SMARTVID.IO OVERVIEW
See how we reduce jobsite risk with the power of human and artificial intelligence in 2 minutes.
Minimize risk across all of your projects with safety observations, safety monitoring and predictive analytics while aggregating all sources of photo and video content into one system powered by AI.
Platform modules are built on a foundation that includes our AI Engine, Vinnie, who is trained to find indicators of project risk in the areas of safety, productivity and quality. Vinnie's observations create objective dashboards and reports that rank each project based on potential safety risk. Smartvid.io has several pre-built integrations with construction systems like Autodesk BIM 360, Procore, Oracle Aconex, OxBlue site cameras, StructionSite, Box and more.
Smartvid.io’s Safety Suite brings together the best of human and artificial intelligence into a single platform through separate modules for observations, monitoring, and predictive analytics. The platform reduces incident rates across all of your projects by enabling a Predictive-Based Safety approach.
Manage observations by risk and status.
Safety Observations is an easy-to-use field system for project teams, safety teams, and executives. It places observations at the center of risk calculations, which has shown to reduce incident rates by 30% through the documentation of both positive and negative jobsite behaviors and conditions. Unlike checklist-based systems, an observations-based approach involves the entire project team in the shared responsibility of safety and supports programs where observations are turned into teachable moments.
Dashboard showing monthly highlights across projects.
Project conditions are changing constantly, and Safety Monitoring helps safety managers and executives identify up-to-date risk conditions and where to focus each week. Vinnie, the construction-trained AI, works like a “virtual safety manager”, automatically detecting safety hazards on jobsites, creating dashboards and a safety risk assessment report that enables cross-project benchmarking for leading risk indicators from PPE to workers at height, to ladders by type, slip trip and fall hazards and more.
Predictive Analytics enables teams to continuously reduce risk by proactively identifying high risk projects through an Incident Early Warning System. Trained on massive amounts of historical project data and incident reports, this construction-specific AI model analyzes data from the Safety Monitoring module and other sources to predict safety incidents. Predictive analytics models are built for each customer and specifically tuned for their sources of data and types of construction.