AI introduction challenges | With MELSOFT Vixio |
Requires large amounts of images featuring good quality vs defective products to create accurate, precise AI models suitable for production. Generating AI models requires extensive preparation, making the process time-consuming and inefficient. | Quickly introduce AI into production, and generate AI models effortlessly with high-speed, high-accuracy solution, requiring a minimal setup. |
Even if an AI model could be generated implementing it in the system requires specialised programming. | Easily set up tasks at the machine in a low-code, flowchart format. Handle everything from model creation to monitoring in one tool. |
Keeping track of data is difficult because it is stored in different places, using different tools. | Complete batch traceability now combines inspection times, control data, images, and results in one accessible system - improving quality control and process efficiency. |
Period of use | Remarks |
1 year | All functions can be used |
Item | Recommended | Minimum |
CPU | Intel® Core-i7™ 9th generation (October 2018) or higher | Intel® Core-i5™ 9th generation (October 2018) or higher |
GPU | NVIDIA GPU Ampere Architecture or higherMemory: 8 GB or more | NVIDIA GPU Pascal™ Architecture or higherMemory: 6 GB or more |
Memory | 32 GB or more | 16 GB or more |
OS (64-bit version) | Microsoft® Windows® 10 Version 21H2 or later (Pro, Enterprise)Microsoft® Windows® 11 Version 21H2 or later (Pro, Enterprise) | Microsoft® Windows® 10 Version 21H2 or later (Pro, Enterprise)Microsoft® Windows® 11 Version 21H2 or later (Pro, Enterprise) |
Free storage space | 512 GB or more | 256 GB or more |
Period of use | Remarks |
Perpetual (one-time purchase) | Functions other than AI modelgeneration can be used |
Item | Recommended | Minimum |
CPU | Intel® Core-i7™ 9th generation (October 2018) or highe | Intel® Core-i5™ 9th generation (October 2018) or higher |
GPU | NVIDIA GPU Pascal™ Architecture or higherMemory: 6 GB or more | NVIDIA GPU Pascal™ Architecture or higherMemory: 4 GB or more |
Memory | 16 GB or more | 8 GB or more |
OS (64-bit version) | Microsoft® Windows® 10 Version 21H2 or later (Pro, Enterprise)Microsoft® Windows® 11 Version 21H2 or later (Pro, Enterprise) | Microsoft® Windows® 10 Version 21H2 or later (Pro, Enterprise)Microsoft® Windows® 11 Version 21H2 or later (Pro, Enterprise) |
Free storage space | 256 GB or more | 128 GB or more |
Item | Development License | Run-time License |
Number of projects | 16 projects/computer | 16 projects/computer |
Number of users | 16 users/computer | 16 users/computer |
Number of sets | 16 sets/project | - |
Number of registered images | 10,000 images/set | - |
Registrable image formats | jpg, jpeg, png, bmp | - |
Registrable image size | Max. 10,000 pixels horizontally and vertically | - |
Number of sets | 16 sets/project | - |
Number of simultaneously executable learning processes | 8 models/computers *1*2 | - |
Number of sets | 16 sets/project | 16 sets/project |
Number of simultaneously executable tasks | 4 tasks/computer | 4 tasks/computer |
Number of executable AI | 8 models/tasks *1*3 | 8 models/tasks *1*3 |
Number of connectable cameras | 8 units/computer *4 | 8 units/computer *4 |
Number of connectable programmable controllers | 8 units/computer | 8 units/computer |
Hardware standards | Software standards |
Conforms to GigE Vision® (Ver. 2.0) | Conforms to GenICam™ (Ver. 3.2.0) |