ProcessIQ
Vision System for Measuring Cycle Time and Detecting Missed Tasks in a Plant Floor SOP
MEET VisionIQ
Vision for Process Improvements
This camera-based vision system is designed to monitor plant floor operations, measure cycle times, and identify deviations or missed tasks in the Standard Operating Procedure (SOP). The system uses advanced computer vision algorithms, real-time object tracking, and AI models to ensure adherence to SOPs, improve productivity, and enhance quality assurance.
Real-Time Cycle Time Tracking
- The system accurately measures the start and end times of tasks performed by workers, tracking cycle times for each step of the SOP.
- This enables precise performance monitoring and helps identify bottlenecks in the process.
Task Completion and SOP Adherence Detection
- AI-powered action recognition models identify specific tasks performed by workers and verify adherence to the predefined SOP sequence.
- Missed, incomplete, or out-of-sequence tasks are detected and flagged in real-time.
Worker Action Recognition and Pose Estimation
- Advanced pose estimation and action recognition algorithms monitor worker movements to ensure correct task execution.
- The system can differentiate between various task types (e.g., assembling, picking, placing) based on motion patterns.
Integrated Reporting and Continuous Improvement
- Generates detailed reports on task cycle times, adherence rates, and missed tasks, providing insights for process optimization.
- Supports continuous improvement by highlighting areas for worker training and operational adjustments.