Eliminate mislabeling errors and barcode failures on the production floor before they reach your customers.
Kivo Eye uses AI computer vision to verify labels and barcodes in real time, directly on your manufacturing line, with zero slowdowns and no manual spot checking.
Every year, mislabeled products and unreadable barcodes cost manufacturers millions in recalls, customer returns, compliance penalties, and line shutdowns. These are not rare events. They happen every shift.
Manual inspection cannot keep up with modern production speeds. A human checker misses defects due to fatigue, distraction, and volume. Traditional barcode scanners reject good reads and pass bad ones. Paper based verification trails leave gaps that auditors find immediately.
The result is a product leaving your facility with the wrong label, an incorrect batch code, a smudged barcode, or missing regulatory markings. The liability is yours.
Kivo Eye is an AI computer vision platform built for industrial worksites and manufacturing plants. It connects to your existing cameras and integrates with your production line to perform continuous, automated Label and Barcode Verification at every station where it matters.
Kivo Eye reads every label on every unit as it moves through the line. It verifies that the correct label is applied, that it is positioned accurately, and that all required fields such as product name, batch number, expiry date, and regulatory codes are present and legible.
Computer vision Label and Barcode Verification goes beyond a simple scan pass or fail. Kivo Eye assesses barcode print quality, checks for smearing, distortion, and low contrast, and validates that the encoded data matches your expected values. It catches barcodes that will fail downstream scanners, in the warehouse, at retail, or at customs.
On high mix lines where SKU changeovers happen frequently, wrong label application is one of the most common and costly defects. Kivo Eye cross references each label against the active production order and flags any mismatch instantly, before the product advances to the next stage.
Units that pass through a labeling station without receiving a label are identified and held. No unlabeled product leaves your line undetected.
For industries with strict labeling requirements including pharmaceuticals, food and beverage, automotive components, and electronics, Kivo Eye verifies that all mandatory compliance markings are present, correctly formatted, and readable, giving you a complete, timestamped audit trail.
Kivo Eye is built on deep learning models trained on industrial labeling conditions, not ideal laboratory images. It handles motion blur, reflective packaging surfaces, curved label geometry, low contrast inkjet printing, and variable lighting conditions that cause traditional vision systems to fail.
Kivo Eye connects to line side cameras you already have, or works with recommended industrial camera hardware for new installations. No line redesign is required.
Your label templates, barcode standards, and product specifications are loaded into Kivo Eye. The system learns what a correct label looks like for every SKU on your line.
As units move through the line, Kivo Eye performs AI Label and Barcode Verification on every single unit, at line speed. Each inspection takes milliseconds.
When a defect is detected, a rejection signal is sent immediately to your line PLC or operator display. The unit is diverted before it advances. Production continues without stopping.
Every inspection result is logged with a timestamp, image capture, defect classification, and production order reference. You have a complete, searchable record for quality audits, customer disputes, and regulatory submissions.
Pharmaceutical Manufacturing Plants Serialization compliance, tamper-evident seal verification, and batch code accuracy are non negotiable. Kivo Eye provides the documentation and detection capability that pharmaceutical quality systems demand.
Food and Beverage Production Lines: Allergen labeling errors are a recall and a public health risk. Kivo Eye verifies ingredient declarations, date codes, and country of origin markings on every unit at packaging speed.
Consumer Electronics Assembly: Component traceability barcodes, regulatory certifications such as CE and FCC markings, and serial number labels are verified at every assembly and packaging station.
Automotive Component Manufacturing: Part identification labels, VIN barcodes, and traceability markings are checked against work order specifications in real time, supporting full supply chain traceability requirements from OEM customers.
Chemical and Industrial Products: Hazard classification labels, GHS symbols, and UN transport markings are verified for completeness and correct placement before products leave the facility.
Logistics and Distribution Centers: Outbound label verification confirms that the correct shipping label is applied to the correct carton before dispatch, reducing carrier rejections and delivery failures.
AI computer vision Label and Barcode Verification only delivers value when it is connected to your production environment. Kivo Eye integrates with leading MES, ERP, and SCADA platforms, sends reject signals to PLC systems, and writes inspection data to your quality management system.
Supported integration methods include OPC-UA, REST API, MQTT, and direct database write. For facilities already running SCADA or historian platforms, Kivo Eye fits into the existing data architecture without requiring a separate interface layer.
Kivo Eye is designed for the realities of manufacturing and industrial worksites. It runs on edge hardware installed line side, keeping inspection data on your network and reducing latency to milliseconds. It does not require a continuous cloud connection to operate.
For multi site manufacturing operations, a central dashboard gives quality managers visibility across all plants, with drill down into line level performance, defect trends, and inspection counts.
Initial deployment on a single production line typically takes two to four weeks from kickoff to go live, including camera installation, model configuration, integration testing, and operator training.
Reduction in mislabeling escapes to customers Manufacturers using AI computer vision Label and Barcode Verification on their lines report near elimination of labeled product defects reaching end customers, compared to sampling based manual inspection programs.
Faster line changeovers, Automated label verification means changeover sign off no longer requires manual checks of labeling accuracy. The system confirms correct labels are running within the first units of the new production order.
Audit ready documentation Every inspection result is timestamped and stored. Quality audits that previously required assembling records manually are now answered from the Kivo Eye dashboard in minutes.
Lower cost of quality Catching a label defect at the production line costs a fraction of a field return, a retail recall, or a regulatory fine. The return on investment for AI computer vision Label and Barcode Verification is typically measured in months, not years.
Yes. Kivo Eye AI computer vision models are trained on real industrial packaging including flexible pouches, bottles, shrink wrap, and curved cartons, where label distortion is common.
Kivo Eye performs inspections at line speeds up to several hundred units per minute, depending on camera configuration. For high speed lines, multiple camera positions and parallel processing ensure full coverage.
When you update a label template, the change is uploaded into Kivo Eye and the system begins verifying against the new design immediately. No manual reprogramming of inspection logic is required..
No. Kivo Eye runs on edge hardware installed at the line. Cloud connectivity is used for dashboard access, remote monitoring, and model updates, but inspection operations continue without it.
Yes. AI computer vision Label and Barcode Verification with Kivo Eye includes OCR based verification of variable print fields including dates, lot codes, serial numbers, and weight declarations, checked against your production order data.
The system is configured for the lighting and optical characteristics of your specific packaging materials. Industrial lighting setups including polarized and diffuse light sources are used where packaging creates challenging reflection conditions.
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