We’re proud to announce the development of a new WingScan feature called iD Point.
iD point uses image recognition, artificial intelligence, and machine learning to identify bulk materials in truck beds and open hopper rail cars and attach a Material Code to each measurement.
It learns from sample photos. Users upload images for any material, then run a “learning” step so the system can recognize that material in real time.
Sample photos → learned classes
A conceptual view of how distinct materials can become recognizable classes—ready to be tagged at measurement time:
The Significance of iD Point Image Recognition Applications in Volume Scanning
iD Point makes WingScan a fully autonomous multi-dimensional measurement system. What’s very exciting is that this is truly a first for the volumetric industry, as no one else can offer this technology except WingScan.
This means that volume measurements can convey material context in real-time without requiring additional steps.
What Does This Change Mean For Customers?
It means, in addition to WingScan’s trusted volume measurements and volumetric data, customers also now get these additional operational optimizations:
Status
IRA is in pre-release. We will share the launch date soon!
Want Access to iD Point Early?
Fill out the form below to request pre-release access—or call 423-698-0100 to speak with our team.