KOMPASS™ AI flags scratches, dents, chips, and foreign material at production speed. US lines move from sampled checks to full, unit-by-unit inspection.
Trusted by industry leaders for zero-defect production
Across the United States, quality inspection on many lines still means a person with a flashlight and a check sheet. Sampling covers a slice of output, and whatever it misses ships.
KOMPASS™ is the vision AI behind Jidoka's automated defect detection, built for plants in the USA. With Modular Vision Infrastructure holding the cameras in place, it grades each unit on the move, and your quality inspection team gets the evidence while the line keeps pace.
See it running on your line
Tell our engineers which surfaces scratch on your line and they will walk you through implementation, timelines and cost for your line.
Learn More - Talk to our expertSee it running on your line
Tell our engineers where dents show up on your parts and they will walk you through implementation, timelines and cost for your line.
Learn More - Talk to our expertSee it running on your line
Tell our engineers your grading criteria and they will walk you through implementation, timelines and cost for your line.
Learn More - Talk to our expertSee it running on your line
Tell our engineers your contamination risks and they will walk you through implementation, timelines and cost for your line.
Learn More - Talk to our expertSee it running on your line
Tell our engineers which edges fail today and they will walk you through implementation, timelines and cost for your line.
Learn More - Talk to our expertInspection runs on the cameras you already have on your line. No pilot line, no new hardware to install. We have mapped this deployment before, which is what makes it fast now.
We walk your line, confirm camera and lighting coverage, and scope the parts, surfaces and defects for inspection.
The model trains on your actual parts and your actual defects, with 20 samples per defect, not a generic defect library.
Inspection runs in shadow mode beside your current process, then goes live on your reject gate once accuracy is confirmed. Deployment takes 6–8 weeks.
Bring your parts and your toughest defects. We will scope a pilot on your line.
Comparison
Accuracy and consistency
~80 to 90%, varies by operator and shift
~90% on complex surfaces, drifts with the process
>99%, identical on every unit
Inspection coverage
Sampling, a fraction of units checked
Fixed positions, fixed part presentation
100% of units inspected inline
New part or new defect
Retraining people, and a new checklist
New templates, re-programming
Retrained from your own samples, with 20 samples per defect
Difficult surfaces
Judgement call under the light
Glare and texture break the rule set
Shiny, brushed, painted and transparent handled
Hardware
None, and no record either
Proprietary cameras and lighting rigs
Runs on the cameras you already have
Traceability
Paper logs, retrospective, no images
Pass or fail code, no context
Image history and defect data for every unit
First-Time-Right
Hope
Inspection after the fact
Right the first time, every shift
From biscuit lines to 360-degree bearing checks, these deployments show automated defect detection keeping pace with production.
High-speed biscuit inspection with automated quality control:
Labelled bottle inspection with AI vision system and modular hardware:
Defect detection in manufacturing is the check that stops flawed units from shipping. AI defect detection automates that visual inspection with cameras and a deep learning model tuned to your parts. The model scores every part against your own quality standard during inline inspection.
For varied or complex parts, yes. Rule-based machine vision defect detection compares each part to a fixed template, and each new revision means reprogramming. Computer vision defect detection with deep learning learns from real samples of your parts, and it catches cosmetic flaws that no one can write a rule for, such as faint scuffs or uneven paint.
Yes. Reflections shift as a glossy part moves, which is where rule-based visual inspection struggles most. KOMPASS™ learns your surfaces under your own lighting, and Modular Vision Infrastructure positions extra cameras where a defect only shows from one side.
Twenty examples per defect type, pulled from your own production runs. KOMPASS™ does not depend on a generic defect library.
Yes. A single defect escape can cost you a warranty claim, a return, or a line stop at a customer in the United States, and each false reject throws away a finished part. Catching the first and cutting the second shrinks both sides of your cost of poor quality. Payback for Jidoka customers runs 6 to 12 months.
Yes. KOMPASS™ adds automated defect inspection to your existing line. The AI defect detection system connects to the PLCs, robots, and conveyors already in place and sends quality inspection results to your MES and ERP.
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