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01
Data Pre-processing
Introduce utility and efficiency to raw data
02
ManageArtworks AI Framework
Deployment of AI for Image and Text Processing which is a hybrid approach
03
Feedback Mechanism
Error Analysis and feedback loop for accuracy improvement
Data Pre-processing
Introduce utility and efficiency to raw data
Organizes and annotates data from various sources such as Artworks, Pack inserts, Briefs, and Specification Documents
Provides types of data and tasks are identified automatically and segregated for analysis
Provides context-based high-fidelity computer generated examples and augments existing samples
ManageArtworks AI Framework
Deployment of AI for Image and Text Processing which is a hybrid approach
Image pre-processing, context based object detection, feature extraction from custom trained models and cognitive services (Azure, Google)
Text pre-processing, representation learning from custom trained NLP models and machine learning services (Google)
Models based on regulatory inputs (FALCPA, FSSAI, FDA, USDA, GS1)
Feedback Mechanism
Error Analysis and feedback loop for accuracy improvement
Partial automation of error analysis by understanding false positives and mis-detections based on artwork context
Loop back error analysis inputs by re-training AI framework to improve accuracy across both image and text data
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Karomi
Karomi Technology Pvt. Ltd., an ISO 9001:2015 company, is a cloud-based packaging and artwork lifecycle management system for Pharmaceutical and CPG companies.
- 56, Thirumalai Pillai Road, Chennai, TN 600017
- +91 72999 62646
- sales@karomi.com
© 2021 All Rights Reserved. Karomi Inc - an ISO 9001:2015 certified company