Abstract: The “Face Recognition System using Python with OpenCV, Tkinter, NumPy, Image, CV2, and OS Modules” paper aims to develop an efficient and user-friendly application for facial recognition. It ...

Canon’s EOS R6 Mark III has a good chance of being the camera of choice for many wedding photographers, and I have a lot of camera buddies that rave about its predecessor, the R6 Mark II - I myself ...

Developed a face recognition system capable of processing both live video streams and static images, utilizing face detection algorithms and Principal Component Analysis (PCA). Developed a face ...

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 ...

If Apple ever does bring Face ID to the Mac, newly revealed research shows how the company could also use its LiDAR to recognize a user's hand gestures. While the patent does not mention Face ID or ...

Python GUI integrated attendance system using face recognition to take attendance. In this python project, I have made an attendance system which takes attendance by using face recognition technique.

Optical Character Recognition (OCR) is a powerful technology that converts images of text into machine-readable content. With the growing need for automation in data extraction, OCR tools have become ...

Abstract: Facial recognition systems are incredibly important in today’s digital world, spanning various industries. It has several benefits and Plays a crucial part in identifying individuals, ...

There are numerous ways to run large language models such as DeepSeek, Claude or Meta's Llama locally on your laptop, including Ollama and Modular's Max platform. But if you want to fully control the ...