Made of silicon, these in-sensor visual processing arrays can both capture and process visual data in the analog domain, as opposed to conventional systems that often physically separate these ...

Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...

Conventional silicon architecture has taken computer vision a long way, but Purdue University researchers are developing an alternative path — taking a cue from nature — that they say is the ...

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 ...

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 ...

ALISO VIEJO, Calif.--(BUSINESS WIRE)--indie Semiconductor (Nasdaq: INDI), an Autotech solutions innovator, has expanded its automotive camera video processor portfolio with the commercial release of ...

OpenVX is an API enabling software developers to add hardware accelerated computer vision capabilities to their programs. Coupled with the current upswing in the use of deep learning technologies, ...

Integrated with eYs3D's Proprietary XINK-ll Edge Spatial Computing Platform and the Sense and React™ Human-Machine Interaction Development Interface, These Innovations Provide Robust Support for Human ...

At one time or another, nearly everyone has wished they could be in two places at once. Now, with help from advancements in computer vision and artificial intelligence (AI) at the edge, engineers may ...