Image recognition technology plays an important role in advanced driver assistance systems (ADAS). The objective of this study is to explore the feasibility of using heterogeneous image fusion to ...

Recently, autonomous driving has been formulated as many tasks separately by using different models, such as object detection task and intention recognition task. In this study, a vision-based system ...

The global Medical Imaging Market is valued at USD 41.62 Billion in 2024 and is projected to reach a value of USD 71.88 ...

A Real Time Object Detection using OpenCV and Deep Learning, When the object you want to detect is in the middle of your webcam screen the box around it will turn green.

These parameter-varied simulations are used to train sensitive 2D CNN object detectors. When combined with 1D histogram peak detection algorithms, this multi-modal detection framework is highly adept ...

Start with the basics: get a handle on what AI is, why it matters, and how it’s used in the real world. Make a plan: figure ...

Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the long wait times many families face when seeking evaluations for autism and ...

Quadrants has released its latest AI inference Startups/SMEs Companies Assessment, 2025, recognizing key players, including ...