You are allowed to use the AI coding tool of your choice. You must submit the result as pull requests and must be able to answer and fix issues that the pull master requests. You are expected to ...

Hello everyone! This is PrimeQUADRAFLOW. As of May 16, 2026, our business environment is changing rapidly, and there is an even greater demand for efficiency and productivity improvements. It is no ...

This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...

To develop a Python-based digital technique for accurate measurement of pupil size, corneal size, and eccentricity in guinea pigs, and to validate its efficiency and accuracy against traditional OCT ...

To address the challenges encountered by safflower filament harvesting robots in detecting and localizing harvesting points in unstructured environments, this study proposes a harvesting point ...

Abstract: Utilizing eye aspect ratio analysis and facial landmarks, the sleep detection tool is intended to detect indicators of sleepiness or drowsiness in people. By leveraging the face recognition ...

In today's rapidly evolving world of technology, the integration of computer vision and automation tools has paved the way for innovative and hands-free computing experiences. In this article, I'll be ...

Deep learning shows promising results in extracting useful information from medical images. The proposed work applies a Convolutional Neural Network (CNN) on retinal images to extract features that ...

A real-time face recognition system is capable of identifying or verifying a person from a video frame. To recognize the face in a frame, first, you need to detect whether the face is present in the ...

Automated diagnosis of various retinal diseases based on fundus images can serve as an important clinical decision aid for curing vision loss. However, developing such an automated diagnostic solution ...

Data is the most valuable resource businesses have in today’s digital age, and a large portion of this data is made up of images. Data scientists can process these images and feed them into machine ...