Edge computing and AI are revolutionizing utility operations by enabling real-time, autonomous decision-making at the grid ...

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention ...

Notably, the method exhibits remarkable real-time edge detection performance for moving objects, showcasing its potential for security checks in non-visible bands.

Revolutionise gunshot detection with edge-based intelligence. Experience real-time alerts and visual confirmation for superior physical security. Embrace advanced gunshot detection systems today.

Digital transactions have emerged as a dominant force in today’s global commerce sector, empowering businesses and financial institutions like never before. However, at the ...

AI edge computing enables real-time threat detection and faster security response by processing video and sensor data at the source, as illustrated by advanced data visualization tools and ...

Edge applications are often focused on the input of sensor data and require even smaller models with a high degree of accuracy and real-time, or close to real-time, execution for mission critical ...

This a significant step forward on the Edge where drone-based small object threat detection for force protection is responding to the rapidly changing modern battlefield.

The Industrial IoT sector is undergoing a rapid evolution, demanding software-defined edge nodes capable of running containerized workloads on cost-effective platforms. This transformation is driven ...