The VIEWAPP team has launched two neural networks designed to make the car inspection process faster, more accurate and more convenient.

✅ Automatic checking of angle matching in photos

Now the system itself matches the photos with the required ones at the inspection stage. This eliminates human errors, such as when the user accidentally confuses the sides of the car or purposely deviates from the set scenario.

✅ Damage recognition

The neural network detects defects and automatically highlights them, saving experts from having to manually view each photo at a larger scale.

Flexibility and accuracy: how neural networks work

Both technologies can be used together or separately, adapting to specific business challenges and inspection patterns. This allows businesses the flexibility to customise the inspection process depending on their needs.

These technologies open up new opportunities for businesses:

• Speeding up inspections 

Neural networks significantly save technicians' time by automatically analysing photos and pointing out discrepancies. They detect even tiny errors - whether it's an accidental mix-up in angles or an attempt to hide damage.

• Damage detection 

All defects in the photo will be clearly highlighted, making it impossible to miss them during visual inspection.

• Objectivity of analysis 

The system evaluates photos without subjective factors, ensuring transparency in the decision-making process.

• Minimising random errors 

In the face of high workload and information flow, neural networks help experts focus on the really important details, leaving the routine stuff to artificial intelligence

Personalised intelligence: how neural networks adapt to business needs

One of the key advantages of the new technology is its ability to learn from each company's specific data. Unlike generic solutions that work on a generic model, these neural networks will analyse real examples from a specific company and improve algorithms based on them.

This approach ensures high accuracy and personalisation: the system does not just detect inconsistencies and damage, but does so in a business-specific way. If a company has specific inspection requirements, the system will eventually ‘memorise’ them and automatically take them into account.

This learning mechanism allows neural networks to become more and more accurate and useful. The more data they analyse, the better they adapt to the company's tasks, helping experts to carry out inspections faster and more efficiently, eliminate errors and minimise subjective factors.

Thanks to this approach, every company gets a tool that evolves with its business, constantly improving its efficiency.

VIEWAPP's innovative neural networks will provide your inspections with a new level of accuracy and efficiency.