Skip to content
MYVU SOFTWARE BETA

Unit Counting & Grading

Advanced AI analytics monitoring production lines to automatically count units, verify grading accuracy and identify discrepancies in real time.
Overview

Key Features

AI-driven camera monitoring designed to count units accurately and detect irregularities in egg grading and processing lines.

Automated Egg Counting

MYVU cameras monitor conveyor belts and automatically count eggs in real time, providing accurate production data without manual tracking.

Grading & Quality Detection

The system analyses eggs as they pass through the grading line, identifying abnormalities such as damaged, irregular or incorrectly positioned eggs.

Real-Time Production Insights

Live dashboards provide visibility of counting data, grading performance and detected anomalies, helping teams maintain efficiency and quality control.

Why choose MYDIS

Complete AI Counting & Grading Solutions

MYVU uses AI cameras to count eggs, monitor grading lines and detect abnormalities, helping improve accuracy, efficiency and product quality.
AI Egg Counting

AI Egg Counting

MYVU cameras monitor eggs moving along conveyor belts and automatically count units in real time. This provides accurate production data, helping operators track output and reduce the need for manual counting.

Counting & Grading Alerts

Counting & Grading Alerts

MYVU monitors counting accuracy and grading performance in real time. If abnormalities or discrepancies are detected, alerts are generated so operators can quickly review and maintain quality control.

Production Analytics Dashboard

Production Analytics Dashboard

The MYVU dashboard provides clear insights into counting performance and grading activity. Operators can quickly review analytics, monitor alerts and access detailed production data from one central view.

AI Egg Counting Counting & Grading Alerts Production Analytics Dashboard

Gallery

Carousel

FAQ

The system uses AI cameras to count eggs on production belts and monitor grading accuracy.
Yes. It can identify anomalies such as grading confidence drops or counting discrepancies.
Yes. Operators can view real-time dashboards showing counting performance and alerts.