SolVision Product Description
SolVision is Solomon’s core AI visual inspection deep learning software. Compatible with over 20 leading robot brands, SolVision can be utilized for multiple applications and has delivered outstanding results in automation projects throughout the world.
SolVision Product Description
SolVision is Solomon’s core AI visual inspection deep learning software. Compatible with over 20 leading robot brands, SolVision can be utilized for multiple applications and has delivered outstanding results in automation projects throughout the world.
SolVision Features
Simple Industrial Robot and PLC Integration
Solvision provides easy integration with more than 20 robot brands and built-in PLC communications through the TCP/IP and Modbus communications protocol at no extra cost, allowing users and system integrators to choose the product that they feel most comfortable with.
User-Friendly Interface [Parallel Defect Detection Possible]
Our user-friendly design allows users to label several defect types at the same time, a very convenient feature in applications where multiple defects and features need to be simultaneously classified. Solvision can select multiple GPUs and graphic cards to disperse the AI computing load, allowing the users to carry out simultaneous detections at the same time.
Wide Range of AI Visual Inspection Applications
Solvision has delivered outstanding results in the semiconductor, LCD display, footwear, textile, automotive, welding, and a wide range of other industries. Its flexibility has allowed it to be implemented in several applications such as defect inspection, presence detection, counting, classification, optical character recognition, and many more.
SolVision Features
Simple Industrial Robot and PLC Integration
Solvision provides easy integration with more than 20 robot brands and built-in PLC communications through the TCP/IP and Modbus communications protocol at no extra cost, allowing users and system integrators to choose the product that they feel most comfortable with.
User-Friendly Interface [Parallel Defect Detection Possible]
Our user-friendly design allows users to label several defect types at the same time, a very convenient feature in applications where multiple defects and features need to be simultaneously classified. Solvision can select multiple GPUs and graphic cards to disperse the AI computing load, allowing the users to carry out simultaneous detections at the same time.
Wide Range of AI Visual Inspection Applications
Solvision has delivered outstanding results in the semiconductor, LCD display, footwear, textile, automotive, welding, and a wide range of other industries. Its flexibility has allowed it to be implemented in several applications such as defect inspection, presence detection, counting, classification, optical character recognition, and many more.
SolVision Applications
Push-through-package (PTP) blister production lines on average pack 5,000-40,000 tablets or capsules per hour, and are prone to occasional errors in filling. These production errors can range from unfilled and deformed blisters to inadequate or broken tablets or capsules.
Based on deep learning technology, SolVision can locate and mark the position of eggshell defects on sample images to train an AI inspection system. The AI model can then detect pores and cracks on the eggshell surface and classify eggs into the trained categories to meet safety standards and increase commodity value.
Mildew and stains sometimes remain in the bottle even after the disinfection process. However, checking for defects involves rotating and moving the bottle, and there is usually a product label in the way that makes it unfavorable for manual or traditional vision systems.
SolVision Applications
Push-through-package (PTP) blister production lines on average pack 5,000-40,000 tablets or capsules per hour, and are prone to occasional errors in filling. These production errors can range from unfilled and deformed blisters to inadequate or broken tablets or capsules.
Based on deep learning technology, Solvision can locate and mark the position of eggshell defects on sample images to train an AI inspection system. The AI model can then detect pores and cracks on the eggshell surface and classify eggs into the trained categories to meet safety standards and increase commodity value.
Mildew and stains sometimes remain in the bottle even after the disinfection process. However, checking for defects involves rotating and moving the bottle, and there is usually a product label in the way that makes it unfavorable for manual or traditional vision systems.
Production Line Defect Inspection Examples:
Contact Lenses
Metal Parts
Laser Welding
Processed Food [Chicken Nuggets]
Production Line Defect Inspection Examples:
Contact Lenses
Metal Parts
Laser Welding
Processed Food [Chicken Nuggets]
SolVision Cases
SolVision Specifications
| Module Name | SLM VISAI-S100 |
|---|---|
| Operating System | Windows 10 (64 bit) |
| CPU | Minimum: Intel Core i5 / Recommended: Intel Core i7 |
| GPU | Minimum: Nvidia GTX 1070 (RAM: 8GB) / Recommended: Nvidia RTX2080 Ti |
| RAM | Minimum: 16G / Recommended: 32G |
| Interface | Camera Interface |
| Coding Interface | Net framework 4.8 |
| Coding Language | C# |
| Compatible With | MVTec HALCON, NI LabVIEW |
| Language | English |
| Image Format | PNG, BMP, JPG, JPEG, JPE, JFIF, TIF, TIFF |
Specifications subject to change without notice.
SolVision Specifications
| Module Name | SLM VISAI-S100 |
|---|---|
| Operating System | Windows 10 (64 bit) |
| CPU | Minimum: Intel Core i5 / Recommended: Intel Core i7 |
| GPU | Minimum: Nvidia GTX 1070 (RAM: 8GB) / Recommended: Nvidia RTX2080 Ti |
| RAM | Minimum: 16G / Recommended: 32G |
| Interface | Camera Interface |
| Coding Interface | Net framework 4.8 |
| Coding Language | C# |
| Compatible With | MVTec HALCON, NI LabVIEW |
| Language | English |
| Image Format | PNG, BMP, JPG, JPEG, JPE, JFIF, TIF, TIFF |
Specifications subject to change without notice.