Computer vision

• Industrial quality control - automatically detect defects on a production line.
• Product recognition - identify an item from a single photo, in-store or in a warehouse.
• Automatic document reading - invoices, contracts, technical plans, handwritten forms.
• Behaviour analysis - gesture tracking, anomaly detection, customer experience measurement.
• Video and events - recognition of sports scores, license plates, real-time movements.

1. Precisely define the task - detection, classification, segmentation? The choice radically changes the approach.
2. Build a representative dataset and annotate it (variations in lighting, angle, quality).
3. Start from a pre-trained model and adapt it to the use case (transfer learning) - much faster than training from scratch.
4. Measure accuracy on real cases before any operational deployment.

• Data quality - blurry photos, poor lighting, variable framing produce unreliable models.
• Inference cost - large-scale real-time video processing is costly if the architecture is not well thought out.
• Compliance - facial recognition and behaviour analysis are strictly regulated (GDPR, bias, transparency).

Our offering Computer Vision covers the analysis of images and videos, from data collection to production.