________________________________________________________________________________________________ Main
Interview between what’ s physically happening on the frontline and what the system thinks is happening. That gap is the root cause of many downstream issues.
Talk about the main benefits that smart data capture offers manufacturers? Smart data capture transforms the simple act of pointing a camera at an object into a real-time intelligence layer. Manufacturers get end-to-end traceability, higher accuracy, and dramatically faster workflows thanks to automation; often with 30-50 percent efficiency gains. Solutions like multi-scanning enable workers to capture multiple items in one scan, and automated label scanning allows workers to capture barcodes and printed text simultaneously. Likewise, AR overlays not only speed up tasks but also create a more intuitive support experience for frontline workers.
Because it’ s software-driven, smart data capture runs on devices manufacturers already have- Scandit alone supports more than 20,000 smart device models- making it easy to scale.
What types of data are manufacturers most often overlooking or underutilizing? Three categories stand out for me: 1. Label and document data beyond the barcode: A lot of valuable information is printed on labels- serial numbers, batch IDs, expiry dates, text instructions. Historically, capturing that meant either manual typing or separate OCR systems, so it was often skipped. With solutions like Smart Label Capture, manufacturers can capture both barcodes and text in one pass and feed it directly into MES, QMS, or ERP systems.
2. Context at the edge: Manufacturers are good at recording what was produced and when, but they often miss the surrounding context that makes data actionable- things like where on the line an event occurred or what conditions were present at the time. Smart data capture can enable manufacturers to pair that information with relevant process data in their
manufacturing-today. com 13