Scale AI
Case Studies
Enhancing Log Scaling and Inventory Management with Scale Rapid
Overview
Enhancing Log Scaling and Inventory Management with Scale RapidScale AI |
Analytics & Modeling - Computer Vision Software Sensors - Autonomous Driving Sensors | |
Equipment & Machinery | |
Facility Management Quality Assurance | |
Inventory Management Object Detection | |
Testing & Certification | |
Operational Impact
The results from using Scale Rapid have been overwhelmingly positive for TimberEye. The company deals with a ton of corner cases that are very difficult to cover perfectly, including odd types of damage, mud, moisture, lighting, bark, shadows, and a whole number of variables that can throw off a vision model. With the segmentation results from Scale Rapid, TimberEye was able to apply a much greater level of consistency over a much broader set of the weird cases they encounter, with a lot less opinion in the final result. They no longer have to worry about how they will perform after a rainstorm, or with a log getting crushed at the bottom of a pile. Furthermore, their customers are delighted when they receive multi-hundred page packing lists, itemized at the log level, with images of every single log and its measurements. This level of data access is unprecedented in the industry. | |
Quantitative Benefit
Reduced the scaling related labor requirements for several facilities by 50% | |
Improved accuracy by 1.2cm per log | |
Reduced the time to scale logs by 70-80% | |