AI Vehicle Fraud Detection: Prevent Insurance Scams with Real-Time Analysis
Inspektlabs delivers advanced vehicle fraud detection solutions that analyze photos and videos to identify old damage, missing coverage, photo manipulation, and fraudulent claims. Our AI detects fraud patterns in real-time, protecting insurers from inflated claims and saving millions in fraudulent payouts.
How Does AI Detect Vehicle Insurance Scams in Real-Time?
Our AI analyzes every vehicle inspection for fraud indicators and common insurance scams, from prior damage concealment to photo manipulation and metadata anomalies.
Real time feedback to customers on quality of captured photos/videos
Coverage Verification
Metadata Analysis
Sticker Detection
Cause of Damage
Footstep Counting
Video Inspection Compliance
Picture-in-picture detection
Works Best For
Fraud during Insurance claims
Also Check Out
Damage Detectionnn
Detect 21 types of damages across metal, plastic, fiber, glass and rubber parts
Fraud Detection
Specialised fraud detection using photos/videos e.g. old/prior damages, metadata analysis
Claim Assessment
Claim estimation & review products customized for each market's repair practices
Text Scanning
Auto-read Odometer, VIN, License plate or any other text on the vehicle
Photo & Video Capture App
Web apps for high quality photo and video capture by the end customer
Real Time Inspection App
Real time feedback to customers on quality of captured photos/videos
Commonly asked questions
01
How does AI detect vehicle insurance fraud?
AI vehicle fraud detection analyzes photos and videos for fraud indicators including prior damage, missing vehicle sections, stickers hiding damage, metadata anomalies, and photo manipulation. Inspektlabs uses computer vision to identify old vs new damage, verify GPS/timestamps, detect repainting, and flag suspicious patterns in real-time.
02
Can AI detect prior damage on vehicles?
Yes. Inspektlabs AI detects old or prior damage by analyzing visual patterns, paint consistency, repair marks, and damage characteristics. It distinguishes between new damage from a recent incident and pre-existing damage that may be fraudulently claimed as new.
03
What types of auto insurance scams can AI detect?
AI detects prior damage concealment, incomplete vehicle coverage, sticker-hidden damages, photo/video manipulation, metadata tampering, vehicle switching scams (footstep counting), false damage cause claims, repaint fraud, and staged accident scams. The system provides real-time alerts for high-probability fraud cases before claim approval.
04
How does Inspektlabs verify VIN and prevent vehicle switching?
Inspektlabs AI automatically reads and verifies VIN and license plate information to confirm vehicle identity. The system uses footstep counting to detect if multiple vehicles are being photographed during a single inspection, preventing vehicle switching fraud.
05
Do you have a support desk to fix issues?
Yes. We have a 24x7 support desk to address and fix any issues you are facing with our product. You can raise a JIRA ticket or directly email us to flag your issues.
06
Can Inspektlabs integrate with my existing systems?
Yes. We provide a variety of API integrations to seamlessly integrate into your existing system and workflow.
07
How does Inspektlabs help detect fraud?
Inspektlabs AI comes pre-built with various measures to help detect fraud.
With Inspektlabs AI, you can keep track of vehicle info (VIN, license plate info), detect old vs. new damage, identify stickers, single vs. multi-point damage, and instances of vehicle switching.
Additionally, we also collect data in real-time with metadata (GPS, timestamps etc). that verifies no tampering is done with the video.
08
How does Inspektlabs handle VIN, license plates, and odometer readings?
Inspektlabs AI is trained to identify vehicle identification information like VIN and license plates which is later verified to confirm vehicle ownership.
Capturing the odometer reading is also a mandatory step in the inspection workflow while using Inspektlabs AI (Read more)