This integration supports the U.S. Army's evolving need for real-time threat detection and ISR capabilities across its next-generation drone fleet. Safe Pro's proprietary computer vision technology ...

The increase in precision agriculture has promoted the development of picking robot technology, and the visual recognition ...

With the rapid development of machine learning, its powerful function in the machine vision field is increasingly reflected. The combination of machine vision and robotics to achieve the same precise ...

Surveillance has come a long way from the watchful eyes of security guards to the all-seeing lenses of today's cameras.

While Machine Learning (ML) has emerged as a promising solution for anomaly detection, challenges such as scalability, adversarial robustness, and energy efficiency remain unresolved. This study aims ...

Remote sensing object detection (RSOD), one of the most fundamental and challenging tasks in the remote sensing field, has received long-standing attention. In recent years, deep learning techniques ...

Although adopting new technologies like computer vision and machine learning presents several challenges, they can bring long-scale improvements that automate manufacturing processes.

The object detection method serves as the core technology within the unmanned driving perception module, extensively employed for detecting vehicles, pedestrians, traffic signs, and various objects.

Accurate detection and recognition of objects can be increased in 3 ways: First, larger image sizes: just like humans, it’s easier to recognize objects in a large, high resolution image than a small, ...