TM AI+ Trainer
Elevate Your Production: Smart Training for Intelligent Factories
TM AI+ Trainer is a software tool designed to streamline the management and training of AI models in factory automation. It simplifies the process of handling image data and setting AI training parameters. Easily train AI models suited for specific needs that can be integrated with robot arms and machine vision. This solution creates a robust combination, enhancing the functionality of cobots, machine vision, and AI.
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Hauptmerkmale
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Train your AI model effortlessly
• Features an intuitive graphical interface for easy learning
• Browser-based software accessible from any web browser
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Outstanding performance for diverse scenarios
• Employs powerful AI Vision technologies
• Includes OCR, anomaly detection, classification, object detection, and semantic segmentation
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Secure Your Data
• Ensures the security of all image data for AI training
• Data is stored locally to protect enterprise-classified information
4 Schritte zum Training eines KI Modells
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Sammeln von Datenmaterial
- Nehmen Sie mehrere Fotos des Objekts auf und laden Sie diese auf den TM AI+ Trainer hoch
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TM AI+ Trainer
- Wählen Sie den Typ der Bildverarbeitungsaufgabe: Klassifizierung, Erkennung oder Segmentierung
- Beschriften Sie die hochgeladenen Bildbeispiele
- Konfigurieren Sie die Trainingsparameter und beginnen Sie mit dem Training
- Evaluieren Sie das Trainingsergebnis
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Training
- Configure the training parameters and initiate the training process
- Evaluate the training outcomes
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AI Modell importieren
- Laden Sie das angelernte KI-Modell vom Trainingsserver auf den TM AI Cobot oder auf die externe Kamera
- Beginn der KI-Interpretation
Möglichkeiten von KI Anwendungen
Montage Inspektion
Klassifizierung
Inspektion von Fehlern
Zählung/Erkennung
Inspektion von Kratzern/Schnitten/Dellen
KI OCR
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Checking if the tires are wrapped with PE film
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Checking if all wires are connected correctly
Content assembly missing parts detection
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Sorting different materials for wooden furniture
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Sorting the front and back side of the bubble wrap
Pizza flavor and crust type identification
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Identifying objects with damage on the edge
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Checking if there are metal scraps within the iron cylinder
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Counting object numbers in the tray
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Checking if there are missing components on the PCBA
Object detection and 3D positioning
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Checking scratches on DRAM gold fingers
Dent detection on metal casting
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Label text reading