Prozess für Lab Automation

SMART SAMPLE TUBE HANDLING WITH AI

StartProzesse

Stetig steigendes Probenaufkommen und weniger qualifizierte Mitarbeiter: 87% der Labore in Deutschland haben nicht genug Personal, um das tägliche Arbeitspensum an Laborproben zu bewältigen. Schon heute müssen deutsche Labore rund 4.500 Proben pro Schicht von durchschnittlich acht Mitarbeitern manuell bearbeiten. robominds hat speziell für die Automatisierung des Handlings von eingehenden Probenröhrchen eine KI-Fähigkeit entwickelt. Diese Fähigkeit ermöglicht es Industrierobotern dank KI, die in einem Regal stehenden Probenröhrchen nach Größe und Farbe zu erkennen und zu sortieren. Übersetzt mit www.DeepL.com/Translator (kostenlose Version)

Features

Collision Detection

The integrated collision analysis with the corresponding tubes ensures that no damage occurs to other tubes when samples are picked up

Color Detection

Detection and sorting of tubes based on different cap colors

Simultaneous Sorting

Detection and sorting of tubes based on different cap colors

Tube Cap Measuring

Measuring the diameter of the caps enables the gripper to be pre-positioned accordingly

Impressions

No items found.
Bild 1
Bild 2
Bild 3

Use Cases

ASR 600

The smart robot cell for flexible sample handling

Technical Data
Functionality
AI Skllls
Download Factsheet

Est Suscipit

Temporibus pariatur reiciendis. Asperiores aut q

Eos pariatur qui
Omnis provident
Autem ipsum
Download Factsheet

Fugiat Deserunt

Ipsum perferendis repellendus itaque est id quo aut. Fugiat si

Atque dolorem
Totam non se
Minima est
Download Factsheet

Vorteile

Consistency

The use of AI robotics provides consistent performance, regardless of factors like employee fatigue or variability in manual handling techniques

Cost Savings

AI-based sorting leads to long-term cost savings by reducing labor costs, minimizing errors, and improving overall laboratory efficiency

Reduced Labor Intensity

By automating the sample sorting process, laboratories can reduce the need for manual labor, allowing lab personnel to focus on more complex and specialized tasks

Adaptability

AI based sorting is versatile and can handle different types of sample tubes, sizes, and formats

Increased Throughput

AI-based sorting systems can process and organize a large number of sample tubes quickly and continuously

Reduced Turnaround Time

Quicker and more accurate sample sorting with AI leads to reduced turnaround times for sample processing and analysis

Kontakt

Kontaktieren Sie uns jetzt!