Virtual

Nous sommes impatients de vous présenter plusieurs nouvelles technologies et solutions intéressantes lors de l’exposition PACK EXPO Connects, notamment une démonstration de transfert intégrant la vision industrielle améliorée par IA. L’ajout récent de capacités de l’IA à notre système de vision industrielle FH vise à aider les entreprises d’emballage à différencier les vrais défauts des faux défaits et avec les différents modèles de produits.

Nous mettrons également en vedette les robots collaboratifs avec une démonstration de sélection de bac qui comprend notre cobot de la série TM et notre technologie d’imagerie 3D de la série FH qui prend en charge la production flexible en localisant rapidement et précisément les pièces dans un bac.

Notre système d’alimentation flexible AnyFeeder est une autre solution clé pour une fabrication flexible. Il sera associé à un automate programmable à l’aide de Sysmac Studio et exécuté sur un EtherCAT dans le cadre d’une démonstration de cellules robotiques.

Combien coûte l’admission à PACK EXPO Connects?

Il n’y a pas de frais d’inscription pour PACK EXPO Connects. Il sera possible de s’inscrire dès le 15 septembre, alors n’oubliez pas de réserver votre place!

See how our AnyFeeder combines vision, robotics and ACE software for a flexible, bulk part feeding system.

Part feeding can be costly and time consuming, especially when you need to change parts often, but not with our AnyFeeder flexible feeding system. Our AnyFeeder is designed for flexibility and rapid changeovers. With automatic vision, conveyor and robot calibration, our demo will show you how to achieve faster setup and reduced complexity. With integrated vision enhancing it's capabilities, you can eliminate mechanical barriers and increase speed and accuracy.

AnyFeeder
AnyFeeder

See our mobile collaborative robot solutinon using 3D vision for bin picking applications.

Our collaborative robot, when equipped with our new 3D vision camera, is able to pick up known objects with random overlapping positions out of a bin. Traditionally, this was difficult to automate due to varying weights, shapes and orientations of objects that require 3D location and different forces during picking. The 3D camera locates objects and sends their coordinates to the robot, while the software makes the advanced calculations required for optimized trajectory and force to pick up objects.  Our mobile LD robot then transports the sorted goods.

Bin Picking
Bin Picking

See the power of our Sysmac platform for high speed, synchronous control with 3 delta robots and 4 conveyors.

The complete automation solution for your robotics packaging line. Our multi-robot pick-and-place demo presents multiple integrated technologies designed to enable customization, including three high-speed delta robots working on four conveyors. Robotics and other technologies including vision, motion and control show how intelligent, modular design can create reusable functions and subsystems that improve application flexibility.

SysmacPnP
SysmacPnP

Traceability 4.0:  Learn how traceability goes beyond compliance and verification to process improvement

The liability implications of mislabeling products and recalls are substantial, plus regulatory agencies and standards organizations have introduced requirements such as the FDA's UDI (unique device ID) mandate. This demo will illustrate how you can optimize productivity and quality by tying product to process data. Our cameras and readers will showcase their ability to read 1D and 2D codes and identify other vision-oriented inspections such as defects and distances.

Traceability
Traceability

Watch our AI tools perform fine match and scratch detection on products with accuracy and speed.

AI functionality can identify abnormal machine behavior without being explicitly programmed to do so.  Leverage real time data and  machine learning to minimize downtime and realize cost savings at your plant. This demo shows you how raw data is automatically collected and how the system creates data models based on a correlation analysis. The system will then show you how it monitors machine status based on these data models.

Pnp wAI
PnP wAI