Field time tracking: attendance records without paper sign-in sheets
A paper sign-in sheet assumes one entrance and one shift
A classic attendance sheet works fine in a small office with a single entrance and fixed hours. In the field, those assumptions fall apart. Technicians come and go through different gates, work across several sites in a single day, take breaks at different times, sometimes step out for personal reasons mid-shift. Reconstructing from a paper sheet who actually worked how many hours turns into detective work for HR at the end of the month.
NFC-based time tracking solves this differently: instead of one sign-in sheet at the entrance, tags are placed where the work actually happens, and the system determines on its own what type of event to log.
How the system recognizes what a technician just did
The mechanism in Tracera is simple in principle: the system remembers a person's last recorded entry and uses it to automatically determine what the next scan represents. No prior entry, or the last entry was a check-out — the next scan is a check-in. After a same-day check-in — it's a check-out. A break that was started needs to end before anything else; a personal exit that was started needs to end before anything else. The technician doesn't manually pick "check-in / check-out / break" from a list — they scan the tag, and the app already knows where they are in the workday.
The system also enforces that the sequence makes sense: you can't log the end of a break that was never started, or a check-out while someone is formally on break. That eliminates a whole class of errors that simply pass unnoticed on a paper sheet, because nobody checks the logic of every entry by hand.
Schedules attached to the tag, not the person
Each NFC tag can carry its own schedule: a standard shift closing time, a maximum allowed shift duration, and even exceptions for specific weekdays — a different rule for Saturday than for Tuesday. If a technician forgets to scan a check-out, the system automatically closes the shift according to that schedule, instead of leaving an open entry that someone would have to fix by hand a week later, guessing when work actually ended.
Alerts that catch deviations before they hit the monthly report
The system can automatically flag late check-ins against a defined threshold time, shifts shorter than a set minimum, and missing check-outs. Instead of reviewing an entire month of entries by hand looking for anomalies, a manager gets a list of specific deviations to look into — before they become a problem at payroll time.
Export that doesn't require re-typing
RCP data can be exported to PDF, CSV, or pulled through the API — no manual transcription from cards into a payroll spreadsheet before every pay run. That's the most measurable benefit: the time HR loses every month reconstructing hours from paper disappears, because the data is complete from the moment the event was recorded.
What's worth keeping in mind
The system automates event-type recognition and enforces sequence logic, but it doesn't remove the responsibility of setting sensible schedules and alert thresholds. A badly configured "late check-in" threshold generates noise that a manager will start ignoring, which defeats the point of the alert. Configuring the rules is a one-time job worth doing properly, not a step to skip during rollout.
If your current field time tracking runs on a sheet at the entrance to one hall, and technicians work across several sites a day, you likely already have data that nobody can fully verify.