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 equipment and full system 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 and equipment integration to full system integration, we work with solution partners best suited to your project.
Roles of solution partners
Neurocle works with solution partners to build total vision inspection solutions tailored to customer requirements, achieving required performance based on on-site needs while reducing development burden by integrating 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
Projects conducted with solution partners
Collaborate with Neurocle solution partners to build high-quality inspection solutions even in diverse project scenarios.
For new production line equipments
For newly established lines, systems must be designed considering everything from camera and lighting selection to AI model application and equipment integration.
Role of our Solution 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
For new production line equipments
For newly established lines, systems must be designed considering everything from camera and lighting selection to AI model application and equipment integration.
Role of our Solution 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
For embedding deep learning into existing equipment
When adding deep learning capabilities to existing rule-based inspection equipment, AI must be integrated stably while maintaining the existing system architecture.
Role of our Solution 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
For embedding deep learning into existing equipment
When adding deep learning capabilities to existing rule-based inspection equipment, AI must be integrated stably while maintaining the existing system architecture.
Role of our Solution 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
For inspection with simultaneous operation control
When equipment has to be controlled based on AI inspection results, precise integration with PLCs, robots, and other automation systems is required.
Role of our Solution 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.
For inspection with simultaneous operation control
When equipment has to be controlled based on AI inspection results, precise integration with PLCs, robots, and other automation systems is required.
Role of our Solution 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 solution partners support customers from the initial evaluation stage through to actual implementation based on each customer’s specific situation.
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. Requirements analysis
Define suitable vision inspection roadmap based on product, process, and inspection standards.
2. System design
Complete vision systems design including cameras, lenses, lighting, and hardware.
3. Integration and setups
Integration of the Neurocle software into equipment or lines and stabilization in the actual operating environment.
4. On-site implementation and support
Production-focused tuning and technical support to ensure strong performance.
Collaborate with Neurocle to unleash your business potential.
Discover more about our partnership opportunities.
Discover more about
our partnership opportunities.