Abstract: Deep learning-based object detectors face unique challenges in construction sites, including severe occlusions from complex spatial arrangements, similar appearances between different ...
Abstract: Object detection in remote sensing images differs from general object detection in that it faces numerous challenges, such as false alarm interference. However, conventional object detection ...
In this paper, a novel self-designed inverted-triangular lithium niobate tuning fork (LiNTF) was used to construct gas sensing system for the first time. CHENGDU ...
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) ...
The concept is to make a non-verbal way to a product where users could access their smart home system by using a hand gesture. The product will smartly analyze users hand gesture and do certain ...
LAKE WORTH, FL / ACCESS Newswire / September 5, 2025 / A nose like no other hit local television last night. At 6:15 PM, WPTV featured Zuko, a professionally trained mold detection dog whose unique ...
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 with ...
Maritime mobile edge computing (MMEC) technology facilitates the deployment of computationally intensive object detection tasks on Maritime Internet of Things (MIoT) devices with limited computing ...