Smart FACTORY
Additionally, we design and implement systems for predicting equipment failures and wear, ensuring uninterrupted production without downtime.
We provide extensive support to businesses through the development of advanced technologies, including computer vision-based systems for detecting defective parts, creating virtual sensors to simplify simulations, and implementing preventive measures to avoid industrial accidents.
Industries
AI in smart factory
AI GEEKS engineers help businesses implement and use artificial intelligence for automation, improving manufacturing efficiency, predicting equipment failures, optimizing production schedules, and much more. Our experts provide advanced solutions for selecting and tuning the appropriate technologies and machine learning algorithms, as well as assist in developing implementation strategies and scaling AI projects in the manufacturing environment. Additionally, upon request, AI GEEKS engineers can create customized solutions for businesses to address specific tasks, with easy integration and real results to improve productivity.
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Minimization of production defects - Timely equipment maintenance
- Breakdown warnings
- Increase in production
Production Optimization
- Automation of processes to increase the speed and accuracy of operations.
- Reduction of personnel costs through the automation of routine tasks.
- Supply chain optimization with demand forecasting and inventory management.
- Easy integration with existing systems (SCADA, ERP, MES).
- Improvement of product quality through predictive control.
- Optimization of logistics and production processes.
- Ability to quickly eliminate failures.
- Breakdown warnings.
- Ability to train staff without deep IT and data analysis knowledge.
- Minimizing unplanned downtimes and reducing repair costs.
- Using machine learning to predict equipment failures.
Predictive maintenance of equipment
- Implementing digital twins for real-time equipment condition monitoring.
- Flexibility and adaptation of solutions to the specific needs of the plant.
- Monitoring of workers' activities in production and immediate notification in case of emergency situations involving employees.
- Video analysis from cameras to prevent accidents and safety violations.
- Monitoring of work areas using computer vision and AI to prevent accidents.
Safety in production
- Real-time monitoring of compliance with safety regulations and standards.
- Cost reduction through accurate predictions.
- Improvement of raw material and component procurement planning.
- Data analysis for demand forecasting and production optimization.
Improving prediction accuracy
- Implementation of optimization algorithms for the operation of production equipment.
- Energy consumption analysis and identification of inefficient processes.
- Intelligent energy resource management.
Reduction of energy consumption costs
- Automation of product testing.
- Data analysis and early-stage detection of deviations in production.
- Computer vision for automatic quality control and defect detection.
Ensuring product quality
Benefits of AI in Smart Factory
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