GitHub / intel-retail / automated-vending
Deploy sensor fusion technology for an automated checkout that enables real-time insight about the products consumers are buying using the EdgeX Foundry* extensible framework.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/intel-retail%2Fautomated-vending
PURL: pkg:github/intel-retail/automated-vending
Stars: 11
Forks: 12
Open issues: 2
License: bsd-3-clause
Language: Go
Size: 40.1 MB
Dependencies parsed at: Pending
Created at: over 5 years ago
Updated at: 4 months ago
Pushed at: 6 months ago
Last synced at: 22 days ago
Commit Stats
Commits: 17
Authors: 6
Mean commits per author: 2.83
Development Distribution Score: 0.588
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/intel-retail/automated-vending
Topics: computer-vision, deep-learning, edge, edge-ai, edge-computing, image-recognition, inference, intel, live-demo, machine-learning, object-detection, openvino, pretrained-models, real-time, reference-implementation, video