OpenCV's object detection models (Faster R-CNN and SSD), the software enables real-time detection of machinery flaws, ensuring proactive maintenance and risk mitigation. To further enhance security, the software incorporates robust user authentication mechanisms, safeguarding its usage and sensitive data.
The program depends on the following Python libraries:
djitellopyopencv-pythontensorflowkivymd
- Clone the repository:
git clone <https://github.com/Shiv716/Recon_Bird_Package.git> - Install the required packages:
pip install djitellopy opencv-python tensorflow kivymd - Verify the installation:
pip list
To run the application, use the following command:
python main.py