ÇOLBAN Elektrik Otomasyon

Vision-AI production and workforce analysis system

TAMGA

Measures cycle time and stoppages on the line

Monitors operations on the production line by camera; extracts cycle time, idle time and production rate.

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No facial recognition or identification is performed
No identity recognition

Only movement and duration are measured

TAMGA measures how much the line actually produces in how much time. It reports the duration of each operation and its share of the total, the time the station stands idle, the number of items produced and the average rate per minute. Through posture and movement analysis it flags ergonomically incorrect work patterns. The system does not perform identity recognition; only operation duration and movement are measured.

How it works

Three steps from monitoring to report.

  1. 01

    Monitoring

    The camera facing the station continuously monitors the operation and the operator's presence.

  2. 02

    Measurement

    The model distinguishes the start and end of each operation; durations and counts are accumulated.

  3. 03

    Reporting

    Cycle time, idle time, items produced and average rate are compiled into a report.

Technical specifications

System

Operating principle
Operation-duration and movement analysis from camera footage
Measured values
Operation duration and percentage, unmanned time, items produced, average rate per minute
Posture analysis
Bent posture and incorrect movement are flagged
Personal data
No facial recognition or identification is performed
Application area
Food processing, assembly and packaging lines

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