What Vinnie “Sees”
Our construction-trained AI, Vinnie, automatically detects more than 100 safety hazards on jobsite imagery. Get risk-reducing insights, dashboards and safety risk assessment reports that enable cross-project benchmarking for leading indicators of risk.
Safety
- Leading indicators of risk like presence of slip, trip and fall hazards like standing water, housekeeping and ladders (by specific type) and other fatal four hazards.
- Chronic and acute improper body positioning to prevent work-related muscular-skeletal disorders, one of the leading causes of lost work time.
Productivity
- Site activity metrics like how many workers are seen by time, including arrival and departure times
- Phase of construction can also be identified, including excavation, foundations, structural steel, finishes/fitout and more
Quality
- Specific types of defects like cracks in tunnel walls can be detected and quantified automatically
Why the Name Vinnie?
The name Vinnie originated from the CIO of a large contractor in the New York City area. At one time he was explaining how they had recently “found” some photo and video content that was critical to a claim. When asked how they knew where to find that content, he matter-of-factly replied, “Vinnie remembered.” Vinnie, in this case, was a superintendent located in New Jersey who had a great memory for where specific site imagery was stored. So we’ve built construction-tuned AI into our product so that now every company can have a “Vinnie”. In addition to knowing where to find your photos and videos, he is always looking for, finding and creating indicators of project risk. Read more about Vinnie’s background.
Privacy First
Vinnie is sensitive to the privacy of the workers seen in images he analyzes. No workers are attempted to be identified (there is no facial recognition and never will be) and all data is governed by our
privacy policy.
