Food Packaging Quality

Irista Vision AI helps customers improve packaging quality control process

Handheld Device App

Scan barcode and QR-Code, connect to MES system to acquire real time production data.

QC can take a photo and receive real time feedback to ensure quality of the packaging sticker.

Industrial Camera Support

Installed at the coding and labeling stations, it monitors packaging information in real time, detecting key data such as production batch, production date, and barcode.

Integrated with the PLC system, it instantly alarms and stops the machine upon detecting errors, preventing a large number of defective products from entering the market.

AI automatic recognition and comparison

Using deep learning models, it accurately recognizes packaging information and matches it with production data to ensure consistency.

Integrated with a private AI training platform, enterprises can independently train AI models to adapt to different products and production needs.

Privately deployed AI training platform

Allows enterprises to deploy locally, ensuring data security and meeting compliance requirements.

Enables rapid training and optimization of AI detection models based on historical and real-time production data.

Suitable for various types of food packaging, including the detection of printed characters, QR codes, barcodes, production batches, and expiration dates.

Intelligent Central Management Platform

Real-time aggregation of data collected from handheld devices and industrial cameras, integrating with MES, ERP, and WMS systems to achieve seamless data connectivity.
Production task information is issued in real-time, and detection data is instantly fed back, ensuring full process traceability.

>98%

Object recognition accuracy.

200+

Pre-trained for common industrial scene object detection.

10+

Industry-specific templates.

>50

Wide range of compatible network and USB cameras

Core Advantages

End-to-end coverage：
From pre-production quality inspection to real-time monitoring of the packaging process and data aggregation analysis, ensuring each stage is efficient, accurate, and compliant.

Improve detection accuracy and reduce reliance on manual labor：
AI automated inspection eliminates human errors, ensures high consistency of packaging information, and reduces the workload of quality inspection personnel.

System interconnectivity and real-time data exchange.：
Seamlessly integrates with enterprise production systems (MES, ERP, etc.), ensuring data consistency and enhancing production coordination efficiency.

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Rapid response to reduce production losses：
Industrial cameras integrated with PLC trigger an immediate alarm upon detecting errors, preventing defective products from entering the market.

Reduce costs and increase ROI：
Reduce manual labor, enhance inspection efficiency, and minimize recalls, fines, and brand damage caused by packaging errors.

On-premises deployment, ensure data security：
Enterprises can independently train AI models without relying on external cloud services, ensuring data privacy and compliance.