AI on chest CT doubled recall vs experts for radiolucent airway foreign bodies while maintaining strong precision.

ECAM also introduced a System Takeover Program, allowing businesses to convert existing surveillance systems into fully ...

Built around a 1/1.3-inch CMOS sensor - unusually large for a webcam - the S3 promises true 4K capture with what the company calls master-tuned detail and precision optics, positioning it as a step up ...

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 ...

Abstract: This paper presents a comprehensive evaluation of multiple YOLO (You Only Look Once) model variants for object detection in fisheye lens images, specifically utilizing the FishEye8K dataset.

A bottleneck to enabling widespread access to molecular diagnostics, especially in low- and middle-income countries, has been the high cost and complex logistics associated with rapid point-of-care ...

Abstract: Marine object detection plays a crucial role in various applications such as collision avoidance and autonomous navigation in maritime environments. While most existing datasets focus on 2D ...

I am working on an overhead object detection project using images with a resolution of 1280x1024. The objects are generally small (e.g., cars and people). The inference will be performed on the DPU.

WESTMINSTER, Colo.--(BUSINESS WIRE)--Maxar Intelligence, the leading provider of secure, precise geospatial insights, announced today that it was awarded Delivery Order 01 under the Luno A program by ...

In the mass shift to remote work and a bitter return to office for many employees, companies have turned to artificial intelligence to monitor employee productivity. While AI-powered surveillance ...