I will build smart parking slot detection system using yolov11


Sobre este Serviço
I will develop an AI-powered Car Parking Space Detector using YOLOv11, Python, and OpenCV to accurately detect available and occupied parking slots in real time.
What this system offers:
- Detects vehicles in parking areas with high accuracy
- Identifies available vs. occupied parking slots using polygon mapping
- Real-time slot counting and visual overlays
- Works with both recorded videos and live camera feeds
- Fully optimized for smart city, mall, airport, and corporate parking systems
Whether youre building a smart parking solution, an academic research project, or an IoT-enabled parking management system, I will deliver a fully functional, well-documented, and performance-optimized solution tailored to your needs.
Conheça mais sobre Faisalkhan
Computer Vision AI Expert
- A partir dePaquistão
- Membro desdejul. de 2025
- Última entrega10 meses
Idiomas
Inglês, Urdu, Árabe
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Perguntas frequentes
Q1: What do I need to provide to get started?
Please provide either a recorded video of your parking area or access to a live camera feed, along with the number and layout of parking slots you want monitored.
Q2: Will the system work in real-time?
Yes. The YOLOv11-based system is optimized for real-time performance. Processing speed will depend on your computer’s specifications and camera resolution.
Q3: Can I use this for multiple parking locations?
Yes. The system can be adapted for multiple parking areas and even combined into a single dashboard for centralized monitoring
Q4: Can this integrate with my existing parking management system?
Absolutely. I can provide API or data export functionality to integrate with your existing software upon request.
Q5: Will you set up the parking slot mapping for me?
Yes. I will create a custom polygon mapping for your parking layout based on the video or camera feed you provide.

