Process layout
This automation solution utilizes twelve NACHI MZ07L robots and advanced vision tracking technology to stack fish cake products into plastic boxes. Even with irregular-shaped products like fish cakes, the system accurately recognizes the position of items moving on the conveyor and performs high-speed picking and placing into individual containers.
Components
| Robot |
|
|---|
Workflow
| STEP 1. | Infeed: Fish cake products are fed and transported via conveyor |
|---|---|
| STEP 2. | Vision Recognition: The system identifies the position and speed of each product in real-time |
| STEP 3. | Picking: The MZ07L robots pick up the products while the conveyor is in motion |
| STEP 4. | Stacking: The products are precisely loaded and stacked into plastic boxes |
Features
Maximize Space Efficiency with Compact Robotics
Ultra-Compact Footprint: The small-scale industrial robots allow for continuous installation and operation even in highly confined workspaces.
Enhanced Production Efficiency & Quality Control
Non-Stop Picking: Utilizes Vision Tracking to pick products in real-time while the conveyor is in motion, eliminating the need to stop the line.
Continuous Operation: Enables a seamless, idle-free workflow for maximum throughput.
Smart Sorting: Integrated sensing allows for the automatic detection and separation of products containing foreign materials, ensuring superior quality.
Results
| Key Benefits | Significant increase in productivity through continuous, automated manufacturing.
|
|---|---|
| Client Feedback | We expected automating irregular-shaped products to be a major challenge, but NKR's solution successfully resolved these complexities, allowing us to streamline our production.
|
Unauthorized copying or reproduction of any content on Marosol may violate the Unfair Competition Prevention Act and Copyright Act.
Recommended Solution
Snack Packing using Dual Epson G3 SCARA Robots
This application case features a high-speed snack alignment and loading solution utilizing two Epson G3 SCARA robots. By leveraging the rapid cycle times of SCARA technology, the system successfully picks and places products moving along a conveyor belt without interruption, ensuring seamless integration into high-volume production lines.
Recyclable Plastic Sorting using Delta Robots and Deep Learning
This solution utilizes 2D Vision, Deep Learning (Instance Segmentation), Reinforcement Learning (RL), and Motion Planning (OMPL) algorithms to rapidly recognize and sort recyclable plastics on a moving conveyor belt. The system features high-performance vision capable of quickly identifying objects even with highly irregular shapes. Through advanced motion planning, it executes sorting tasks with exceptional speed and precision.
Handling Corrugated Cardboard Boxes using UR10 and OnRobot HEX Sensor
This application case demonstrates a process for handling and stacking corrugated cardboard boxes on pallets using the Universal Robots UR10 and the OnRobot HEX force/torque sensor. By utilizing the HEX sensor to sense the exact position of the cardboard boxes, the robot can move accurately to pick and transfer the bundles. This eliminates the need for additional alignment jigs or vision solutions.