This manuscript proposes an automatic reading detection system for an analogue gauge using a combination of deep learning, machine learning, and image processing. The study suggests image-processing ...

Forbes contributors publish independent expert analyses and insights. I write about contemporary cybersecurity and online privacy issues. Integrating computer vision technology is a big step forward ...

Is that a dog in the middle of the street? Or an empty box? If you’re riding in a self-driving car, you’ll want the object detection and collision avoidance systems to correctly identify what might be ...

Vision systems are rapidly becoming ubiquitous, driven by big improvements in image sensors as well as new types of sensors. While the sensor itself often is developed using mature-node silicon, ...

In this paper, we review the integration of microfluidic chips and computer vision, which has great potential to advance research in the life sciences and biology, particularly in the analysis of cell ...

Given computer vision’s place as the cornerstone of an increasing number of applications from ADAS to medical diagnosis and robotics, it is critical that its weak points be mitigated, such as the ...

At one time or another, every business owner has wished they could have spotted an issue before it happened: Two kids colliding on a trampoline, a shoplifter taking flight or employees socializing ...

Despite advances in machine vision, processing visual data requires substantial computing resources and energy, limiting deployment in edge devices. Now, researchers from Japan have developed a ...

What if the success of your next Raspberry Pi project hinged on a single decision? Core Electronics explains how the Raspberry Pi AI HAT 1 and AI HAT+ 2 are designed to supercharge your AI ambitions, ...

Expands indie’s Growing and Class-leading Camera Video Processor Portfolio Meets OEM Demands for Scalable ADAS Vision Architectures for Mass-market Deployments Provides both Viewing and Sensing ...