ACV’s VIPER inspection towers can be installed in a dealership’s service drive to enable AI-powered, vision-based autonomous vehicle condition capture (Image: ACV) Join 10,000+ vision professionals ...
ACV (NYSE: ACVA), the leading digital automotive marketplace and data services partner for dealers and commercial partners, today announced the next wave of availability for the VIPER Early Access ...
China Leading Automated Warehouse System Manufacturer: How Jetronl Shapes the Future of the Industry
SHENZHEN, GUANGDONG, CHINA, January 21, 2026 /EINPresswire.com/ -- As global manufacturing continues to evolve toward ...
This seamless transition from arrival to diagnostic transparency is the new hallmark of the industry, powered by the rapid ...
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Honda and ODOT test vehicle-based system for automated roadway inspections
Honda and the Ohio Department of Transportation have completed a two-year pilot program testing an automated roadway ...
BigBear.ai is aggressively diversifying its AI portfolio, targeting border security and customs markets through strategic ...
UpdatePromise, a leader in dealership customer-experience and fixed-operations technology, today announced an integration with UVeye, the global leader in automated vehicle inspection systems, ...
Abstract: Automated Visual Inspection is a cornerstone of modern manufacturing, yet the development of robust deep learning models is frequently impeded by the scarcity and imbalance of training data.
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AI agents for visual inspection in manufacturing
Visual AI agents are transforming semiconductor manufacturing operations by driving new levels of quality and productivity through visual inspection and the fine-tuning of vision foundation models ...
This webcast features: Mitsutaka Shirasaki, Drug Product Inspection and Packaging, Samsung Biologics. The role of visual inspection (VI) is to monitor the health of upstream processes—formulation, ...
Oxipital AI’s V-CortX uses 3D scans of real products to generate millions of AI training examples automatically, removing the need for thousands of manually annotated images that traditional vision ...
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