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.
The integrated collision analysis with the corresponding tubes ensures that no damage occurs to other tubes when samples are picked up
Detection and sorting of tubes based on different cap colors
Detection and sorting of tubes based on different cap colors
Measuring the diameter of the caps enables the gripper to be pre-positioned accordingly
The use of AI robotics provides consistent performance, regardless of factors like employee fatigue or variability in manual handling techniques
AI-based sorting leads to long-term cost savings by reducing labor costs, minimizing errors, and improving overall laboratory efficiency
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
AI based sorting is versatile and can handle different types of sample tubes, sizes, and formats
AI-based sorting systems can process and organize a large number of sample tubes quickly and continuously
Quicker and more accurate sample sorting with AI leads to reduced turnaround times for sample processing and analysis
