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Visual quality control made reliable by AI

Visual quality control made reliable by AI

A false reject stops a healthy production. An undetected defect ends up at your customer.

A false reject stops a healthy production. An undetected defect ends up at your customer.

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the problem

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the problem

AI-powered quality control is based on

Defect detection

Visual inspection

Perception of inspection robots

Quality Sensors & IoT

But:

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Models are mistaken in rare cases

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Actual conditions differ from the training data

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The system does not always know when it is wrong

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Models are mistaken in rare cases

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Actual conditions differ from the training data

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The system does not always know when it is wrong

Result

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False rejects of compliant parts: material waste, slowed production

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Defects delivered to the client: recalls and liability claims

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Unjustified production stoppages

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False rejects of compliant parts: material waste, slowed production

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Defects delivered to the client: recalls and liability claims

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Unjustified production stoppages

The real challenge is no longer average performance.
It is real-time reliability in critical and unexpected cases.

The real challenge is no longer average performance.
It is real-time reliability in critical and unexpected cases.

TrustalAI Vision brings a real-time reliability layer to your AI vision. We do not replace your models; we guarantee their level of confidence before action.
TrustalAI Vision brings a real-time reliability layer to your AI vision. We do not replace your models; we guarantee their level of confidence before action.
TrustalAI Vision brings a real-time reliability layer to your AI vision. We do not replace your models; we guarantee their level of confidence before action.

Our solution applied to quality control

Our solution applied to quality control

Our solution applied to quality control

Evaluates the reliability of each defect detection, in real time

Anticipates quality drift before defects appear (confidence interval)

Makes the perception of inspection robots reliable, image by image

Makes the perception of inspection robots reliable, image by image

Detects out-of-distribution situations (atypical cases)

Specifically:

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Automatic validation if high confidence

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Escalation to human control if there is uncertainty

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Blocking or double-checking in case of critical risk

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Automatic validation if high confidence

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Escalation to human control if there is uncertainty

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Blocking or double-checking in case of critical risk

We transform your AI vision into a controllable, explainable, and certifiable system.

You automate your quality control,
while making every decision more reliable.

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Waste reduction

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Fewer false declines

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Waste reduction

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Fewer false declines

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Fewer production halts

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Fewer production halts

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Reduced risk of recall

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EU AI Act Compliance

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Reduced risk of recall

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EU AI Act Compliance

Fault detection reliability

Fault detection reliability

01

Zero defective parts delivered

02

Less waste

03

End of unjustified stoppages

04

EU AI Act Compliance

01

Anticipated drift before faults

02

Reduced risk of recall

03

Reduced compliance costs

04

Proactive, not reactive quality

Anticipating quality drift

Anticipating quality drift

Visual inspection robots

Visual inspection robots

01

Full robot speed in safe mode

02

Operator safety

03

Consistent inspection quality

04

Fewer unplanned stops

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Switch to reliable quality control

Switch to reliable quality control