Maximize shelf space and fieldwork efficiency with advanced image recognition.
Capture and analyze real-time data with stationary digital cameras.
Leverage data-driven insights to improve your key performance metrics.
Access reliable data on price tags and marketing materials for effective analysis.
Automate quality control with AI-powered production line solutions.
Streamline trade marketing with our polished Sales Force Automation solution.
Optimize customer service with speech analytics for key employee performance indicators.
Secure your industrial environment with neural network-powered video analytics.
Neural network-based quality control system for production lines, automating rejection processes with unique parameters and eliminating human error.
Quality assurance
Defect detection
Performance analytics
Our support features are designed to meet the specific needs of the product line, providing convenience and reliability for customers.
The system can be adjusted to detect various defects such as deviation from reference forms, packaging issues, non-conformity with graphic packing parameters, and X-ray detection of product content.
Upon detecting a defective product, the system can discard it using hardware. The type of rejection device is determined based on product and line parameters.
SM Factory adapts to the customer’s production line configuration, allowing hardware components to be replaced with the customer’s existing equipment if technical requirements are met.
Users can train the neural network in the current operation mode for ongoing improvements.
We provide a comprehensive product approach, offering a complete solution that includes both hardware and software components.
Our product, aimed at bolstering your business, comes with a promise of significant improvements. We present a detailed, step-by-step walkthrough of its functionalities, allowing you to swiftly appreciate its impactful benefits.
The hardware and software complex is installed on the customer’s production line. Primary debugging and equipment adjustments are carried out. The modular structure allows SM Factory to be flexibly reconfigured based on customer needs and production line hardware characteristics.
The system undergoes commercial operation after training and test validation. Convolutional neural network algorithms enable the system to detect unique types of defects, including deviations from standard forms, packaging defects, graphical parameter inconsistencies, and X-ray product content detection.
Once SM Factory is in commercial operation, it continuously monitors product quality on the production line based on specified parameters. Upon defect detection, the system records the incident and carries out a predefined rejection and notification procedure according to customer requirements.
Data accumulated during SM Factory’s operation allows for analysis and adjustment of industrial processes to reduce the number of production defects.
We’ve gathered the most frequently asked questions about our solutions and provided answers below. Feel free to get in touch if any other questions arise.
By consistently offering best-in-class solutions and services, the aim is to redefine industry standards.
