AI Module Integration is a comprehensive platform for embedding and orchestrating computer vision and data analytics models into existing customer business processes. The solution allows you to quickly deploy ready-made or custom AI modules, ensure their interaction with corporate systems (ERP, MES, SCADA), as well as configure end-to-end transmission and visualization of analysis results in real time.

Main features and functionality

• Data processing pipelines
Automatic preprocessing of images and videos (noise reduction, alignment, normalization). Pipelines for sequential application of multiple models (detection → classification → analysis).

• Computer vision
Real-time detection and tracking of objects (people, cars, agricultural machinery).
Classification of defects and anomalies on production lines.

• Data analytics
Collecting statistics on key metrics (number of events, downtime, efficiency)
Predicting failures and resource consumption based on historical data.

• Integration and API
REST and gRPC interfaces for fast embeddability in third-party applications. SDK packages for Python, C++, and Java.

• Monitoring and visualization
A web portal with dashboards for tracking results in real time.
Customizable alerts and notifications (e-mail, SMS, messengers).

• Model management
A repository of hot-swappable versions of AI models.
Automatic testing and validation of new versions before release.

Technologies used

• OpenCV — basic algorithms for image and video processing.
• TensorFlow & PyTorch — development and training of neural networks of various architectures.
• YOLO (You Only Look Once) — high-speed detection of objects in a video stream.
• ONNX is a single model exchange format for portability between frameworks.
• Docker & Kubernetes — containerization and orchestration of services for scaling.
• gRPC/ REST API — fast and reliable communication channels between components.

Target audience and customer segments

• Production
Automation of quality control, monitoring of equipment, optimization of assembly lines.

• Agriculture
Assessment of the condition of crops, detection of pests and plant diseases, spot fertilization.

• Logistics
Cargo tracking, route optimization, label and barcode recognition.

• Medicine
Pre-screening of medical images, diagnostic assistance, and analysis of large amounts of patient data.

Development and integration opportunities

• Edge calculations
Transferring some of the analytics directly to cameras or IoT devices to reduce delays.

• Integration with cloud platforms
Support for AWS SageMaker, Azure ML, Google Cloud AI for training and deploying models.

• Multi modal analysis
Combining data from video cameras, temperature/pressure sensors, and business metrics for comprehensive analytics.

• Automatic learning
Collecting feedback from the operator and further training of models on the fly (online learning).

• Integration with BI systems
Export results to Tableau, Power BI, Qlik for an end-to-end analytical report.

Conclusion

The integration of AI modules from AIS Sokol allows organizations from a wide variety of industries to quickly and painlessly integrate modern computer vision and data analytics methods into their business processes. The solution provides a high level of flexibility, scalability and ease of operation, allowing customers to:

• Significantly improve the efficiency and quality of production operations.
• Reduce operational costs by automating routine tasks.
• Make decisions based on reliable data in real time.

AI Module Integration platform opens up new horizons of digital transformation for enterprises of all sizes and directions.