A Smart Forgery Detection Portal with 100% Prevention of Altered Images
Client Overview
Our extensively experienced team of Python developers worked alongside a leading property and insurance enterprise to protect their fast and fully digital claim process from image fraud. By using advanced AI techniques, we minimized the challenge of manually checking each suspicious photo.
The client provides auto, home, and property insurance policies, with a rapid digital payout system for minor claims. Over 2 million digital claims are processed each year, and with heavy reliance on customer-submitted photo evidence, it becomes challenging. The rapid digital payout feature multiplied the risk because it allowed the customers to receive quick payouts by simply uploading photos of damage.
Customers could submit photos using a mobile app, which is why the count of edited, reused, or AI-generated photos was more. The insurer noticed the rise in these suspicious images, and manually vetting them was not practical at such a large scale. That is when the PSSPL team of experts designed and implemented a Forgery Detection Portal that checks every uploaded image before it goes into the core system.
This platform functioned like a security gate for validating all claim photos, identifying manipulated images, and smoothly processing the genuine claims. This made operations faster, smarter, and better with very little time wasted on fraudulent submissions.
Industry
Insurance
Company size
Medium
Location
USA
Project Duration
6 months
Services Provided
- AI-based image checking to detect forgery
- Security and compliance support for the claims approval team
- Fraud detection for digital claim photos
- Flagging risk for suspicious images in real-time
Technologies Used
Frontend
React.js
Backend
Python, FastAPI
Database
PostgreSQL
Image Processing & Metadata
ExifRead, Pillow (Python Imaging Library)
The Challenge
The end value for the clientโs business revolved around speed and customer convenience. Letting customers upload claim photos from their mobile phones made claims faster, but at the same time, it made room for new types of frauds that were difficult to detect with the human eye.
Some of the major challenges included:
- There was a rising need for real-time checks of every image as soon as it was uploaded. At the same time, ensuring that the security check did not take too long was equally important to deliver the promise of rapid payout without slowing users down.
- Easy access to editing and AI tools led to rising image manipulation, making it simpler for fraudsters to create realistic fake photos. As a result, those approving the claims were unable to decide if it was a real or modified photo.
- Fraudsters often use editing techniques to remove or change vital image details, such as capture time, location, or camera data. This meant that, even if the file was suspicious, there were no obvious visual clues to validate it.
- The client wanted an early detection of the fake photos before they made it to the core system for protecting the internal system.
Before we designed the Forgery Detection Portal for the client, they were trying to spot fake images manually from the millions of claim photos received each year.
That was simply not realistic and feasible for such a high-volume flow of photos. As a result, the team at PSSPL decided to craft a solution that functioned like an invisible security layer. A system that checks every image beforehand, instantly blocks the suspicious ones, and lets real claims be processed without friction.
The Forgery Detection Portal built by our team does just that. It provided the security team with clear and visual evidence of claims that needed further investigation.
Manish Langa
AI Practice Head, PSSPL
How PSSPL Helped
The PSSPL team designed a Forgery Detection Portal to verify the originality of the claims photo.
The goal was to have each photo pass through this portal and then make it the normal claims process if it was not suspicious. If it is found to have some issues, it is either flagged or blocked before any insurer spends time on it.
When a customer uploads a photo through the mobile app, this portal runs it by the security system to make multiple checks such as the internal image structure, hidden unusual details, and suspicious patterns indicating editing.
To strengthen the internal security furthermore, we designed a simple web dashboard that helps the analysts:
- Get a live view of the images being scanned.
- Quickly review any image that is flagged to be suspicious.
- See the full history of investigation and audits.
Key Features Delivered
The PSSPL team of Python developers designed the Forgery Detection Portal with the following key capabilities, ensuring that it seamlessly aligned with the clientsโ existing workflow while reducing manual effort and time.
Security Checkup Before Images Reach the Core System
Each photo that a customer uploads first goes through the Forgery Detection Portal, and from there, the genuine images make it to the core system. Images that look edited are blocked so that the insurers spend less time and effort on fake submissions.
Live Security Dashboard
The insurer team can easily ensure security in real time by simply logging into the dashboard. By converting raw image checks into a clear, visual workflow, this dashboard can help non-technical staff understand and act accordingly. This dashboard can help to review flagged images, areas where changes were detected, and track fraudulent activities.
Deep Checks to Identify Suspicious Photos
Besides looking at what the image shows, the portal also checks how the image was built. It tracks any copy-paste edits, mismatched specifics, and any missing history information. This helps to identify images that look original but have clear signs of manipulation in the file.
Automatic Audit and Investigation
For every image, the portal keeps a record of the scan, the outcome, and the results behind it. This type of document trail makes it easy for the insurer to respond to regulatory queries with the automated security process that each image passes.
Key Business Outcomes
Prevent Forged Images Entry into the Claims System
Digitally altered photos can now be prevented from entering the core claims system. This type of strong protection against image fraud can reduce the chances of paying for fake claims.
No Customer Delay with Fast Image Scan
The average image scan happens under a second, so customers donโt face any delay. The rapid payout promise ensures a strong layer of protection is added.
Reduced Manual Check for Suspicious Images
There is a 95% reduction in manual inspection of suspicious images. The Forgery Detection Portal automatically handles most of the work, so that the insurer can focus on genuine claims processing.
Complete Audit Trail for Each Image Scan
Every scan report is recorded in the dashboard, providing clear proof of audit and compliance whenever needed.
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