Abstract: With the development of deep convolutional neural networks, significant progress has been made in object detection over the past few years. Current detection algorithms demonstrate high ...

A networked, intrinsically-safe, fire and gas detection system from Autronica ... gas and safety critical control systems architecture designed by U.K.- based systems supplier Silvertech, and ...

TOKYO, May 19, 2025 /PRNewswire/ -- Synspective Inc., a provider of Synthetic Aperture Radar (SAR) satellite data and analytics solutions, is pleased to announce the launch of its Object Detection and ...

For solving this problem, we propose Capsule Dynamic Single Shot multibox Detector (CD-SSD) object detection algorithm in this paper. This method replaces the partial convolution pooling layer of the ...

Choosing a home security camera can be a daunting task since there are a lot of things to consider. Some aren’t susceptible to power outages, thanks to their battery power and local storage ...

3D motion detection uses radar to detect the distance of an object for improved accuracy and fewer false alerts compared with the standard camera. This technology also powers a bird’s eye aerial ...

The USV is usually small in size, which makes it difficult to be found by the visual system with vague features. For object detection algorithms, too few features lead to missed detection; at the same ...

To address the limitations of current techniques, this paper presents an improved object detection ... greatly enhances the detection capability. ViT (Dosovitskiy et al., 2020), as a pioneering work ...

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This project is an implementation of an SSD (Single Shot Multibox Detector) for object detection. The model is based on a pre-trained ResNet50 backbone and uses the Pascal VOC dataset.