News Coverage

To prevent workplace accidents, construction companies are turning to Vinnie

The Boston Globe 10/10/2019

At hundreds of construction sites, a safety inspector named Vinnie is watching the workers, keeping tabs on those who show up without work gloves or use the wrong kind of ladder. Vinnie doesn’t miss much.

That’s because Vinnie is software — an all-seeing artificial intelligence system developed by a Cambridge startup, Smartvid.io. Chief executive Josh Kanner named the program after a man he knows, a New Jersey construction superintendent with a photographic memory. He sounds a lot like the digital Vinnie, which analyzes photographs at construction sites to spot hazardous conditions. And according to research conducted with the help of Boston’s Suffolk Construction — an investor in Smartvid.io — Vinnie can predict workplace accidents before they happen.

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Data transformation starts at the C-level

Construction Dive, 9/25/2019

Effectively aligning operations and talent with advances in technology is one of the most prominent challenges businesses face today. Big data, artificial intelligence, robotics, and other emerging technologies that collectively form “digital convergence” are on the agendas of CEOs and board directors in every industry.

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The future of AI & machine learning according to Suffolk data pioneer

Oracle Construction & Engineering Blog, 9/23/19

Jit Kee Chin discusses why emerging technologies such as artificial intelligence will play a key role at construction sites, including Suffolk's collaboration with Smartvid.io, a construction-specific AI company.

How can organizations foster a culture of innovation?

Different types of organizations foster innovation differently. At Suffolk, our people are generally entrepreneurial, so the challenge is primarily how to channel this innovative mindset and energy.

Disciplined Process

We follow a disciplined innovation process at Suffolk. We collect and monitor ideas in a classic pipeline model and use a stage gate process to review ideas, pilot solutions, and finally, determine whether we should scale enterprise-wide.

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Artificial Intelligence on construction sites isn’t taking jobs — it’s saving lives

Constructible, 7/18/19

It’s no secret that working on a construction site is among the most dangerous jobs out there. Even with advanced protective gear, significant regulation in place, and the best of intentions by all involved, the construction industry routinely records five times as many fatal accidents as any other industry in the U.S.

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Algorithms and artificial intelligence can make construction more efficient

Risk & Insurance, 8/20/2019

Artificial intelligence (AI) and predictive risk management will be high on the agenda when the International Risk Management Institute holds its 39th Construction Risk Conference November 10–13, 2019, at the Washington State Convention Center in Seattle. In particular one session will specifically address AI, predictive analytics, and the transparent job site.

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10 Types of Construction Technology That Will Shape the Industry in 2019

GroundBreak Carolinas, 7/24/2019

Construction technology is an increasingly important aspect of the future of construction. With the skilled labor shortage, stagnant productivity, and safety issues that plague the industry, it’s hard to stay ahead of these issues. Construction companies, universities, and technology companies are working hard to find solutions to these problems.

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How can new technologies make construction safer?

The Architect's Newspaper, 7/3/2019

Construction remains one of the most dangerous careers in the United States. To stop accidents before they happen, construction companies are turning to emerging technologies to improve workplace safety—from virtual reality, drone photography, IoT-connected tools, and machine learning. That said, some solutions come with the looming specter of workplace surveillance in the name of safety, with all of the Black Mirror-esque possibilities.

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Smartvid.io platform and app uses AI to improve construction safety

For Construction Pros, 6/18/2019

Capture, track and inspect the construction site with the Smartvid.io mobile app, a companion to the Smartvid.io platform. The app and its artificial intelligence engine “Vinnie” is designed to help improve construction safety.

Smartvid.io captures narrated photos and videos to document field observations. It leverages its AI engine to gauge risks and detect hazards. It also lets contractors conduct inspections of the jobsite at anytime.

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Construction Technology Trends: Best of Breed Apps

Raken, 5/28/2019

From the dawn of time (or at least whenever marketing was invented), there have been products out there claiming to be the cure-all, silver bullet solution. They offer answers to all problems, and when advertised, you see phrases like, "never buy another in your life!" or "the last product you will ever need!" but in reality, the majority of these all-in-one solutions will likely give a weak amount of assistance to a variety of issues. For the construction industry, all-in-one software is everywhere you look. The big names in construction tech all offer an all-inclusive solution, and most contractors have tried at least one of them. The issue is, once purchased these all-in-one solutions rarely deliver on their lofty claims. You bought a miracle cure, and ended up getting a decent swig of something that, while it doesn't necessarily hurt, doesn't come close to curing all those diseases listed on the bottle.

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Tech an increased focus of ENR Top 400 firms

Construction Dive, 5/29/2019

Many of the leading firms on the newly released ENR Top 400 Contractors list are using construction technology to make workers safer and more productive. 

For instance, several of the largest constructors in the country are employing artificial intelligence tool Smartvid.io, which uses jobsite photos, videos and other sources to identify and label risks such as standing water or missing personal protective equipment like hard hats, safety glasses, gloves and more. The nature of machine learning means that the more data is fed into the tool, the more the algorithm, dubbed “Vinnie,” can advance in its accuracy.

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