Optical weighing verification system

Raw Sugar cane Weighing is a crucial process in today's precision farming operations, yield forecast prediction models are evaluated and corrected whit real-life output data for correction, as much as 15% in yield forecast errors are introduced through weighing operations when truck drivers inadvertently position miss position trucks on scales, this process can be corrected an automated through machine vision by visual supervision, automation is necessary to ensure human error can be eliminated from the process.

Large truck ensembles make it difficult for human supervision due to time for each inspection can take several minutes, slowing mass processing.

Machine vision can automate this process and visually signal truck drivers corrections in position in all critical points of the scale in near real-time reducing errors in weighing operations

Bad truck position and introduction of error in weigh and yield estimation on the truck.

good truck position corrected via visual supervision.

an automation system is proposed in which the scale PLC is connected to a visual light system that validates or tells the driver to correct the truck position over the scale.