I will build object detection and tracking with python opencv and yolo

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Muhammad T

About this gig

Need to detect, track, or count objects in videos or a webcam feed? I will build a Python computer vision application using OpenCV and YOLO.

My hands-on experience includes Robo Tracker, a Raspberry Pi robot with object detection, authorized-user recognition, person following, and voice feedback.

Choose your package:

Basic: Pretrained YOLO object detection for one webcam or video source.

Standard: Detection, tracking IDs, and object counting for one source.

Premium: Custom YOLO fine-tuning for up to 3 classes using up to 500 buyer-labeled images, plus a detection script.

Every package includes Python source code and a setup guide. Applications run locally with an OpenCV display window; a custom graphical interface is not included.

Raspberry Pi deployment, robot control, hardware, dataset labeling, and integration into existing apps require a separate quote.

Accuracy and processing speed depend on your data, lighting, model, and hardware. Revisions cover adjustments within the agreed scope.

Please message me with your requirements, sample footage, and computer specifications before ordering so we can confirm the right package.

Get to know Muhammad T

Muhammad T

BS Electronics Student

  • FromPakistan
  • Member sinceApr 2021
  • Avg. response time1 hour
  • Languages

    Urdu, English
I am an Electronics student with hands-on experience in embedded systems, robotics, IoT, circuit simulation, programming, and computer vision. I can help with: • Arduino, ESP32 & Raspberry Pi projects • Sensors, relays, motors & servos • IoT and automation systems • Proteus/Multisim simulation • MATLAB engineering tasks • C++ OOP & Python programming • OpenCV, YOLO, face/object detection • Technical reports and documentation I focus on clean work, clear communication, and practical solutions.