TRAINING

Course Objective: The primary objective of this 3-day training course is to equip participants with comprehensive knowledge and hands-on skills in AI-driven vision inspection.

It aims to bridge foundational AI principles with practical industrial applications, enabling seamless integration of AI solutions into production environments using both open-source platforms and the AISVISION system.

Fundamentals of AI and Machine Learning:

• Introduction to Artificial Intelligence, Machine Learning, and Deep Learning.
• Core concepts of neural networks and their applications in vision tasks.
• Understanding how computer vision emulates human visual processing to analyze digital images and videos.

Practical Vision Tasks:

• Comprehensive coverage of classification, object detection, segmentation, and anomaly detection.
• Practical sessions deploying YOLO architecture for real-time object detection and classification.

Hands-on with AISVISION Platform:

• Comprehensive introduction to AISVISION software and hardware.
• Step-by-step project management: Object Detection, Classification, Anomaly Detection.
• Data labeling, model training, hyperparameter tuning, accuracy verification, and predictive analytics.

Data Preparation & Model Development:

• Techniques for preparing and labeling datasets using Roboflow and AISVISION integrated tools.
• Model training strategies, accuracy evaluation, and fine-tuning.

Real-Time Deployment and Integration:

• Export trained models to integrate into operational environments.
• API-based automation with AISVISION Runtime.
• Configuring industrial cameras for live data capture, real-time monitoring, and analysis.
• Strategies for streaming and interpreting live operational data.

Who Should Attend

• Engineers, Technicians, Quality Assurance professionals
• AI enthusiasts eager to apply vision inspection in real-world scenarios
• Professionals looking to enhance industrial processes through AI