Abstract Lunar domes have always been one of the important windows to understand lunar volcanic activities, but traditional geological dome identification methods are costly. This study attempts establish an automatic method for through FSOD (Few-Shot Object Detection). Since our previous research has trying automatically identify hills using recognition algorithms, team will try Few-Shot Detec...

Object recognition plays a vital role in image processing. Object recognition is a process for identifying a specific object in a image. Object recognition algorithms rely on matching, learning, or pattern recognition algorithms using various techniques. . In any computer vision applications, it helps in the detection of an object. The computer vision applications includes: recognition, automot...

Fatigue driving is an invisible killer in car accidents and one of the main causes traffic accidents. In order to reduce caused by fatigue, this research has developed a safety assist device prevent such research, non-contact driver drowsiness detection alert system established vehicle cabin. The real-time facial image obtained through camera installed front driver, then input NVIDIA Jetson TX2...

COVID-19 has made mankind see unprecedented and unbelievable times with millions of people being affected due to it. Multiple countries have started vaccinating their populations in the hope that it will end pandemic. Given inequitable access vaccines across world highly mutating coronavirus remains be seen when everyone get how effective might prove over virus variants. Therefore, standard COV...

The majority of visual based surveillance applications and security systems heavily rely on object detection, which serves as a critical module. In the context crime scene analysis, images videos play an essential role in capturing documentation particular scene. By detecting objects associated with specific crime, police officers are able to reconstruct for subsequent analysis. Nevertheless, t...

Many datasets used to train artificial intelligence systems recognize potholes, such as the challenging sequences for autonomous driving (CCSAD) and Pacific Northwest road (PNW) datasets, do not produce satisfactory results. This is due fact that these present complex but realistic scenarios of pothole detection tasks than popularly achieve better results effectively represents task. In remote ...

Semi-supervised object detection (SSOD) attracts extensive research interest due to its great significance in reducing the data annotation effort. Collecting high-quality and category-balanced pseudo labels for unlabeled images is critical addressing SSOD problem. However, most of existing pseudo-labeling-based methods depend on a large fixed threshold select from predictions teacher model. Con...