Computer Vision Pipeline for Anonymized Retail Foot-Traffic Analysis
Entreprise partenaire — révélée une fois votre stage confirmé
Durée
2 mois
Modalité
Hybride
Localisation
London, United Kingdom
Compétences recherchées
Sujet du stage
Understand foot traffic patterns in a retail space, without ever identifying individuals — a privacy-conscious computer vision project with real business value. What you'll work on : • Build an object detection pipeline counting anonymized foot traffic from video/images • Aggregate counts into time-based traffic patterns • Document privacy-preserving handling of the input data What we're looking for : • Academic or hands-on experience with React/Next.js is a plus. • Familiarity with Pretrained Object Detection (YOLOv8) is a plus. • Initiative and a sharp eye for detail. What you'll get : • A mentor specialized in computer vision, available for questions, based on a progress report you send in • A real pipeline, deployable in a product context • Completion certificate issued based on progress • Top-performing candidates may be recommended for pre-hire or job opportunities
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