Software with computer vision analysis in a manufacturing plant
Challenge: The task was to develop a solution for task management in production companies combined with extracting data from production machines through sensors and PLCs.
Team: Python developers, Angular developers, Data scientists, Computer vision experts, QA experts, DevOps, UX designer and PM
Solution: The solution was successfully developed for the MVP phase and continued to include computer vision combined with tasks, procedures and read-only registers from PLC controllers. Currently using Python OpenCV & YOLO object detector integration from IP camera stream to extract workers' movements around specific industrial areas. We collect data first to perform supervised learning in later stages.
Status: Currently, the software is being integrated into 3 production plants in Bulgaria.
Key Metrics: Reduction of maintenance costs by more than 20% within a period of 1 year.