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Install Arduino IDE and ensure your microcontroller is connected.\n2. Open the Serial Monitor in Arduino IDE.\n3. Install OpenCV (`pip install opencv-python`) and configure your cameras.\n4. Run the traffic detection script.\n\n---\n\n## Prototype \u0026 Implementation\n\n**Example Frames:**\n\n| Clear View                      | Vehicle Detection (1)                 | Vehicle Detection (2)                 |\n| ------------------------------- | ------------------------------------- | ------------------------------------- |\n| ![Clear view](images/clear.jpg) | ![Deviation 1](images/deviation1.jpg) | ![Deviation 2](images/deviation2.jpg) |\n\n---\n\n## 📄 Documentation\n\n### Markdown Versions\n\n* [Project Info (English)](documentation/project-info_enUS.md)\n* [Project Info (Russian)](documentation/project-info_ruRU.md)\n* [Project Info (Turkmen)](documentation/project-info_tkTM.md)\n\n### DOCX Versions\n\n* [Smart Traffic (English)](documentation/SmartTraffic_enUS.docx)\n* [Smart Traffic (Russian)](documentation/SmartTraffic_ruRU.docx)\n* [Smart Traffic (Turkmen)](documentation/SmartTraffic_tkTM.docx)\n\n---\n\n## Features at a Glance\n\n* Real-time **vehicle counting** \u0026 **classification**\n* Dynamic **traffic light control** for smoother flow\n* **Pedestrian detection** to enhance crossing safety\n* Flexible **camera input configuration**\n* Works with **Arduino-based hardware integration**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmikebionic%2Ftrafficapp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmikebionic%2Ftrafficapp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmikebionic%2Ftrafficapp/lists"}