AI-Enabled Monitoring of Factory Workers

Camera-Based AI Detection System in a Food Manufacturing Factory to Improve Worker Safety and Food Quality Assurance
Using Edge devices, IP cameras and AI Box, observe the worker’s skeleton and pose in a factory and also detect laborers who have collapsed or are injured or ill, and suspicious acts such as unauthorized entry or work interruption. Once the status is judged abnormal, data is sent to VANTIQ and alert a supervisor to the situation.
  • Gathering worker’s skeleton and pose data through edge devices, IP cameras and AI Box (Jetson TX2).
  • Posture identification (Supervised Learning, In-house Teaching data is used) inform when positions that do not occur in usual work are detected, such as a situation when workers who have fallen down or are injured.
  • Detection of abnormality in position, posture, number of workers and moving area. Entry to the backside of the manufacturing line, higher or lower moving speed of workers, Detection of dollies or containers left out in working areas.
  • Detection of an abnormality in unsupervised learning out of frequent operations. By learning patterns of stored data over months, one can use pre-defined posture types and coordinate values for detection of new data as an abnormality.
  • Defining notification rules. Defining rules for each abnormality makes the immediate notification of such abnormality. One can use appropriate communication channels such as email, LINE, SMS and smartphone apps for each notification.
  • Data Accumulations - Data for all abnormalities including predefined HIARI HATTO which means scary incidents nearly missed in Japanese. Enabling check records of anomaly detection on a dashboard.
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