Properly tracking and documenting progress on a construction project is critical to a well-managed project. Documenting when and how key tasks and activities are completed by specific trades can make schedule updates more straight forward. Capturing this information, however, has traditionally required time-consuming site walks and tedious, paper-based processes that are poorly controlled and inconsistently executed.
Today at ENR’s FutureTech conference in San Francisco, Jit Kee Chin, EVP and Chief Data Officer at Suffolk, announced the results of 6 months of collaboration between our companies. We think it’s groundbreaking and hope you will too.
Without a doubt, keeping workers safe on the job site should be the most important thing to any project team. And yet, today’s job sites that are increasingly large, complex, and rapidly changing make it very challenging to constantly monitor the site for all aspects of safety best practices. Having a second set of eyes that look out for safety hazards can be a valuable tool for project teams -- a key reason why many leading contractors are investing in safety training and assigning on-site safety professionals for their largest jobs. Even so, there are limits to how many site inspections teams can execute in the context of broader responsibilities that include planning and coordination, training, reporting, and incident investigations.
As the construction industry grows so does the risk of injury on the jobsite. Projects are becoming larger and increasingly complex, not to mention the compressed schedules we are all asked to deliver. Each of these factors puts workers at a greater risk of injury in a fast paced, complex environment. All the while, contractors are being asked to reduce costs and take on more risk to complete these projects.
Our end of January release was a big one, headlined by the addition of new safety tags (as featured in ENR), a new integration with OxBlue site camera (now in Beta), and lots of cool new features on web and mobile.
Topics: Product Updates
As we have turned the page on 2017, we wanted to pause to look back at the highlights of the year for Smartvid.io and our mission of bringing machine learning (ML) to construction. More than anything else, we are deeply appreciative of our committed and innovative customers, partners, and employees who are committed to our vision of improving the industry with technology.
Like all firms, it is important for Engineering News Record (ENR) to know if unsafe conditions are being shown in the imagery it releases to the public. For their annual photo competition, the ENR team used our machine learning to review all 763 images submitted for consideration. In this article published by ENR, you can see our ML engine, nicknamed “VINNIE”, found 97 people not wearing gloves, 31 without hardhats, 89 without safety colors and 11 without eyewear. We helped screen the winning pictures and identified two that we recommended be reviewed further.
Don’t be one of the million construction workers who visit the ER this year due to hand injuries.
The construction site is riddled with hazards for your hands and wearing proper gloves might be the only thing between you and a trip to the emergency room. The stats on hand injuries in construction are staggering.
Hard to believe that Fall and Autodesk University are here again! Seems like just yesterday we were in Vegas in a (very) small “startup kiosk”. In a few short weeks, we’re headed back, this time in a real booth (Booth C606), involved in three sessions, and co-sponsoring an event Tuesday night with BuiltWorlds @ TopGolf. Here’s where to find us!
Well, we’ve had some nice wins recently. Some highlights: being named one of the top 2 most disruptive uses of Artificial Intelligence by NVIDIA, and being featured by Skanska in their recent ENR FutureTech presentation.
And now, we’ve got big news! Smartvid.io is moving to the next phase of building the company by closing our Series A funding round. We raised $7M overall, with investments from Autodesk, Borealis Ventures, Castor Ventures, and existing investors Converge, Launchpad Venture Group and Stage 1 Ventures.
As you might know by now, Smartvid.io’s mission is to help companies manage photos & videos from the jobsite. This is an old, messy problem that’s only gotten messier with the addition of mobile devices, wearables, apps, and drones. We’ve explained how we tackle it with machine learning; next, we’re ditching the abstract, technical mumbo-jumbo and showing live examples of how our Procore integration makes organizing and finding photos & videos easier than ever.
At Smartvid.io, we’re obsessed with the concept of “integration.”
From a dictionary standpoint, that means “the combining of parts or elements into a whole.”
From a practical standpoint, that means the very real synergy that happens when teams and data are all connected.