Reference Work Entry

Machine Vision Handbook

pp 1289-1316

Automatic Produce Grading System

  • Donald BaileyAffiliated withSchool of Engineering and Advanced Technology, Massey University Email author 

Abstract

The development of a machine vision system for automated high-speed produce grading is described. Image processing techniques were used to obtain an estimate of the volume of each item, which was then related to the weight through a closed-loop calibration. Accurate weight estimation led to more accurate and better control over the spread of package weights. This reduced the average package weight by approximately 20%, with a standard deviation of 2.5 g for a nominal 100 g package. Improved processing efficiencies doubled the throughput and significantly increased the profitability of the packinghouse.