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Check for surface foreign matter, dirt, damage, poor silk screen printing, incorrect or duplicate codes, size measurement, and issues with die-cutting, etc.
Applicable to various labels, paper boxes, PCB boards, silk screen nameplates, instruction manuals, transparent label sheet materials, etc., with a wide range of application scenarios.
Can accurately detect defects in silk screen printing and size deviations of metal/plastic nameplates (VIN code, engine label), QR code errors and omissions on high-temperature resistant wire harness labels, consistency of multilingual printing on paper card manuals, PCB board coding, reading codes, etc.
Can detect foreign objects/contamination on the surface of lithium batteries, poor printing on photovoltaic backplanes (blurry/offset fonts), size deviations in die-cutting, incorrect or duplicate QR codes, and materials such as cover paper, labels, and transparent packaging sheets.
Detect issues such as blurred printing of drug packaging box batch numbers/UDI codes, damaged sterile labels, or size deviations, covering scenarios like multilingual printing verification of instructions, production dates, expiration dates, etc., to eliminate medical risks caused by label errors.
Detecting the blurriness of energy efficiency labels, misalignment of icons, or damage to QR codes, verifying the consistency of multilingual instruction manual printing (such as CE/energy efficiency grade symbols), the AI system synchronously intercepts issues such as poor die-cutting of paper boxes and dirty anti-counterfeiting labels, ensuring export compliance and reducing after-sales complaint rates.
The paper box color printing LOGO is incomplete or has color differences, identifying the traceability QR code with incorrect or duplicate codes (such as the risk of mixed batches), synchronously intercepting foreign matter dirt on transparent labels, die-cut size deviations, packaging bag spray code dates, etc., metal can body nameplates, and instruction manual printing inspection.
The integrity of the waybill barcode is damaged/folded, the cold chain temperature control label data is complete, the identification of the packaging box die-cut size deviation leads to sealing failure, synchronously verifying the consistency of multi-modal transport waybill label information, supporting materials such as cartons, foam boxes, transparent tape labels, etc., the system achieves high-speed sorting, reduces mis-sorting and missed scanning, lowers transportation losses, ensures full traceability, and complies with ISO cold chain logistics standards.
Accurately detect the appearance defects of the brand hang tag (such as dirt, damage) and printing defects (such as screen printing offset, color difference), support the recognition of wrong codes and duplicate codes for one-dimensional codes/two-dimensional codes, and read the label character content in real time (such as batch number, ingredient information).
Detect defects such as knife wires, missing prints, color differences, overprinting deviations, and QR code misprints in soft packaging, color boxes, labels, and other materials. Support real-time quality inspection on high-speed production lines and integrate with the MES system to generate digital reports, ensuring compliance (e.g., FDA, ISO standards).