Building and remodeling projects can be quite complex. Project managers and contractors have to juggle technical tasks with safety imperatives and practical considerations, among other elements. The ...

Christoph Wagner is the CEO of Scanbot SDK, a software development company specializing in data capture software for mobile and web apps. Recent leaps in generative AI have demonstrated the disruptive ...

Think of Computer Vision Technology (CVT) as an all-seeing, all-knowing extra set of eyes—an omniscient, reliable narrator who improves the human experience. For these reasons, CVT is helping ...

BOSTON--(BUSINESS WIRE)--Ubicept, the revolutionary computer vision technology company, today announced it has secured $8M in funding. The oversubscribed seed investment round was led by Ubiquity ...

In a world characterized by rapidly shifting technology, it’s difficult to know which advancements are here for the long haul and which are fleeting. It’s even more difficult for companies to ...

Artificial intelligence startup Ubicept Inc. says it has developed a new kind of computer vision technology that’s able to process image data at the photon level to create machines that can “see” with ...

The average inventory accuracy rate is 83%, and while that seems like a fairly high number, the missing 17% can have a considerable impact on retailers. To best serve customers, it’s crucial to ...

Pilot program part of co-development effort to automate and optimize warehouse yards, where manual processes can hinder supply chains “We have not seen this kind of accuracy with computer-vision ...

AI is hot; today’s craze is just the tip of the iceberg. While large language models, generative AI, and image-producing algorithms are neat, the next phase of AI will start generating cash flow for ...

When you're a home improvement specialist with thousands of outlets throughout the US, it can be tough to keep track of products across stores and warehouses. Add in the complication of Black Friday ...

A: Most pipelines use deep learning backbones like Faster R-CNN, trained on labeled datasets of façades and markings. They also rely on orthophotos (flattened wall images) and thousands of paired ...