Problem
Research questions and friction points this paper is trying to address.
cable length estimation
industrial reels
manual measurement
computer vision
mobile device
CableDex: Cable Length Estimation on Industrial Reels Using a Handheld Device
🤖 AI Summary
This study addresses the inefficiency and low accuracy of manual length measurement for industrial cable reels by proposing an end-to-end vision-based method that estimates cable length from a single smartphone image. For the first time, camera calibration, instance segmentation, 6D pose estimation, and volume computation are integrated into a handheld device pipeline. The approach accommodates diverse reel types and cable diameters, enabling rapid length estimation from just one image. Trained on 1,000 annotated images, the instance segmentation model achieves a test-set mAP50 of 99.5%. Evaluated on 75 real-world cable reels, the system yields an average absolute percentage error of 4.90% with a per-image inference time of only 5.66 milliseconds, significantly enhancing both efficiency and precision in field measurements.
📝 Abstract
CableDex is a computer vision system that addresses the time-consuming and inaccurate manual measurement of cable length on industrial reels from a single photograph captured with a mobile phone. The system combines camera calibration, instance segmentation, pose estimation, and volumetric calculation to estimate the cable length across five different reel types and various cable sizes. This system is based on an instance segmentation model trained on 1,000 manually annotated images, achieving 99.5\% mAP50 with an inference time of 5.66 ms per image. Evaluated on 75 reels across five reel types, the system achieves a MAPE of 4.90\%, within the 10\% error tolerance commonly accepted in industrial cable-reel measurement. The demonstration presents the end-to-end pipeline, from reel label scanning and image capture to segmentation and length estimation, through the mobile application.
Innovation
Methods, ideas, or system contributions that make the work stand out.
cable length estimation
instance segmentation
camera calibration
pose estimation
mobile computer vision
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