Real-Time Object Detection System

Abdullah Siddique | Jan 21, 2025 min read

๐ŸŽ‰ Thrilled to Announce the Completion of Our AI & ML Journey at iCodeGuru!

After 8 intensive weeks of learning and building, Iโ€™m excited to share the successful conclusion of our AI and Machine Learning program at iCodeGuruโ€”a journey filled with growth, innovation, and real-world application.

One of the proudest accomplishments from this experience was the development of a real-time video object detection system, a project that pushed me to apply AI beyond theory and create something truly impactful.


๐ŸŽฏ Project Highlight

Using a YOLO-based pre-trained model, I built a system capable of processing video input, identifying objects frame by frame, and producing a variety of meaningful outputs.

๐Ÿ” CSV Export of Detection Results
The system logs detailed detection data into a CSV fileโ€”including object names, positions, and confidence scoresโ€”making it easy to perform custom analysis or track results over time.

๐ŸŽฅ Annotated Video Output
Each processed video features bounding boxes and labels for objects detected in real time, offering a clear and intuitive visual experience.

๐Ÿ“Š Analytical Graphs
To provide deeper insights, the system generates custom graphs that display detection frequency, object types, and confidence levels.

โš™๏ธ Model Enhancements
Though built on a pre-trained YOLO architecture, I fine-tuned the model to:

  • Improve accuracy in long videos
  • Optimize runtime performance
  • Enhance detection stability in complex scenes

๐Ÿ™Œ Gratitude to Our Mentors & Community

A heartfelt thanks to:

  • Sir Muhammad Shahid
  • Mam Hijab Zahra

Your mentorship made this journey insightful and rewarding.

Iโ€™m also grateful to the iCodeGuru team and Pak Angels for creating such a supportive and empowering tech learning environment.


๐Ÿ“ฝ๏ธ Watch the Session Recordings

Curious to see how it all came together?
๐ŸŽฌ Click here to watch the full recorded sessions


๐Ÿ“‚ GitHub Repository

Want to dive into the code, test it, or contribute?
๐Ÿ’ป Explore the GitHub repo here
And if you find it useful, donโ€™t forget to star it!


๐ŸŒ Join the iCodeGuru Community

Ready to work on real-world AI challenges and build future-ready skills?
๐Ÿ”— Become part of the iCodeGuru community


Originally shared on LinkedIn

#MachineLearning #ArtificialIntelligence #YOLO #VideoProcessing #ObjectDetection #TechLearning #iCodeGuru #PakAngels