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I will build real time object tracking systems using yolo and deepsort
Computer Vision, Deep Learning Expert, YOLO, OpenCV, Object Tracking
I am a Computer Vision & Deep Learning Engineer specializing in custom AI automation. I build high-performance real-time applications using Python and OpenCV. My core expertise includes training advan...
About this Gig
Need to count and follow unique objects across video frames without losing their identity during occlusion? I design and optimize advanced real time object tracking applications utilizing YOLO combined with DeepSORT or ByteTrack.
While basic object detection only draws static bounding boxes, my customized implementations assign unique ID numbers to individual assets. This approach is highly effective for traffic surveillance systems, retail foot-traffic analytics, and automated security systems where monitoring trajectories and cross-line counting are vital.
Services Included:
- Multi-object tracking (MOT) with unique tracking IDs
- Customized virtual tripwires for entry/exit counting
- Occlusion handling to maintain identity continuity
- Multi-class tracking optimization (people, vehicles, assets)
- Multi-threaded video stream pipeline architecture
Why Choose Me:
- Expertise in complex multi-object association logic
- High frame-rate performance tuning for production environments
- Thorough code documentation for seamless scaling
Get an end-to-end analytical view of your operations. Reach out now to discuss your custom tracking rules.
Programming language:
Python
•
R
•
MATLAB
•
SQL
•
Colab
Frameworks:
Scikit-learn
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DeepPy
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Google ML Kit
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SimpleCV
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Keras
FAQ
How does the system handle an object that gets temporarily blocked by another item?
DeepSORT uses Kalman filtering and deep appearance descriptors to predict motion and recognize the object when it reappears, preserving its ID.
Can your tracking framework calculate the approximate speed of moving vehicles?
Yes, by calibrating pixel distances against known physical coordinates, I can implement accurate speed-estimation modules into the tracker.
Can this system run smoothly on multiple live RTSP IP camera streams?
Yes, I write asynchronous, multi-threaded pipelines that process individual camera feeds simultaneously without bottlenecking your main application thread.
