Lifting Productivity Across Every Workstation
Reconext used Safari AI at its Mexicali facility to measure workstation activity and utilization across multiple third-party production lines.
The program targeted 20% higher productivity within three months
Line performance was measured at the end of the shift, not during it.
Across several third-party production lines, output per station varied widely. Without live activity data, supervisors found out a station had fallen behind when the shift report arrived, and strong performers went unrecognized.
- Station productivity was only visible in end-of-shift reports
- There was no view of which seats were used, idle or overloaded
- Individual performance was hard to recognize and reward fairly
Live activity and utilization, station by station.
Connected to production floor cameras via an on-premise server
Existing production floor cameras fed a lightweight on-premise server Safari AI deployed in the Mexicali facility, so video was processed on site.
Measured activity at every workstation
Computer vision classified each occupied station as not active, moderately active or very active, and tracked which seats were in use.
Benchmarked stations and flagged early
Dashboards compared each station with its type's productivity average and alerted supervisors when activity dropped below benchmark.
Note: Illustrative data
More output from every station, and credit where it is due.
Every occupied station was classed as not, moderately or very active, and linked to its productivity numbers.
Most and least used seats were identified, so stations are staffed where the work is.
Alerts flagged the least engaged stations against their benchmark, so supervisors help during the shift instead of after it.
Action Center: From Insight to Action.
Measurements like these feed Safari AI's Action Center, which alerts a supervisor when a station falls below its benchmark.
- Real-time recommendations to improve KPIs via email, SMS, robocall, mobile app, Power BI, or API.
- Recommendations grounded in your own written SOPs, not generic best practices.
See this on your own production lines.
Reconext measured workstation activity and utilization across its Mexicali lines from existing cameras. We'll walk through which lines and stations are the best fit for a pilot on your cameras.
