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.

screenshot of SolVision machine vision software interface

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.

company logos of 20 robot brands that SolVision is compatible 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.

examples of SolVision applications: OCR, fast item identification, recognizing features and location, pattern matching and categorization, defect inspection

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.

company logos of 20 robot brands that SolVision is compatible 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.

screenshot of SolVision visual inspection software interface showing parallel defect detection feature

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.

examples of SolVision applications: OCR, fast item identification, recognizing features and location, pattern matching and categorization, defect inspection

SolVision Applications

Absence Detection

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.

Categorization

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.

Defect Identification

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

Absence Detection

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.

Categorization

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.

Defect Identification

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

OK contact lense and NG contact lense example of production line AI detection using SolVision

Metal Parts

OK metal part and NG metal part example of production line AI detection using SolVision

Laser Welding

OK laser weld and NG laser weld example of production line AI detection using SolVision

Processed Food [Chicken Nuggets]

OK chicken nuggets and NG chicken nuggets example of production line AI detection using SolVision

Production Line Defect Inspection Examples:

Contact Lenses

OK contact lense and NG contact lense example of production line AI detection using SolVision

Metal Parts

OK metal part and NG metal part example of production line AI detection using SolVision

Laser Welding

OK laser weld and NG laser weld example of production line AI detection using SolVision

Processed Food [Chicken Nuggets]

OK chicken nuggets and NG chicken nuggets example of production line AI detection using SolVision

SolVision Cases

  • Cars on an automotive production line being welded by robots
  • Vials on a pharmaceutical production line
  • Heart-shaped cookies on a conveyor
  • Selection of metal engine parts
  • stack of sheet metal in a warehouse
  • Optoelectronics
  • PCB closeup
  • plastic binder spines of various colors
  • Semiconductor wafer fabrication closeup
  • robot arm in textile warehouse

SolVision Specifications

Module NameSLM VISAI-S100
Operating SystemWindows 10 (64 bit)
CPUMinimum: Intel Core i5 / Recommended: Intel Core i7
GPUMinimum: Nvidia GTX 1070 (RAM: 8GB) / Recommended: Nvidia RTX2080 Ti
RAMMinimum: 16G / Recommended: 32G
InterfaceCamera Interface
Coding InterfaceNet framework 4.8
Coding LanguageC#
Compatible WithMVTec HALCON, NI LabVIEW
LanguageEnglish
Image FormatPNG, BMP, JPG, JPEG, JPE, JFIF, TIF, TIFF                                                     

Specifications subject to change without notice.

SolVision Specifications

Module NameSLM VISAI-S100
Operating SystemWindows 10 (64 bit)
CPUMinimum: Intel Core i5 / Recommended: Intel Core i7
GPUMinimum: Nvidia GTX 1070 (RAM: 8GB) / Recommended: Nvidia RTX2080 Ti
RAMMinimum: 16G / Recommended: 32G
InterfaceCamera Interface
Coding InterfaceNet framework 4.8
Coding LanguageC#
Compatible WithMVTec HALCON, NI LabVIEW
LanguageEnglish
Image FormatPNG, BMP, JPG, JPEG, JPE, JFIF, TIF, TIFF                                                     

Specifications subject to change without notice.

Have any questions?

Find out how SolVision can support your project

Have any questions?

Find out how SolVision can support your project