Solution
High-Speed Industrial OCR
Go beyond simple pixel matching. Our AFSA platform reads inkjet, stamped, dot-peen, and engraved alphanumeric markings in real time.
Catch incorrect expiration dates and missing batch numbers before products leave your facility.
Millisecond Inference: Read text strings accurately at extreme manufacturing throughput speeds.
Highly Adaptable Neural Networks: Successfully interpret low-contrast, distorted, curved, or partially obscured fonts.
Zero-Code Variant Matching: Transition easily between different text formats and fonts during high-mix production changeovers.
Database Integration: Cross-reference scanned text with ERP, MES, or SQL backend databases instantly via REST API.
Industry Use Cases
Food & Beverage
Verifying correct best-before dates and lot codes on high-speed canning and bottling lines to eliminate batch rejection risks.
Pharmaceuticals & Cosmetics
Performing text validation on multi-variant labels to ensure regulatory trace-compliance across fast-moving consumer lines.
Metal Engineering & Plastics
Reading stamped serial codes, dot-peen markings, and molded part numbers directly from textured, safety-critical components.
AI based OCR
Traditional OCR tools count pixels and compare them to rigid geometric font templates. If lighting conditions shift slightly or a label is slightly wrinkled, traditional systems trigger a false error.
MarshallAI utilizes deep neural networks that read text contextually—similar to how a human inspector operates. The software isolates characters from complex, uneven backgrounds and texturing, enabling reliable reads on challenging surfaces like metallic aluminum cans, moving plastics, and reflective glass.
Eliminating the blind spots of Traditional OCR
| Feature | Legacy Machine Vision OCR | MarshallAI AI-Powered OCR |
|---|---|---|
| Surface Adaptability | Fails on reflective, curved, or low-contrast surfaces. | Reads effortlessly on aluminum, steel, glass, film, and textured metal. |
| Font Variety | Limited to specific pre-programmed typography. | Accommodates high-mix variations, print distortions, and dot-peen styles. |
| Line Speed Drop | High-precision text reads require slower conveyor belt speeds. | Maintains a 99.9995% accuracy rate at processing speeds up to 2,500 parts per minute. |
Case studies
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Eliminating Rogue Cans: High-Speed QA in Beverage ManufacturingA global beverage manufacturer spent 15 years trying to reliably intercept “rogue cans” on their high-speed filling lines. Discover how MarshallAI deployed a zero-latency edge vision system to inspect 2,500 cans per minute, preventing mismatched products and costly mechanical jams with near-perfect precision.
Beverage industry Quality assurance
Questions & Answers
Can MarshallAI handle varying print qualities or smudged characters?
Yes. Because our platform is driven by robust neural networks trained on variable data, it adapts to variations in print quality, character thickness, and slight smudging that would instantly blind a traditional pixel-based vision system.
Does our text verification data have to be uploaded to an external server?
No. The entire system executes locally and fully air-gapped within your facility via the Universal Edge Stack. Your text strings, product data, and production tracking metrics never leave the premises.
