AI-Enabled Monitoring of Factory Workers

Improving Worker Safety and Food Quality Assurance with Camera-Based AI Detection System in a Food Manufacturing Factory
Using Edge devices, IP cameras and AI Box, the solution observes workers' movements within a factory and detects laborers who have collapsed or are injured or ill. The solution monitors suspicious acts such as unauthorized entry or work interruption. Once the status is judged abnormal, data is sent to VANTIQ and a supervisor is alerted.
  • The workers' movement data is gathered through edge devices, IP cameras, and AI Box (Jetson TX2).
  • Posture identification (Supervised Learning, In-house Teaching data is used) alerts when positions that do not occur in usual work are detected, such as a situation when a worker has fallen or is injured.
  • Detection of abnormalities in position, posture, number of workers, and moving area. Entry to the backside of the manufacturing line, higher or lower moving speed of workers, and detection of dollies or containers left out in working areas.
  • Detection of an abnormality such as unsupervised staff. By learning patterns of stored data over months, one can use pre-defined posture types and coordinate values for the detection of new data as an abnormality.
  • Development of notification rules. Defining rules for each abnormality creates an 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, means scary incidents nearly missed in Japanese. Enabling check records of anomaly detection on a dashboard.
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