A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ...

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...

Omnidirectional cameras are widely popular as they capture a full 360-degree view. They are often utilized for surveillance, traffic analysis, and autonomous systems. But the same wide-angle vision ...

Underwater object detection has emerged as a pivotal field for marine exploration, environmental monitoring and underwater robotics. The unique challenges of aquatic environments—such as light ...

AI security cameras are transforming modern smart home security by analyzing live video feeds in real time to detect unusual activity with high accuracy. Using advanced convolutional neural networks, ...

Abstract: Real-time-object-detection is object detection in authentic time with expeditious inference while maintaining a base level of precision. It is a cosmic, energetic yet uncertain and ...

OSMDeepOD is a project about object detection from aerial imagery using open data from OpenStreetMap (OSM). The project uses the open source software library TensorFlow, with a retrained Inception V3 ...

The Space Systems Command’s Space Domain Awareness (SDA) Tools Applications and Processing (TAP) Lab collaborated with commercial and academic partners to achieve mission success for Apollo ...

In the current Artificial Intelligence and Machine Learning industry, “Image Recognition”, and “Computer Vision” are two of the hottest trends. Both of these fields involve working with identifying ...