Construction

AI Can Make Job Sites & Workers More Efficient & Safer While Improving Productivity, Compliance & Saving Money

It has been estimated that 40% of construction companies still use pen and paper to track and share information. This makes the industry overdue for AI innovation.

USE CASE

WORKER PRODUCTIVITY OPTIMIZATION

Challenge

Tradespeople spend and estimated 30% of time on a construction site actually building. The other 70% of time is spent preparing for tasks, securing the correct equipment, and searching for materials with some of this time spent waiting for supply deliveries and task instructions.

Solution

Cameras with Sixgill AI collect real-world visual input across jobsites. Many applications to enhance productivity are possible. Knowledge can be continually obtained for correct worker-task assignments, performance tracking, and reasons for delays. Cameras can also effective data collection tools for advance planning to increase on-site efficiency and worker scheduling. When teams arrive on site, they can focus on the construction work itself and reduce the overall time required to complete the project. With cameras, project managers can also track job site work remotely in real time and assess worker productivity and conformance to procedures.

USE CASE

PROCESS/TASK MONITORING & COMPLIANCE

Challenge

Construction workers are often assigned tasks with little to no context. Simply put, they are told what to do, but they aren’t given the information needed to complete a task efficiently and safely. They are put to work without plans, photos, or forms that would help them fully understand what they need to be doing and where they should be doing it. Jobsites are dangerous. Real-time visibility and alerting of activities, use of equipment, and rules adherence enable proactive management and corrective action.

Solution

Sixgill Sense and ML models can be deployed to on-site cameras to monitor process-intensive procedures like brickwork, masonry, plumbing setup, electrification, flooring, roofing and many more. Issues can be identified in real time and supervisors can ensure processes are followed correctly and assist with data-evidence of compliance. Activity recognition and behavior detections are automatically tracked. If things go haywire, the system can generate automated alerts as soon as errors are made, and corrective actions resolve problems that can throw a project off track. Video with AI learnings can be used for future planning and worker training for continual improvements.

USE CASE

PROCESS/TASK MONITORING & COMPLIANCE

Challenge

Construction workers are often assigned tasks with little to no context. Simply put, they are told what to do, but they aren’t given the information needed to complete a task efficiently and safely. They are put to work without plans, photos, or forms that would help them fully understand what they need to be doing and where they should be doing it. Jobsites are dangerous. Real-time visibility and alerting of activities, use of equipment, and rules adherence enable proactive management and corrective action.

Solution

Sixgill Sense and ML models can be deployed to on-site cameras to monitor process-intensive procedures like brickwork, masonry, plumbing setup, electrification, flooring, roofing and many more. Issues can be identified in real time and supervisors can ensure processes are followed correctly and assist with data-evidence of compliance. Activity recognition and behavior detections are automatically tracked. If things go haywire, the system can generate automated alerts as soon as errors are made, and corrective actions resolve problems that can throw a project off track. Video with AI learnings can be used for future planning and worker training for continual improvements.

USE CASE

WORKER COUNT & TRACKING BY TRADE

Challenge

Each construction project can have hundreds – or thousands – of workers, each assembled in different roles with varying goals. The lack of coordination on construction projects leads to mistakes and wasted time. The larger the project the more risk, as there are multiple sub-contractors working on different trades in parallel on job sites.

Solution

Sixgill Sense deploys computer vision models to automate the tracking of the number and types of workers on worksites at any time. Vision models can be customized for project needs and identify workers by trade by detecting visible criteria such as the color of hardhats, or vests. Supervisors and project managers can monitor and prioritize tasks depending on the number of qualified tradespeople on site. This allows project teams to focus their limited time and resources on tackling the biggest tasks while minimizing risk factors. Alerts can be sent if too many or not enough workers are on site based on desired criteria. And, Sixgill AI solutions can automatically assign priority to issues depending on project needs and the dynamics of the worksite population.

Whether you need our Enterprise AI services to build custom models or have the team to build or upload models and manage them within Sense, please let us know how we can help solve your use case requirements and the needs of your business.

Contact us today to request a demo of Sense.