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I will build real time object detection and tracking with yolov8 for cctv
Hasnat Ahmad
About this gig
Need real-time object detection and tracking for CCTV, RTSP streams, videos, or custom datasets?
I build YOLOv8 computer vision systems for reliable detection, multi-object tracking, counting, and video analytics.
What I can build:
- Real-time YOLOv8 object detection
- Multi-object tracking with ByteTrack / DeepSORT
- CCTV and RTSP camera integration
- Vehicle and people detection & counting
- Line-crossing and ROI/zone analytics
- Custom YOLO model training
- Performance optimization for CPU/GPU
- Python + OpenCV solutions
- FastAPI, Docker, ONNX/TensorRT deployment
You can receive complete source code, trained model weights, setup instructions, and deployment support depending on your package.
Ideal for CCTV surveillance, traffic monitoring, retail analytics, warehouse monitoring, industrial inspection, and custom computer vision applications.
Before ordering, send me your sample video/dataset, target objects, camera or hardware details, and required features. I'll recommend the right package for your project.
Get to know Hasnat Ahmad
Hasnat Ahmad
Your Web Development Expert
- FromPakistan
- Member sinceMar 2021
Languages
English, Urdu, French, Arabic
Hi there! I'm Hasnat Ahmad, a Computer Vision & Deep Learning Engineer specialized in building production-ready AI solutions for businesses and startups.
My expertise spans real-time object tracking (YOLO/OpenCV), Document AI & OCR, custom segmentation (PyTorch/TensorFlow), MediaPipe pose tracking, and deploying end-to-end web apps (FastAPI/Streamlit/Docker) or edge devices (Jetson/Raspberry Pi).
I deliver fast, robust, and highly accurate AI systems customized to your exact commercial goals with zero technical hassle.
Explore my gigs or send me a message to discuss your project today!
My Portfolio
FAQ
Can you integrate YOLO with CCTV or RTSP cameras?
Yes. I can integrate YOLO-based detection and tracking with compatible CCTV, IP camera, RTSP, webcam, and video inputs. The exact implementation depends on your camera stream and hardware.
Can you train YOLO on my custom dataset?
Yes. I can train or fine-tune a YOLO model using your custom dataset and objects. Dataset quality and quantity affect the final model performance.
Can you track multiple objects at the same time?
Yes. I can implement multi-object tracking using methods such as ByteTrack or DeepSORT, including persistent tracking IDs.
Can you count people or vehicles?
Yes. I can implement people/vehicle counting, line-crossing detection, ROI-based analytics, and other custom counting requirements.
Can the system run in real time?
Yes. I optimize the pipeline according to your input resolution, camera count, model size, and available CPU/GPU hardware. Actual FPS depends on the complete system configuration.
Will I receive the source code?
Yes. Source code and setup documentation are included according to the selected package.
Do I need to provide a dataset?
Not always. Basic detection can use a pretrained model. Custom object detection generally requires suitable training data.
