Bubble Detection AI

Add a real-time inspection layer to every fill, bead, and coating on the line with Roboflow Vision AI for bubble detection. Built for the processes where a trapped bubble in a potting compound, a void in a sealant bead, or froth in a fill turns into a leak, a failed bond, or a customer complaint.

Bubbles in fluids and fills:

• Detect and count air bubbles in clear and translucent containers, vials, syringes, and tubing on backlit stations, with a model trained on your own product.
• Measure bubble size and total bubble area and compare to your spec, so a few micro-bubbles pass and a large one fails.
• Watch foam and froth after filling so fill level is read correctly and the degassing step can be tuned.

Voids in beads, resins, and potting:

• Find voids, skips, and bubbles in adhesive, sealant, and gasket beads right after dispensing, where fluid dispensing inspection already checks path and width.
• Inspect resin, epoxy, and potting in electronics, encapsulated parts, and castings for trapped air before cure.
• Detect bubbles under labels, films, and laminates on packaging and displays.

Coatings, trends, and process control:

• Detect blisters, pinholes, and craters in cured coatings, paint, and powder coat, and separate them from dust and scratches.
• Trend bubble counts per nozzle, head, batch, and shift so the process engineer sees a pump, mix ratio, or degassing problem as it starts.
• Send a reject or hold signal to the PLC so a failing unit is diverted before it moves downstream.

Bring intelligence to every fill, bead, and coating today. Stop trapped bubbles from becoming leaks, weak bonds, and cosmetic rejects.

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Frequently asked questions

What is bubble detection with Vision AI?

Bubble detection with Vision AI uses backlit, line scan, or station cameras and a trained computer vision model (opens in a new tab) to find, size, and count air bubbles and voids in liquids, fills, adhesive beads, resins, potting, and coatings. The model separates bubbles from particles, scratches, and reflections, and results feed reject logic and process trends. It pairs with fill level inspection, adhesive and glue bead inspection, and particle detection in injectables.

Can Vision AI tell a bubble from a particle or a reflection?

This is the core problem in liquid inspection, because bubbles, particles, and glare can look alike in a single frame. A model trained on your own labeled images learns the round, bright-edged shape of a bubble under your lighting, and a short image sequence helps further, since bubbles rise and particles settle or tumble.

Does bubble detection support ISO 9001, IATF 16949, and GMP requirements?

Bubble detection supports the inspection and record-keeping expectations of ISO 9001 (the quality management system standard), IATF 16949 (the automotive quality management system standard, for adhesive and potting processes), and, for pharma and medical fills, cGMP and FDA 21 CFR Part 11 (electronic records and signatures), with a per-unit image and result record.

Roboflow serves as the inspection engine, and your quality and process engineering teams own the bubble limits, acceptance criteria, and validation.

Can it integrate with our filling, dispensing, and line controls?

Yes. Roboflow writes pass/fail and bubble metrics to a PLC tag over OPC UA, Modbus TCP, or MQTT, so Allen-Bradley and Siemens controllers can trigger a reject or hold, and dispensing systems from Graco or Nordson can be tuned from the trend. Results and images can be sent over REST (opens in a new tab) or written to a database for SCADA and MES platforms such as Ignition and AVEVA.

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