The proposed system is a hybrid deep-learning architecture for landslide detection and segmentation from satellite, aerial, and drone imagery
-
Updated
Aug 15, 2026 - Python
The proposed system is a hybrid deep-learning architecture for landslide detection and segmentation from satellite, aerial, and drone imagery
Real-time computer vision system for factory worker safety monitoring. Detects improper hand placement and worker distraction using AI, with automated logging and analytics dashboard.
A fine tuned YOLO11 model up to 100 epochs. This custom dataset based fine tuned yolo11s is down streamed on the task of traffic signals detection in both images, videos. Furthermore, the model has been exported to the ONNX format as well. You may export it to your desired serialization format.
Android app for hands-free smartphone control using real-time eye gestures, head pose detection, on-device ML Kit, CameraX, and Accessibility Service.
An intelligent, AI-driven system that automates restaurant payment verification by extracting, analyzing, and reconciling POS receipts and digital payment screenshots.
Prototipo Android de inspección visual en tiempo real. CameraX captura la imagen; OpenCV resalta regiones oscuras de alto contraste como candidatas a anomalía y, si el teléfono lo permite, la linterna se puede activar desde la pantalla.
Bed state detection
Draw in the air no mouse, no tablet, just your hand and a webcam.
To associate your repository with the computervision-detection topic, visit your repo's landing page and select "manage topics."