An online examination monitoring system employing YOLOv8, along with various other deep learning and machine learning approaches, centered around computer vision.

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Detect android devices' screen defects using AI

Detect android devices' screen defects

Docker implementation of the OmniParser screen parsing tool

YOLO-based object detection tool for automatically locating digital screens in images or videos. Optimized for dataset generation and seamless integration with OCR pipelines.

Detects whether an image is a real photo or a photo of a screen. No deep learning — 76 FFT/moiré features (pixel-grid aliasing, refresh banding, glare) into gradient-boosted trees, trained on real recaptures. 94.7% grouped 5-fold CV, ~0.5s per 12MP image on CPU. Flask web demo included.

Screen Detection in a Dark Room

A FiftyOne remote model for ScreenParser.

Screen resolution is the number of pixels your monitor have in horizontal and vertical dimensions.