Abstract: The significant increase in vehicular traffic on university campuses has raised concerns about pedestrian safety and the enforcement of traffic regulations. Peak hours see heightened risks ...

Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in real time. Facial Landmark Detection is used for AR (Augmented Reality) ...

Abstract: Text-specific inpainting—masking and replacing particular words and phrases in the different images. It has significant potential for applications such as document redaction, privacy ...

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

In today’s digital-first financial landscape, OCR technology has become a core technology for banking automation, efficiency, and accuracy. From speeding up ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

Optical Character Recognition (OCR) has become an indispensable tool in the arsenal of today’s translation and design professionals. OCR allows you to transform printed, non-editable text (e.g. from a ...

Monocular depth estimation involves predicting scene depth from a single RGB image—a fundamental task in computer vision with wide-ranging applications, including augmented reality, robotics, and 3D ...