PLG AI
Intelligent Software for Industrial Automation
PLG AI is GPLG's intelligent software platform, developed to support industrial automation, manufacturing and engineering applications through artificial intelligence.
Designed to work alongside industrial systems, PLG AI can analyse information, identify patterns and support intelligent decision-making within real production environments.
Artificial intelligence becomes significantly more valuable when it is connected to real industrial processes.
PLG AI is being developed by GPLG to bring intelligent software capabilities into automation and manufacturing environments.
Rather than treating AI as a standalone technology, we integrate it into the wider industrial architecture.
PLG AI can work with information generated by machines, sensors, software systems and visual inspection processes to help transform industrial data into useful intelligence.
PLG AI is designed to work with the industrial environment—not separately from it.
WHAT IS PLG AI?
Computer Vision
Analyse images and video to identify objects, components, conditions and visual characteristics.
Applications can include inspection, classification, detection and positioning.
Pattern Recognition
Identify patterns within industrial information that may not be immediately visible through conventional monitoring.
Intelligent Classification
Classify products, components, events or process conditions according to predefined or learned characteristics.
Predictive Analysis
Analyse historical and real-time information to identify trends and potential changes in process behaviour.
Anomaly Detection
Identify unusual patterns or conditions that differ from expected process behaviour.
Intelligent Decision Support
Provide information and recommendations that can support operators, engineers and automated systems.
PLG AI + INDUSTRIAL AUTOMATION
01-Industrial Environment
02-Sensors / Cameras / Machines
03-Data Acquisition
04-PLG AI
05-Analysis & Decision
06-Industrial Software
07-PLC / Automation System
08-Machine / Process
AI becomes useful in industrial automation when its output can be incorporated into the actual process.
PLG AI can be integrated into an industrial architecture where AI-generated information is used by software, operators or automation systems.
The level of integration depends on the application and required control architecture.
HOW PLG AI WORKS
From Industrial Data to Intelligence
Giving Machines the Ability to See
Industrial cameras can provide significantly more information than simple presence detection.
PLG AI can support applications involving:
- Object detection
- Product classification
- Defect identification
- Component recognition
- Position detection
- Visual verification
- Automated inspection
Workflow
Identify Changes Before They Become Problems
Industrial equipment generates information continuously.
PLG AI can analyse historical and real-time information to identify patterns that may indicate changes in equipment or process behaviour.
- Predictive maintenance
- Process anomaly detection
- Equipment condition analysis
- Production trend analysis
- Quality prediction
AI models can identify patterns associated with abnormal or changing operating conditions, supporting earlier investigation and intervention.
Intelligent Inspection
Quality inspection can combine traditional automation with AI-based analysis.
For example:
Potential applications include:
- Surface inspection
- Component verification
- Assembly verification
- Product classification
- Defect detection
- Presence/absence inspection
The inspection architecture is designed according to the characteristics of the product and production process.
Intelligent Information for Robotic Systems
AI can provide information that helps robotic systems respond to variable environments.
For example:
PLG AI can therefore become part of an intelligent robotic cell when the application requires vision-based or data-driven decision making.
PLG AI + CNC
Intelligence Around CNC Manufacturing
AI can also be applied around CNC manufacturing processes.
Potential applications include:
- Machining data analysis
- Anomaly detection
- Process optimisation
- Tool condition analysis
- Production analysis
- Quality inspection
PLG AI can work alongside CNC systems without replacing the machine controller itself.
PLG AI + INDUSTRIAL DATA
AI Needs Good Data
Artificial intelligence is only as useful as the information available to it.
For industrial applications, data may come from:
- PLCs
- Sensors
- Machines
- CNC equipment
- Cameras
- Production systems
- Historical records
PLG can design the surrounding software architecture required to collect, process and prepare information for AI applications.
AI is not simply a model. It is an entire engineering system built around data.
PLG AI ARCHITECTURE
Designed to Work Within Existing Industrial Environments
PLG AI is designed as part of a broader industrial software architecture.
Depending on the project, the AI layer can interact with automation systems, industrial software, visual inspection systems and production information.
AI DEVELOPMENT TECHNOLOGIES
Technologies Behind PLG AI
From Industrial Problem to AI Application
Identify the industrial problem that AI needs to solve.
Determine what information is available and whether it is suitable for the application.
Select the appropriate AI or machine-learning methodology.
Develop and train the required models.
Evaluate performance against real-world industrial requirements.
Connect the AI application to the surrounding software and industrial architecture.
Deploy the solution in the target environment.
Monitor performance and improve the model as the application evolves.
AI Engineered for Real Industrial Environments
AI is designed around the actual process.
Models are developed around relevant and reliable information.
AI applications can be incorporated into wider industrial architectures.
The system should provide useful information about its output where the application requires it.
The architecture can evolve as additional data and requirements become available.
AI is used when it provides a genuine advantage over conventional approaches.
Technology Is Not the Objective
Artificial intelligence should not be introduced simply because it is available.
The first question should always be:
What problem are we trying to solve?
AI may be appropriate when a process involves:
- Large amounts of data
- Complex patterns
- Variable visual information
- Repetitive classification
- Difficult-to-program decision processes
- Predictive requirements
- Continuous process analysis
When conventional automation is the better solution, we use conventional automation.
The right engineering solution is more important than the technology used to achieve it.
Where PLG AI Can Be Applied
Intelligent visual inspection and object analysis.
Analysis of equipment behaviour and operating patterns.
Automated inspection and classification.
Analysis of production information to identify opportunities for improvement.
Vision and intelligent decision support for automated cells.
AI-assisted analysis of industrial information.
Bring Intelligence Into Your Industrial Process
PLG AI combines artificial intelligence, software engineering and industrial automation to create intelligent solutions for real manufacturing environments.
From visual inspection and anomaly detection to predictive applications and intelligent automation, we develop AI systems around the requirements of each project.