We show the relative performance achieved against prior work using benchmark datasets to illustrate maximally robust real-time fire region detection." (1) using InceptionV1-OnFire CNN model (2) using ...

Fire-Flame-Dataset is a dataset collected in order to train machine learning model to recognize Fire, smoke, and neutral (images without fire or smoke).This a dataset containing about 3000 images and ...

Learn how to detect hidden trackers like Wi-Fi, Bluetooth, and drones using open-source tools and affordable hardware to protect your privacy ...

Congestion is one of the problems in traffic, especially at intersections with traffic lights. In this study, a traffic light management system was developed by utilizing image processing that can ...

This paper presents an innovative solution for image processing, especially object and person detection, using a drone. Compared to previous implementations that relied on a good network connection ...

The primary goal of a fire detection system is to minimize financial losses and human casualties by rapidly identifying flames in diverse settings, such as buildings, industrial sites, forests, and ...