This project was developed as part of the Epsilon AI Computer Vision track. It implements an end-to-end object detection system using YOLOv8 to detect objects in real-world images. Multiple training ...
This project implements a real-time object detection system using a pre-trained YOLO model from the Ultralytics package. It can: Detect and label multiple objects from a live webcam feed Process video ...
One of the most important measurements we make while tuning an engine is finding out what the actual balance of air and fuel was inside the engine. It doesn’t matter if we have a carburetor, port ...
Infrared (IR) temperature measurement plays a key role in ensuring the safety and optimal performance of batteries across a wide range of applications. Accurate temperature control is particularly ...
Abstract: Multispectral object detection using RGB and infrared (IR) imagery captured by unmanned aerial vehicles (UAVs) has become increasingly important for surveillance and rescue missions under ...
ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...
Abstract: This paper presents the Radar and IR sensor fusion method for objection detection. The infrared camera parameter calibration with Levenberg-Marquardt (LM) optimization method is proposed ...
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