Highlights
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Litter-Locator
Litter-Locator PublicDrone-based system using YOLO and RNN models to detect trash in aerial images. Trained on 772 images with 3,718 annotations, optimized for NVIDIA Jetson Xavier NX.
Jupyter Notebook 1
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Lane-Curvature-Detection
Lane-Curvature-Detection PublicBezier curve-based lane detection and curvature estimation using PyTorch, trained on TuSimple.
Jupyter Notebook 1
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Self-Checkout-System
Self-Checkout-System PublicAutomated fruit self-checkout using YOLOv8 on Jetson Nano with weight sensing and cloud SQL integration for faster, error-free supermarket checkout.
Python 1
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Fire-Fighting-Mobile-Robot
Fire-Fighting-Mobile-Robot PublicMobile robot with 4-DOF flame-tracking arm and PID control, achieving 85 % flame detection accuracy in tests.
Python 1
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