Flexibles et hautement compatibles : Contrôleurs de vision industrielle MVC
Les contrôleurs de vision industrielle de la série MVC conviennent aux applications de traitement d’images exigeantes. Ces contrôleurs sont dotés d’un puissant processeur i7 qui permet une vitesse de traitement exceptionnellement élevée et peut ainsi gérer des tâches complexes en temps réel. Une caractéristique remarquable de la série MVC est la multitude d’interfaces qui assurent une connectivité flexible. Ces interfaces permettent de raccorder une ou plusieurs caméras de vision industrielle ou capteurs de profil.
Performance supérieure h2>
Performances élevées grâce au processeur Intel® Core i7
Puissance de calcul supérieure avec une fréquence d’horloge de 4,4 GHz
Excellentes performances à des températures ambiantes comprises entre 0 et +45 °C
Connexion optimale h2>
Raccordement de caméras de vision industrielle et de capteurs de profils 2D/3D
Amélioration de l’efficacité grâce à la connexion simultanée de 16 appareils au maximum
Conception compacte pour une installation facile et peu encombrante
Connectivité élevée grâce à de nombreuses interfaces
Modules polyvalents pour l’analyse d’images et de profils – également avec assistance de l’IA h2>
Robotique avec le contrôleur de vision industrielle MVC
Your Start with wenglor AI
- Are you already using your own training platform or open source for your AI models? Import these easily into uniVision via the ONNX interface and run your AI models directly on the MVC machine vision controller.
- Are you looking for a suitable training platform for creating an AI model? Use the cloud-based AI Lab training environment.
High Performance AI Acceleration with OpenVINO™ h2>
The machine vision controller uses Intel®'s powerful OpenVINO™ Tool Suite to run neural networks within uniVision – such as Deep OCR, ONNX models and more – particularly efficiently. The toolkit automatically distributes the load for calculating neural networks to the available accelerators of the machine vision controller.
Advantages for the user:
Increased performance in executing deep learning models – ideal for demanding real-time image processing tasks
- Enables scalable execution of even complex deep learning models in ONNX format
Efficient use of resources – maximum performance with minimal energy consumption
HALCON Interface for Tailored Programming
- If setting parameters is not sufficient, the seamlessly integrated HALCON image processing library from MVTec offers unlimited possibilities in the creation of the individual algorithms.
- Individual programming of scripts in HDevelop enables complex applications to be solved.
- HALCON scripts created in HDevelop can be loaded directly via the uniVision Script software package.
- Parameterized modules and HALCON procedures can be linked without restriction.
uniVision Software License Packages
uniVision
- Inspection/sorting tasks
- Quality/characteristics/color testing
- Position tracking
- Positioning and orientation
- Blob analysis
- Presence/completeness check
- OCR
- Image Measure
uniVision Extended
1D/2D code reading
Image-based pattern matching
Deep OCR
uniVision Script
- HALCON script
uniVision Robotics
- Robotic Vision
- Robotic weld seam tracking
uniVision AI
- Image ONNX
- Image AI
Product Overview of Machine Vision Controllers
| Interface | uniVision 3 software | |
|---|---|---|
| MVCM001 | Digital Input / Output (DIO), Ethernet TCP/IP, UDP | uniVision |
| MVCM101 | Real-time Ethernet (RTE), Ethernet TCP/IP, UDP | uniVision |
| MVCE001 | Digital Input / Output (DIO), Ethernet TCP/IP, UDP | uniVision Extended |
| MVCE101 | Real-time Ethernet (RTE), Ethernet TCP/IP, UDP | uniVision Extended |
| MVCP001 | Digital Input / Output (DIO), Ethernet TCP/IP, UDP | uniVision Script |
| MVCP101 | Real-time Ethernet (RTE), Ethernet TCP/IP, UDP | uniVision Script |
| MVCV001 | Digital Input / Output (DIO), Ethernet TCP/IP, UDP | uniVision Robotics |
| MVCM001 | ||
|---|---|---|
|
Interface
Digital Input / Output (DIO), Ethernet TCP/IP, UDP
|
uniVision 3 software
uniVision
|
|
| MVCM101 | ||
|
Interface
Real-time Ethernet (RTE), Ethernet TCP/IP, UDP
|
uniVision 3 software
uniVision
|
|
| MVCE001 | ||
|
Interface
Digital Input / Output (DIO), Ethernet TCP/IP, UDP
|
uniVision 3 software
uniVision Extended
|
|
| MVCE101 | ||
|
Interface
Real-time Ethernet (RTE), Ethernet TCP/IP, UDP
|
uniVision 3 software
uniVision Extended
|
|
| MVCP001 | ||
|
Interface
Digital Input / Output (DIO), Ethernet TCP/IP, UDP
|
uniVision 3 software
uniVision Script
|
|
| MVCP101 | ||
|
Interface
Real-time Ethernet (RTE), Ethernet TCP/IP, UDP
|
uniVision 3 software
uniVision Script
|
|
| MVCV001 | ||
|
Interface
Digital Input / Output (DIO), Ethernet TCP/IP, UDP
|
uniVision 3 software
uniVision Robotics
|
|
Additional Highlights of the MVC Series
Compact housing 86 × 227 × 260 mm
Technical Features of the Machine Vision Controller
Left MVC101, Right MVC001
Network Connection Options
Separate, completely isolated networks significantly reduce the risk of data collisions and conflicts – for example between the uniVision software and the transmitted camera data.
Depending on the model, the MVCx001 (with digital inputs and outputs) offers two, and the MVCx101 (with RTE network) offers three physically separated networks. This separation ensures reliable, interference-free transmission, in particular for the time-critical image or profile data for further processing in the controller.
CAM Network: The four isolated CAM ports on the front allow up to four different devices to be operated simultaneously at 1 Gbit/s each on the MVC. Up to 16 devices can be connected simultaneously with the help of a network switch.
LAN network: Stand-alone LAN network via two RJ45 ports – ideal for connecting to other networks such as robots, laptops or PCs.
RTE Network: Separate RTE network via two RJ45 ports on the rear for communication with a PLC via PROFINET, Ethernet/IP or EtherCAT.
Versatile Applications with Machine Vision Controllers
Machine Vision Controller with Machine Vision Camera
Engine manufacturing in the automotive industry requires a visual, fully automated end-of-line quality control at the end of each production line. This prevents faulty engines from leaving the production line. For this purpose, a vision system consisting of several cameras, lenses and illumination is installed on several robot arms.