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Die Attach Inspection AI

Catch starved fillets, epoxy bleed, and chipped die before the thermal path fails at full power.

Die Attach Inspection AI Across Dispense, Placement, and Cure

  • Deploy Anywhere, Run Everywhere

    Run die attach inspection on the edge, on-prem, in your VPC, or via API, wherever your dispense stations, die bonders, and cure ovens need it.

  • One Platform, Full Adoption

    Tools every packaging team can adopt, from die attach operators and process engineers to dispense techs, packaging engineers, and quality managers, no separate ML team required to ship and own inspection models.

  • Secure, Compliant, and Audit-Ready

    Data stays safe with SOC 2 Type II compliance, encrypted data, and an uptime SLA, with per-lot records that support MIL-STD-883, AEC-Q100, and IATF 16949 documentation.

  • Die Placement & Rotation Checks
  • Epoxy Fillet & Coverage Inspection
  • Bleed & Contamination Flags
  • Die Crack & Chip-Out Detection
  • Solder & Sinter Coverage Checks
  • Per-Lot Inspection Records
“Roboflow has been instrumental in accelerating our deployment of innovative AI solutions.”

Travis Turnbull

Vice President & CIO, Pella Corporation

Talk to a vision AI engineer who's shipped die attach inspection.

A starved fillet that becomes a hot spot at full power, epoxy bleed that reaches a bond pad and costs you the wire that needed it, or a die chipped at pick-up and cracked by cure can mean a power module that fails at maximum current, a bonder yield problem diagnosed one station too late, and a failure analysis that ends at an interface nobody inspected. Bring us your toughest die attach problem and we'll map a working solution.

Ask us about:

  • Solution architecture for MIL-STD-883, AEC-Q100, and IATF 16949 environments
  • Live demo on your die attach imagery, fillet photos, or dispense station footage
  • Deployment options: edge, on-prem, air-gapped, or VPC, with integration into die bonders, factory hosts, and MES
  • ROI modeling against shear-test sampling, bonder yield loss, scrapped substrates, and field returns

Over 16,000 organizations build with Roboflow.

  • Rivian
  • Pella
  • Chobani
  • USG Corporation
  • BNSF Railway
  • American Woodmark
Start where you are

Vision AI is transforming businesses

Customers across the board are solving complex challenges and driving meaningful impact.

  • Automotive customer

    $10 million

    Saved by automatically detecting defects on the production line

  • Logistics & freight company

    90%

    Less time spent manually tracking shipping inventory

  • Building materials supplier

    60%

    Lower customer return rate with improved product quality

Inspect Every Die on Every Substrate, with Vision AI

Add a real-time inspection layer to every die attach with vision AI for die attach inspection. Built for the packaging floors where the joint under the die is the thermal path the whole device depends on, a fillet's height around four die edges is the only visible evidence of what's underneath, and the epoxy that bled two hundred microns too far costs a bond wire at the next station. Whether you're dispensing epoxy, placing die, or attaching power die with solder and sintered silver, Roboflow inspects every die, fillet, and substrate at line rate, with per-lot records behind every device.

Die Placement and Condition:

  • Verify die placement and rotation against substrate and pad geometry on every unit
  • Catch chipped and cracked die edges from dicing and pick-up, before cure stress finishes the crack
  • Flag contamination on die surfaces and bond pads while the next station can still be spared

Epoxy, Solder, and Fillets:

  • Judge fillet coverage and height along every die edge, catching starved joints and flooded ones
  • Detect epoxy bleed running toward bond pads and adjacent components, the film that costs the wire that needed the pad
  • Verify solder squeeze-out and sintered silver coverage on power die, where the joint is the thermal path

Lines, Stations, and Systems Integration:

  • Trend findings by dispenser, needle, and pick tool, so a clogging dispense needle shows up in starved fillets before it shows up in shear-test failures
  • Run consistent fillet judgment on every unit, against criteria that don't drift between operators and shifts
  • Route substrates in real time through factory host and MES integration, with per-lot records that support MIL-STD-883, AEC-Q100, and IATF 16949 documentation

Bring intelligence to every die attach today. Stop attach defects from becoming hot spots at full power, bonder yield mysteries, or the field return that ends at an uninspected interface.

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More About Die Attach Inspection

What is die attach inspection with Vision AI?

Die attach inspection with vision AI uses computer vision models to inspect the die attach process through dispense, placement, and cure: die placement, rotation, and edge condition, epoxy fillet coverage and height along every die edge, bleed toward bond pads, contamination, and solder and sintered silver coverage on power die. Models trained on your actual devices inspect every unit at line rate, with per-lot records that support MIL-STD-883, AEC-Q100, and IATF 16949 documentation.

Can Vision AI judge epoxy fillets and bleed?

The fillet is a judgment case, not a measurement case: a bead of epoxy whose height and continuity along four die edges is the visible evidence of the joint underneath, bleed that's a translucent film a few microns thick on a reflective substrate, and a tilt of a fraction of a degree that shows up only as fillet asymmetry. Deep-learning models trained on your actual devices, materials, and lighting learn what a healthy fillet looks like on each package, flag starved edges, flooding, bleed, and asymmetry, hold that judgment across dispense patterns and die sizes, and route uncertain units to review instead of guessing, on every device rather than an operator's sample.

Does this replace X-ray and acoustic microscopy?

No. X-ray and scanning acoustic microscopy keep owning what's under the die: voiding, delamination, and coverage at the bond line, and shear testing keeps the destructive strength record. Vision AI adds the visible layer those tools don't run at line rate: fillet coverage on every edge of every die, bleed caught before it reaches a pad, placement, rotation, and chipped edges, all upstream of cure while rework is still possible. Subsurface findings and visual findings land in the same per-lot record, and a starved-fillet trend usually reaches the dispenser before the SAM queue sees the void.

Can it integrate with our die bonders, factory hosts, and MES?

Yes. Roboflow Inference exposes a standard API and supports common industrial protocols, so die attach inspection events flow into your existing systems: die bonder and dispense station controllers, factory hosts alongside SECS/GEM equipment integration, MES and ERP platforms like SAP and Oracle, and SCADA and HMI platforms like Ignition and AVEVA, through REST, MQTT, OPC UA, and direct database writes. PLC-level integration holds a magazine or routes a substrate the moment a check fails, and every event carries lot, device, station, imagery, and disposition, with a full audit trail behind every shipment.

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