Industrial Robot Training Cell 6 Axis - Scara

ROC-001 system integrates robotics, AI vision, sensors, conveyors, IIoT, and AI voice assistance, managed through PLCs for precise control, Android application, Software Development training and SCADA for real-time monitoring. It provides a comprehensive platform
for advanced automation, voiceactivated system control, and Industry 4.0 applications.

FEATURES

• PLC
• HMI
• Industrial Actuator
• Industrial Sensor
• SCADA
• IIOT
• Artificial Intelligence
• Machine Vision
• Software Development
• Android Application
• Cloud Computing

LEARNING OBJECTIVES

• Set Up & Program Mechatronic Equipment.
• Set Up & Program Industrial Robot.
• Set Up & Program AI Vision System.
• Set Up & Program conveyor to transport Equipment.
• Set Up & Program PLC.
• Understand Safety Feature (Emergency Stop, Sensor).
• Set Up & Program Electrical Actuators Integration.
• IIoT enables real-time monitoring, data collection.
• Understand and implement SCADA systems to monitor and control industrial robots.

APPLICATION

• Visual Sorting: Sort parts by shape and colour using machine vision cameras.
• Defect Detection: Identify and reject defective parts through AI visual inspection.
• Material Segregation: Separate metal and non-metal parts using sensors.
• Weight Segregation: Classify parts based on weight for uniform processing.
• Palletising: Automatically place sorted parts onto pallets.
• Number Detection: Detect and segregate parts based on numerical identifiers.
• Path Following: To guide parts along a predefined path based on shape or features.

Learning Objective:

• Set Up & Program Mechatronic Equipment. Set Up & Program Industrial Robot.
• Set Up & Program AI Vision System.
• Set Up & Program conveyor to transport Equipment.
• Set Up & Program PLC.
• Understand Safety Feature (Emergency Stop, Sensor).
• Set Up & Program Electrical Actuators Integration.
• IIoT enables real-time monitoring, data collection.
• Understand and implement SCADA systems to monitor and control industrial robots.

Applications:

• Visual Sorting: Sort parts by shape and color using machine vision cameras.
• Defect Detection: Identify and reject defective parts through AI visual inspection.
• Material Segregation: Separate metal and non-metal parts using sensors.
• Weight Segregation: Classify parts based on weight for uniform processing.
• Palletizing: Automatically place sorted parts onto pallets.
• Number Detection: Detect and segregate parts based on numerical identifiers.
• Path Following: To guide parts along a predefined path based on shape or features.