Auto Deep Learning Model Trainer
Provides comprehensive training functionalities with no-code GUI
High performance training with Auto Deep Learning Algorithm
Supports initial model training, retraining, and model maintenance
Solution Partner
Solution partners for inspection system excellence
From line setup to full system and equipment integration,
we work with solution partners best suited to each project.
From line setup and equipment integration to full system integration, we work with solution partners best suited to your project.
From line setup and equipment integration to full system integration, we work with solution partners best suited to your project.
From line setup to full system and equipment integration,
we work with solution partners best suited to each project.
Roles of solution partners
Neurocle works with partners to build total vision inspection solutions tailored to customer requirements. Achieve required performance while reducing development burden by integrating AI with existing equipment and interfaces.
Auto Deep Learning Model Trainer
Provides comprehensive training functionalities with no-code GUI
High performance training with Auto Deep Learning Algorithm
Supports initial model training, retraining, and model maintenance
Auto Deep Learning Training Engine
Supports flexible exeuction modes (API / CLI)
Direct integration of training function on on-site systems
Efficient single / multi-GPU allocation for optimized system architecture
Auto Deep Learning Training Engine
Supports flexible exeuction modes (API / CLI)
Direct integration of training function on on-site systems
Efficient single / multi-GPU allocation for optimized system architecture
Runtime library for on-site deployment
Ensures reliable inference across diverse on-site environments
Support APIs to integrate model results flexibly into various UI and systems
Integration with existing systems and production line action control
Runtime library for on-site deployment
Ensures reliable inference across diverse on-site environments
Support APIs to integrate model results flexibly into various UI and systems
Integration with existing systems and production line action control
Auto Deep Learning Model Trainer
Provides comprehensive training functionalities with no-code GUI
High performance training with Auto Deep Learning Algorithm
Supports initial model training, retraining, and model maintenance
Auto Deep Learning Training Engine
Supports flexible exeuction modes (API / CLI)
Direct integration of training function on on-site systems
Efficient single / multi-GPU allocation for optimized system architecture
Runtime library for on-site deployment
Ensures reliable inference across diverse on-site environments
Support APIs to integrate model results flexibly into various UI and systems
Integration with existing systems and production line action control
Project scenarios with solution partners
Our solution partners help you build high-quality inspection solutions in diverse project scenarios.
1. Configuring initial production line
Configure systems that contains everything from camera and lighting selection to AI model application and equipment integration.
Roles of partners
• Selection of cameras, lenses, and lighting appropriate for the inspection purpose
• Imaging location and optical structure design
• Trigger and synchronization configuration suitable for the equipment speed
• Selection of industrial PCs and AI accelerator specifications
• Design of inspection logic and data storage structure
1. Configuring initial production line
Configure systems that contains everything from camera and lighting selection to AI model application and equipment integration.
Roles of partners
• Selection of cameras, lenses, and lighting appropriate for the inspection purpose
• Imaging location and optical structure design
• Trigger and synchronization configuration suitable for the equipment speed
• Selection of industrial PCs and AI accelerator specifications
• Design of inspection logic and data storage structure
2. Embedding deep learning into existing equipment
Add deep learning capabilities to existing equipment while maintaining the stability of the system architecture.
Roles of partners
• Design of a parallel/complementary structure between the existing inspection logic and AI results
• Equipment interface analysis and integration method definition
• Design for the expansion of industrial PCs and AI accelerators
• Integration of the existing UI and AI results screen
• Phased implementation and verification suited to on-site operating environment
2. Embedding deep learning into existing equipment
Add deep learning capabilities to existing equipment while maintaining the stability of the system architecture.
Roles of partners
• Design of a parallel/complementary structure between the existing inspection logic and AI results
• Equipment interface analysis and integration method definition
• Design for the expansion of industrial PCs and AI accelerators
• Integration of the existing UI and AI results screen
• Phased implementation and verification suited to on-site operating environment
3. Controlling equipment alongside inspection
Integrate PLCs, robots and other automation systems by controlling equipment based on AI inspection results.
Roles of partners
• Integration of deep learning decision results with PLC/robot control signals
• Design of OK/NG branching logic and exception handling
• Real-time communication setup aligned with equipment operation timing
• Design of response scenarios and alert systems in case of inspection failure
• Integrated management structure design for production and inspection data.
3. Controlling equipment alongside inspection
Integrate PLCs, robots and other automation systems by controlling equipment based on AI inspection results.
Roles of partners
• Integration of deep learning decision results with PLC/robot control signals
• Design of OK/NG branching logic and exception handling
• Real-time communication setup aligned with equipment operation timing
• Design of response scenarios and alert systems in case of inspection failure
• Integrated management structure design for production and inspection data.
Example project workflow
Neurocle’s partners provide customized solutions to customers from the initial evaluation stage to actual implementation.
Neurocle does not simply forward inquiries to its partners. We first understand the nature of the project and connect you with the most suitable partner.
Neurocle’s solution partners support customers from the initial evaluation stage through to actual implementation based on each customer’s specific situation.
1. Requirement clarification
Define suitable vision inspection roadmap based on product, production process, and quality standards.
2. System design
Design complete vision systems including cameras, lenses, lighting, and hardware.
3. Integration and setups
Integrate Neurocle software into equipment or lines and stabilize the actual operating environment.
4. On-site implementation and support
Achieve strong performance with on-site optimization and continuous technical support.
Collaborate with Neurocle to unleash your business potential.
Discover more about our partnership opportunities.
Discover more about
our partnership opportunities.