A hybrid quantum-classical detector called Q-SODA uses an eight-qubit entangling circuit to achieve record precision on small object detection while keeping inference fast enough for edge computing.

Object detection in computer vision encompasses the automatic identification and localisation of objects within images or video streams. Early approaches relied on handcrafted features and shallow ...

Road surface defects, such as cracks, pavement damage and potholes, shorten road service life and affect driving safety and preventive maintenance. Existing lightweight object detectors are ...

Researchers have built a drone perception framework that pairs an enhanced YOLOv7 detector with graph attention network ...

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

The system is designed to work like a roadside shopkeeper. When a customer places an order such as 1kg of apples, cameras ...

The EyePop.ai integration is available immediately across Truman deployments and is fully supported by Secure Passage's 24/7 Managed Operational Intelligence Services operating out of its Kansas City ...

A 2025 study compares YOLOv8 across Raspberry Pi 5 and Jetson Orin hardware, revealing the trade-offs behind real-time drone ...

Selecting the right edge device for real-time AI-powered vision is a critical decision that can impact the performance, usability, and versatility of your applications. This comparison between the ...