ORDER ACCURACY FOR QUICK-SERVICE RESTAURANT
Make delivery more reliable in QSRs. Computer Vision Scientist & AI Lead
Computer VisionAIAction RecognitionEdge Computing
Overview
This project is in the context of the work I developed at Satis AI, a startup based in London, as a Computer Vision Scientist and AI Lead. The project used computer vision techniques, such as action recognition, tracking, pose detection, semantic segmentation, bayesian inference, and others, to detect anomalies during packing operation in standard Quick-Service Restaurants (QSRs). We had to deal with both cloud-based and edge computing.
My Role
Computer Vision Scientist & AI Lead
Technologies & Skills
Action RecognitionTrackingPose DetectionSemantic SegmentationBayesian InferenceCloud ComputingEdge Computing
Key Achievements
- ✓Led AI development for QSR order accuracy
- ✓Generated reports and proposals for new technologies
- ✓Contributed to product steering and strategy