Inspection inconsistency
Product name, specification, and date fields can become inconsistent during packaging checks.
By-Health Case Study
AI-powered packaging inspection for health food quality control
By-Health implemented an AI quality inspection approach to improve packaging consistency, reduce manual inspection errors, and build a scalable quality-control workflow across production lines.
Goal
In today’s highly competitive manufacturing market, quality is a core driver of enterprise success. The BY-HEALTH Smart Quality Control System uses AI inspection to improve production and packaging efficiency through automated quality checks and end-to-end monitoring.
As quality requirements continue to rise, manual inspection methods can no longer meet modern standards for precision and throughput. By introducing AI-driven inspection from the source, BY-HEALTH established a more reliable and scalable foundation for enterprise quality management.
Industry pain points
Typical packaging inspection challenges in food, health supplement, and pharmaceutical operations.
Manual inspection limits
Human-only inspection is prone to missed detection and can lead to major economic loss.
Business impact and risk
Packaging errors can cause financial loss, brand reputation damage, and potential large-scale recalls.
Rising operational cost
Low inspection efficiency and stricter compliance requirements increase total operational cost.
Solution overview
Edge-to-center architecture for real-time packaging inspection and model optimization.
Front-end edge AI devices
Handheld terminals, industrial cameras, and edge AI analytics work together to deliver comprehensive real-time packaging information inspection.
Intelligent central platform
- Real-time integration with production sub-systems.
- Production data is issued from center to edge terminals.
- Edge inspection data is aggregated and analyzed centrally.
- Cross-system data interaction supports assisted decision-making.
Private AI training platform
On-premise deployment enables rapid model customization, improves deployment efficiency, and lowers rollout and scaling cost for new inspection scenarios.