Intelligently identify and remove defects in fruits and vegetables to improve the consistency of raw material quality
Through high-precision visual algorithms, it can identify moldy, worm-eaten, and damaged areas larger than 1mm², and automatically grade and remove them to ensure the freshness and consistency of raw materials entering subsequent processes.
Use Scenarios:
Applicable to the initial grading of fruits and vegetables such as apples, blueberries, carrots, and pumpkins.
emmy@jsblk.com