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I will create ai object detection and tracking system using yolo and computer vision
About this Gig
Looking for AI Object Detection, YOLO Object Detection, Object Tracking, Computer Vision, Vehicle Tracking, People Counting, or CCTV Analytics? You're in the right place!
I will develop a powerful AI-powered object detection and tracking system using YOLOv8, YOLOv9, OpenCV, Python, and TensorFlow. My solutions can detect, track, count, and analyze objects in real time from CCTV cameras, drones, webcams, IP cameras, and video streams.
Services include:
- Real-Time Object Detection
- Multi-Object Tracking
- Vehicle Detection & Counting
- People Counting Systems
- License Plate Recognition (ANPR/ALPR)
- CCTV Video Analytics
- Smart Parking Detection
- PPE Safety Monitoring
- Drone Object Tracking
- Custom YOLO Model Training
- AI Dashboard Development
Why choose me?
- High-Accuracy AI Models
- Fast Delivery
- Clean & Scalable Code
- Custom Dataset Training
- Deployment Support
- Detailed Documentation
- Professional Communication
I am Dimelias, not just another developer, but a problem solver who leverages AI to transform ideas into intelligent systems that matter.
Let's build a smart, reliable, and production-ready AI computer vision solution for your project!
FAQ
What AI technologies do you use
I use advanced AI and computer vision technologies such as YOLOv8, YOLOv9, OpenCV, Python, TensorFlow, PyTorch, DeepSORT, and ByteTrack.
Can your system work with CCTV cameras or IP cameras
Absolutely. The system can work with CCTV cameras, IP cameras, webcams, drones, and recorded video files.
Do you provide source code
Yes, all packages include clean and documented source code.
Can the AI system run in real time
Yes. I optimize systems for real-time performance depending on your hardware specifications.
Can you deploy the project on cloud or edge devices
Yes. I can deploy your solution on cloud servers, local systems, Jetson Nano, Raspberry Pi, or edge AI devices.
What do you need to start the project
I usually need your project requirements, sample videos/images, object classes to detect, and deployment preferences.
