Computer Vision
Applied Computer Vision
Five days building a complete vision system: detection, tracking and decision — with open-source tools.
IntermediateOn campus4.8(41)
3,900SAR
- Start date
- 11 January 2027
- Duration
- 5 days · 30 training hours
- Seats
- 10 / 16
10 seats left
A one-minute introduction from the trainer
Added after the recording session
Your trainer
Eng. Sara Alqahtani
Neural Networks & Computer Vision
Computer vision engineer who worked on visual inspection systems in industrial production lines, with published work in pattern recognition.
9 years of experience
Course outline
day by day
1
Days 1–2: Image processing
- OpenCV from the ground up
- Filters and feature extraction
- Handling changing lighting
2
Days 3–4: Detection and tracking
- Pretrained detection models
- Training on your own data
- Tracking across video
3
Day 5: The full system
- Wiring the model to a camera
- Automated decision and alerting
- Measuring latency
What will you build?
- A detection and tracking system running on a live camera
- A model trained on your data
- An automated alerting system
Who is this course for?
- Engineers in manufacturing and security
- Developers entering the vision field
And who it is not for
- Anyone who does not know Python
Prerequisites
- • Python basics
- • Machine learning background preferred
Completion certificate
An accredited certificate with a QR verification code linking to your Thinkers Club profile.
INVEX
Accredited completion certificate
QRThe course includes
- 30 hours in an equipped lab
- Cameras and edge devices for experimentation
- An accredited certificate
Trainee reviews
We applied the day-five idea to a real production line a month later.
Mishal Alqarni
Quality Engineer