How VIEWAPP digital inspections are evolving
Digitising inspections is a big step towards technology and the foundation of a modern service where speed, accuracy and protection from human error are important.
Today, digital inspections are not an option, but a necessity. The automation of processes allows companies to reach a new level of profitability, while reducing costs and implementing mechanisms to increase trust and transparency.
VIEWAPP, which began as a solution for remote pre-insurance inspections of cars, has now evolved into a comprehensive anti-fraud AI platform capable of automating inspections of objects of any complexity - from passenger cars to real estate and special equipment.
The first step in the evolution of VIEWAPP is the digitalisation of inspections. Photo and GPS data transmitted by the client became the basis for remote assessment of the object's condition. At the same time, a constant stream of fraudulent attempts - from photo tampering to coordinate manipulation - revealed an urgent need for serious intellectual defence, which needs constant pumping up.
Today, VIEWAPP uses a complex combination of technologies: checksums to verify file integrity, screen photo detectors, image quality assessment systems, neural networks to analyse GPS data and routes, and computer vision algorithms to automatically detect damage.
Artificial intelligence vs. frod
Neural networks and machine learning algorithms play the role of an intelligent layer that reinforces the reliability and accuracy of the system at every stage of inspection.
This is the much sought-after add-on that complements the core architecture of the platform and enables the detection of anomalies, tampering and damage with a high degree of accuracy. The use of artificial intelligence on VIEWAPP's digital inspection platform can be compared to an active safety system in a car, it is they who provide the confidence that the inspection route will be safe and correct.
They are able to:
- distinguish a screen photo from a photo of a real object by moiré effect, luminescence and pixel grid;
- verify the validity of GPS coordinates by detecting route anomalies, duplicate points or tracking ‘gaps’;
- identify damage and compare it to parts catalogues and repair standards;
- analyse the driving path and identify sharp, illogical turns indicating route spoofing or tampering;
- detect abnormal accelerations or decelerations that are not characteristic of the real situation;
- detect artificial duplication of GPS points, when coordinates are suspiciously coincident or absent;
- check photo quality - from sharpness to colour palette - and filter out low-quality images even before the analysis stage.
This allows you to make quick decisions, reduce risks and almost eliminate the human factor in data authentication.
Versatility and scalability
VIEWAPP has become more than just a service for insurance companies. Today it is an intuitive digital constructor of inspections for any business - a tool that allows you to create flexible scenarios for the tasks of banks, leasing companies, government services or classifides.
Each case study - from pre-insurance inspections to collateral property valuations - can be customised to the needs of a specific partner, including branded app build, web interface and API integrations.
The platform of the future
VIEWAPP doesn't just recognise, it learns. A cycle of continuous neural network training on new data, markup and feedback allows the system to quickly adapt to new types of frod and market conditions. It is based on PyTorch, TensorFlow and an open development methodology. VIEWAPP's flexibility allows analytical neural networks to be implemented for any business.
Digital VIEWAPP: speed, accuracy and trust
The inspection of a car, for example, the most common case, takes 15 minutes instead of several hours or even days, and the cost of the procedure is reduced by 5 times compared to classical methods. All this with a guarantee of authenticity and real-time support.
VIEWAPP has already become the inspection standard for insurers, banks and companies that need a reliable assessment of an object's condition. But most importantly, it continues to evolve. And each new level is a step towards automated, secure and fair digital interaction.