Facial recognition check-in to eliminate induction queues
Eliminating site entry bottlenecks with AI computer vision
One.site manages contractor approvals and tracks who is on-site via a digital check-in system. At busy times, queues would form as contractors searched for their names on shared tablets, slowing access and creating costly bottlenecks at the start of every working day.
The Big Idea
At busy construction sites, the morning rush is a bottleneck. Contractors arriving at 7am would queue at shared tablets, scrolling to find their name in a list,slowing entry, frustrating workers, and eating into productive time before the day had even started.
Kyan developed advanced AI computer vision to implement facial recognition check-in for One.site. Workers enrol once and check in instantly from then on; no searching, no scrolling, no queues. The system matches faces to enrolled users with confidence thresholds and site-specific filters, ensuring accuracy while maintaining the privacy and data protection guardrails the solution demands.
The Results
The impact is felt from the first day of deployment. Entry times drop dramatically, queues disappear, and the need for dedicated check-in staff is significantly reduced across multiple sites. The system operates with appropriate AI guardrails for data protection and privacy, built into the architecture from the ground up, not retrofitted as an afterthought.
AI classification that learns from each interaction continues to improve recognition accuracy over time, meaning the system becomes faster and more reliable the more it's used, delivering compounding returns on a single investment.
Kind Words
We put you to the test and you delivered!
Mitch
Head of Product, One.site