Designed to identify, predict, and mitigate workplace fatigue before it affects safety or performance.
In today’s high-demand, shift-based industries, worker fatigue poses a serious risk to safety, productivity, cost of incidents, and operational continuity. Traditional scheduling fails to account for real-time fatigue status, leading to slower reaction times, poor decision-making, reduced communication, and an increased risk of incidents. Over time, this leads to increased illness, absenteeism, and a loss of productivity. Fatigue isn’t just a safety issue; it’s a hidden cost impacting every layer of operations.
FIRM II Monitoring (F2M) is a cutting-edge fatigue risk management system designed to identify, predict, and mitigate workplace fatigue before it affects safety or performance. By combining predictive fatigue modelling with real-time monitoring, F2M provides decision- makers with instant visibility into worker fatigue levels—empowering them to intervene proactively and protect their teams. In addition to real-time reporting during each shift, F2M also provides managers with a predictive report at the end of every shift. This report identifies employees who may be at risk during their next shift, allowing managers to proactively address any concerns before the shift begins.
With seamless integration into your current time, attendance, and ERP systems, F2M makes fatigue visible, measurable, and manageable.
A fully integrated system delivering real-time visibility, predictive insights, and operational control across every shift.
Dashboards continuously display each employee’s fatigue status throughout their shift.
Combines historical and live data to forecast future fatigue risks using advanced biomathematical algorithms.
Uses the FIRM Scale to assign fatigue scores from low to severe, per employee.
Sends alerts to supervisors with recommended actions when thresholds are breached.
Tracks adherence to your fatigue-related safety protocols.
Monitors duration, rest periods, rotations, and risk exposure across teams.
Assesses post-shift fatigue to evaluate home travel risk and enhance worker safety beyond the worksite.
A science-backed system built to track, predict, and eliminate fatigue risk in real time.