I will build a real time object detection system using yolo for people, vehicles,object
Object Detection, YOLOv8, OpenCV, Pose Estimation, Mediapipe, OpenPose, Software
About this Gig
Need an ultra-fast, real-time object detection system? I will build a custom object detection engine utilizing state-of-the-art YOLO architectures to instantly identify people, vehicles, or any unique custom classes you require. This service is optimized for live video feeds, security systems, and high-speed automated environments.
I specialize in configuring and custom-training models to operate with low inference latency and high accuracy. I can optimize the pipeline to process video files, RTSP IP camera streams, or live webcam inputs while managing hardware resource consumption.
What I offer: full data pipeline setup, hyperparameter optimization for live object detection, multi-class bounding box calibration, and raw system performance tuning (FPS optimization). I deliver modular Python code integrated with OpenCV for seamless video handling. Let's build a fast, production-grade automated vision detector. Send me a message to map out your real-time detection pipeline!
Programming language:
Python
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SQL
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Colab
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NoSQL
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MLflow
Frameworks:
Scikit-learn
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DeepPy
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Google ML Kit
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Keras
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PyTorch
Other Data Science & ML Services I Offer
FAQ
Can your system handle live network streams (RTSP)?
Yes, the codebase will support RTSP, HTTP, and local video inputs using OpenCV streaming loops.
Which versions of YOLO do you implement?
I work extensively with YOLOv8, YOLOv9, YOLOv10, and YOLOv11 based on your speed versus accuracy needs.
Will this run smoothly without an expensive GPU?
I can optimize the model via OpenVINO or ONNX for CPU usage, though a GPU is recommended for maximum live FPS.
