Course Description
Computer vision enables automated visual inspection, defect detection, and quality control across manufacturing and industrial environments — tasks previously dependent on manual inspection. This course develops a practical understanding of how computer vision and deep learning are applied to industrial inspection.
Participants learn how image data is captured and processed, how convolutional neural networks detect defects and classify products, and how vision systems are deployed on the production line. The course connects computer vision techniques with real industrial inspection applications — surface defect detection, dimensional inspection, assembly verification, and safety monitoring.
What you will achieve
By the end of this training course, participants will be able to:
- Explain how computer vision applies to industrial inspection
- Understand image acquisition and processing fundamentals
- Describe convolutional neural networks for image tasks
- Apply defect detection and classification techniques
- Understand object detection and segmentation for inspection
- Evaluate computer vision model performance
- Understand deployment of vision systems on the production line
- Recognise the challenges and limitations of industrial computer vision
How the course is delivered
The course combines computer vision concepts with industrial inspection examples and demonstrations. Participants explore how image processing and deep learning detect defects and verify quality, using real inspection use cases.
The programme balances technical understanding with practical deployment considerations for production environments.
Designed for
This training course is ideal for:
- Quality and manufacturing engineers
- Automation and vision system engineers
- Industrial data scientists
- Process engineers adopting visual inspection
- Technical staff implementing quality control
Daily programme
- Computer vision in industrial inspection
- Image acquisition and cameras
- Image processing fundamentals
- Traditional versus deep learning approaches
- Convolutional neural networks
- Image classification for quality control
- Training and data requirements
- Transfer learning
- Object detection for inspection
- Defect detection and localisation
- Image segmentation
- Dimensional and assembly inspection
- Deploying vision systems on the line
- Edge deployment and real-time inspection
- Performance, limitations, and challenges
- Case study workshop and review
Certification & accreditation
BII Certificate of Completion
BII Certificate of Completion Upon successful completion, participants receive a BII Development Institute Certificate of Completion with a unique reference code that is independently verifiable. Our certificates are recognised internationally and reflect successful completion of your chosen programme.
