Waiter Detection & Person Recognition
ML Challenge / Computer Vision
ML Challenge / Computer Vision
AI/ML / Computer Vision · Detailed breakdown
Project overview
Why this build
mattered.
Real-time person detection and recognition system for restaurant service monitoring using Roboflow DETR model.
0.42+ Confidence Threshold
accuracy
8 Person Recognition
detection
Real-time Video
processing
System views
Screens and
surfaces
What shipped inside
Key features
and modules
The same motion language from the main homepage carries through here, but the content turns toward the architecture, workflow, and operational details that made this project useful.
Highlight
Trained custom DETR model on 73 labeled video frames
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Real-time video processing with confidence threshold 0.42
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Multi-person recognition (TANVIR, ANIK, TOUFIQ, IMRAN, MUFRAD, EMON, SHAFAYET, FAISAL)
Delivery summary
Build notes
Project essentials
Waiter Detection & Person Recognition
Trained custom DETR model on 73 labeled video frames1
Real-time video processing with confidence threshold 0.422
Multi-person recognition (TANVIR, ANIK, TOUFIQ, IMRAN, MUFRAD, EMON, SHAFAYET, FAISAL)3